Durham University Postgraduate Prospectus 2022 - Science

Be Inspired Postgraduate Prospectus 2022 Science

Visit us Don’t just read about how extraordinary Durham is – come and visit us.

Our open days are a great way to find out more about postgraduate study at Durham.

You will have a chance to speak with our academic staff to find out more about your area of interest.

Learn about ways of funding your studies and hear from some of our current students about what it’s like to live and study in Durham.

Welcome to Durham University A historic institution World-class qualifications Fascinating courses taught by leading experts Research degrees Part of the elite Russell Group of institutions Global impact A truly international university A campus for the future World-class facilities Supporting your studies Looking after your wellbeing Enhance your employability Pursue the career you want

Colleges and accommodation Our collegiate system

Register your interest and we will keep you updated on our forthcoming events for postgraduates.

Discover Durham City Welcoming and friendly Explore North East England A unique regional identity

World-class qualifications and courses taught by leading experts.

Wider student experience Enjoy support and inspiration

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Global impact Examples of our research and the positive effect it is having.

Durham Students’ Union The champion of every student Funding and finance Understand the costs involved Apply to Durham Join our community of extraordinary people Courses Our courses for 2022

Professional development Opportunities to enhance your abilities Our location In the heart of a vibrant region

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Our courses Our postgraduate courses can take you where you want to go.

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Inspiring your success In your college and beyond, a huge variety of sports, societies and more opportunities are waiting for you.

Sign up here

CONTACTS T: +44 (0) 191 334 1000 W: durham.ac.uk/study/askus Learn more

“Durham is the perfect mix of having a wide university experience with a great sense of community.”

Lydia Griffin

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FIND OUT MORE Questions about applying for postgraduate study at Durham? Contact the Recruitment and Admissions Office.

Looking for further information about postgraduate research opportunities?

Please contact the relevant department.

durhamuniversity

@durhamuniversity

@durham_uni #DUinspire

@thedurhamstudent

DurhamUniversity

durham-student.org

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Inspiration for your future A postgraduate degree from Durham puts you in an outstanding position for a career to change the world.

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Welcome to Durham University A globally outstanding centre of teaching and research excellence, a collegiate community of inspiring people, a unique and historic setting – a university like no other.

We might be one of the UK’s oldest universities, but we have a pioneering mindset and an open, inclusive outlook.

Choose from over 200 postgraduate degrees, taught by worldleading experts in first-class facilities, and actively benefit from the cutting-edge research taking place right here in the University.

Whether you’re looking to connect with international industry and business through your work, or the global academic research community, you’ll have the freedom and facilities to explore what’s important to you.

World Top

100

university, ranked 82nd in the QS World University Rankings 2022.

Top 10

of our students are involved in sport, music, theatre, volunteering or student enterprise.

More than

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UK university, ranked 5th in The Guardian University Guide 2022 and 6th in The Complete University Guide 2022.

With a mutually supportive and diverse group of exceptional peers and supervisors, you’ll push the boundaries of current thinking and research. Together, you’ll embrace innovation, inspire change, and answer the big questions.

85%

countries are represented here, creating a diverse and welcoming community.

90% of our subjects are ranked in the UK top 10 in The Complete University Guide 2022.

You can also expect the warmest of welcomes into our collegiate family. And all this within the evocative and historic surroundings of the city, county and community that is Durham.

So, if you’re looking for excellent teaching and research opportunities, outstanding facilities, and a unique college experience, look no further.

Are you ready to achieve something truly outstanding?

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54th

in the world for employer reputation in the QS World University Rankings 2022.

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Our

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colleges provide a sense of community and belonging. All of our colleges embrace the UN’s 17 Sustainable Development Goals (SDGs).

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World-class qualifications At Durham you’ll find a wide range of fascinating courses, taught by world-leading experts.

You’ll have the freedom and facilities you need to explore what’s important to you, as well as the support of a diverse group of exceptional peers and supervisors. You’ll be both challenged and a challenger. You’ll push the boundaries of current thinking and research to achieve something truly extraordinary.

There are many different ways to study at our globally outstanding university. Apply for a taught course and learn through lectures, seminars, and practical-based study. Or carry out your own studies under expert supervision as part of a postgraduate research degree.

Postgraduate taught courses Whatever you’re interested in and whatever you want to achieve, you’ll find the support, inspiration, and facilities you need to achieve something extraordinary.

Bringing together core and optional modules, you’ll learn through a combination of lectures, seminars, practicals, and tutorials, culminating in a substantial dissertation or research project.

Choose from over 200 postgraduate taught courses in a variety of different subject areas, leading to qualifications such as Master of Arts (MA), Master of Science (MSc), Master of Business Administration (MBA) and Postgraduate Diplomas.

As well as timetabled classes with key department staff, you’ll be expected to undertake a significant amount of independent study and general reading to broaden your knowledge and develop an in-depth understanding of the concepts and methods found within your specialist area.

Outstanding teaching Delivering cutting-edge, research-led education is at the very heart of everything we do.

Our academic staff are so much more than lecturers teaching from books. They carry out ground-breaking research that shapes our departments, inspires our courses, and directly informs our teaching.

You’ll learn from world leaders and actively benefit from the world-class research taking place right here in the University.

What to expect If you’re looking to expand your knowledge and develop your skills through a structured degree, a postgraduate taught course could be ideal for you.

As you produce your final research piece, you’ll have the opportunity to specialise further into your chosen subject area, with support from your academic supervisor.

The most exciting aspect has been the number of opportunities available to further develop my professional skills.

Entry requirements For most Masters degrees, you’ll need a good undergraduate degree (usually at least a 2:1) or an equivalent qualification in a relevant subject. Some courses will also have additional requirements, such as relevant work experience.

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Watch the film The benefits of postgraduate taught study Postgraduate study will allow you to expand your knowledge, develop your skills, specialise in a particular area, or make a career change. It could also provide the foundation for further study at research degree level. Whatever your next steps, a postgraduate degree from Durham will ensure you’re on the path to achieve something extraordinary.

Ellen Ridley

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Research degrees We are among an elite group of the UK’s research-led universities.

Durham is a proud member of the Russell Group of research-intensive universities. We offer a wide range of world-class research degrees, including: • Masters by Research, including MA, MSc, and MJur. Completed over one year full-time or two years part-time • Masters by Research, including MLitt, MMus, and MPhil.

Completed over two years full-time or four years part-time • Doctoral Awards for PhD, DThM, and DBA. Completed over three years full-time or six years part-time.

Doctoral awards Doctoral degrees, such as the PhD, are the highest level of degree you can achieve. Having a Doctoral degree indicates that you’re an expert in your chosen area of study. Any research undertaken for your PhD must be original and should aim to make a significant new contribution to a field of knowledge.

Being part of a research-led university with many world leading academics has encouraged me to make connections, collaborating with other scientists around the world.

Will Trewsby

Over the course of your study, you will produce a supervised thesis of up to 100,000 words and discuss your findings in an oral examination known as a viva voce. It’s important that your thesis shows evidence of originality and your research capabilities. It should also be suitable for publication.

What to expect As a postgraduate research student at Durham you’ll have the freedom and facilities to explore what’s important to you. You’ll conduct your own project with the support of at least two academic supervisors, who will help you undertake your research and ensure you complete your degree on time.

Your supervisory team will have appropriate expertise in your area of study, and will have undergone extensive training and mentoring programmes to ensure they deliver high-quality supervision.

Durham is a world-class centre for research. As a postgraduate researcher, you’ll have the opportunity to contribute to the research impact of your department by presenting papers at seminars and conferences, and by working closely with your inspiring community of peers and supervisors. At PhD level, you may also be able to teach undergraduate classes during your degree course.

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The benefits of postgraduate research study As you complete your postgraduate research degree, you’ll be making a significant contribution towards your chosen field. Your work could influence others in the future, opening up an incredibly diverse range of career options, whether you intend to stay in academia or explore opportunities further afield.

If you’re hoping to pursue a career in academia, with a role in researching or higher education teaching, a PhD is an essential qualification. You’ll also gain highly transferable skills, including analytical, intellectual, and research skills, which are desirable across all industries.

Entry requirements To study a Masters by Research course at Durham, you’ll need a good undergraduate degree (usually at least a 2:1) or an equivalent qualification in a relevant subject. For Doctoral awards, you’ll need a Masters degree in a relevant subject.

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Global impact Join a truly international university.

Here are just a few examples of the huge range of research activities that we are involved in and the positive effect that they are having on the world around us.

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KEY Matariki Network partners

Student exchange agreements

Joint programmes

Partner universities

Plus more than 200 agreements in Europe

Covid-19

Energy and Clean Growth

How dogs could join the fight against Covid-19 A specialist team of researchers is finding out if specially-trained bio-detection dogs could be used as a new rapid testing measure for Covid-19.

Shaping the future of energy Our researchers are helping to address the world’s energy challenges as we switch from fossil fuels to clean energy sources.

Watch the film

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Watch the film

Process Industries and Surface Science Developing a simple mesh to clean up oil spills Our surface scientists have developed a coated mesh, which could be a faster and more eco-friendly way to clean up oil.

Watch the film

Heritage and Culture

Hazard and Risk

Cosmology and Astronomy

Exploring the Forbidden City A new collaboration with China’s Palace Museum means that our archaeologists are the first UK university team to work inside the walls of the Forbidden City.

Giving women a voice in disaster risk reduction Women in Nepal are having a say in how to reduce the risk of disasters such as fires and landslides, thanks to Durham research.

Increasing our knowledge of the universe Our astrophysicists, cosmologists and space scientists are searching for answers to some of the biggest questions in physics today.

China

Watch the film

Nepal

Watch the film

Universe

Watch the film

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Take chances and opportunities that come your way even if you aren’t sure whether they are going in the right direction.

Short forays into new career fields have helped me develop my career and learn new skills.

Natalie Starkey

MSci Geological Sciences graduate, writer and science communicator, podcast science host and Public Engagement Officer for Physical Sciences for the Open University.

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Let our facilities inspire you Whether your research centres around Durham’s labs or libraries, our facilities are recognised globally as being among the very best.

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A sustainable campus for the future World-class students.

World-class facilities.

At Durham, you’ll find purpose-built lecture theatres and seminar rooms, as well as state-of-the-art labs and libraries, museums and archives with global research collections.

We are investing IT facilities Technology evolves at an incredible rate. We ensure that you have access to the very latest in digital technology. Our IT facilities include: Learn Ultra - a virtual learning environment; Encore lecture capture technology so you can replay lectures at your own pace; a Microsoft Office 365 account; and wireless coverage across campus.

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Teaching and Learning Centre We’re committed to the continual development of our state-of-the-art campus. Our Teaching and Learning Centre is home to cutting-edge facilities, the latest digital technologies, and a range of new learning environments, including lecture theatres, education laboratories and classrooms designed for real-time, international collaboration.

£350m in over 20 estate

projects between 2017 and 2027.

University Library and Collections Our libraries and collections give you over two million reasons to come to Durham, including 1.6 million books; 400,000 online resources; 100,000 photographs and 82,000 museum objects.

Our facilities are available to all Durham students, so discover for yourself how our libraries, museums and special collections can contribute to your studies and research and empower you to achieve the best that you can.

Anytime, anywhere: Our extensive online offer enables you to access resources, collections, exhibitions, digitised materials, open access research and support. We also provide a gateway to collections held outside the University Step Inside: We have flexible study spaces to meet your needs, from research-based viewing rooms to individual and group study spaces.

Our libraries and venues are designed around you, making them accessible and welcoming.

Be Inspired: The many inspirational items we hold in our world-class museums, galleries and archives contribute to teaching and learning across the institution, helping to inspire creative and dynamic projects from students across all subjects. Our cultural engagement is an ever-growing entity, with religious festivals, art exhibitions and international projects enhancing your studies and your student experience.

Always here: We’re here to help you with your queries and to navigate our spaces and services, both online and in person, 24/7.

You will find us approachable and supportive. Our knowledgeable and passionate staff will enable you develop your information skills to use our collections, resources, access other international research material and apply them to your learning.

Bill Bryson Library is our main University Library where you will find a fantastic range of resources to support your studies.

Learn more

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Our University, our planet At Durham University we’re developing new ways of thinking, shaping a better future for people and planet…

#1 Eco campus

Our staff and students are working together to make our campus, communities and our planet a better, greener, more sustainable and healthier place to be.

Sustainable Development Goals We’re proud to have been named as one of the world’s top universities for our contribution to a number of the United Nations’ Sustainable Development Goals (SDGs).

A new set of rankings places us in the top 50 in four SDGs: Sustainable Cities and Communities; Responsible Consumption and Production; Life on Land; and Peace, Justice and Strong Institutions.

We also appear in the world top 100 in a further seven SDGs: Reduced Inequalities, No Poverty, Life Below Water, Decent Work and Economic Growth, Climate Action, Industry, Innovation and Infrastructure and Zero Hunger.

World-leading environmental research We aim to lead society in becoming more environmentally sustainable, through our world-leading research.

Experts from the Durham Energy Institute are looking at ways to heat homes and workplaces by harnessing the warm water in abandoned coal mines, our physicists are working on ways to make solar power cheaper and more efficient and our surface scientists developed a coated mesh to help clean up oil spills.

And that’s just for starters…

#5 We’re constantly reducing

We’re proud to have been awarded ‘Platinum’ for EcoCampus, a scheme that helps UK colleges and universities manage their environmental impact.

our impact on the environment by cutting out single use plastics.

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technologies including ground source heat pumps and solar panels on campus so we can generate our own electricity and we don’t invest in companies in fossil fuel extraction!

take part in a range of environmental volunteering, including working with wildlife trusts, in local conservation areas and organising beach cleans and litter picks.

#6 We inspire our students to

#2 Our Students’ Union has

be responsible citizens. For example: at the end of each academic year, rather than throw away belongings they no longer want, students can donate them to charity through our Green Move Out project.

seven societies focused on environmental issues: Beekeeping, Embrace the Waste, Sustainable Fashion, and Finance, Students for Sustainable Living and the Vegetarian and Vegan Society.

#4 We’ve recently There are so many ways in which you can make a difference at Durham University.

See durham.ac.uk/greenspace @DUGreenspace Find out how our students are making an impact at sites.durham.ac.uk/studentblog

#7 We have renewable

#3 Our staff and students

launched our Integrated Sustainable Travel Plan, to enable staff and students to choose active transport.

#8 We shop local, our food

suppliers use local growers and local produce as much as possible.

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Supporting your studies We don’t just provide academic support. We care about your personal wellbeing too.

Support for autistic students We are a partner in the autism&uni initiative, which aims to assist autistic students in their higher education transitions. Our dedicated web page provides a toolkit to help you through all stages of applying to, studying at and progressing from university.

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Disability support Whether you’ve got a disability, a medical or mental health condition, or a specific learning difficulty, our specialist Disability Support Service will be on hand to offer advice and guidance. It’s important that you let us know your requirements when you apply so we can make sure we have the appropriate support in place before you start your course.

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Chaplaincy and faith provision We’re proud to be a multicultural, multi-faith community.

We celebrate our differences and firmly believe they make us stronger. Our Network of University Chaplains is committed to welcoming and supporting students of all faiths, and those of none. We provide dedicated facilities for our main religious communities, including prayer rooms, events and societies, single-sex accommodation, and kosher and halal dining. If you have any special requirements related to your faith, please let us know.

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Counselling Throughout your time at Durham, you’ll have access to our Counselling service.

Whatever you might be going through, our team of trained and experienced counsellors, psychological wellbeing practitioners and mental health advisors will be on hand to offer you support and share their expertise.

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Health and wellbeing A healthy lifestyle and overall sense of wellbeing will help ensure that your time here is the best it can be. Our Student Wellbeing Office runs a proactive student wellbeing programme of activities, events and campaigns.

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Childcare and local schools Balancing childcare and postgraduate study can be challenging. Our day nursery provides high-quality childcare for children aged between 0 and 5. So you can rest assured that your little ones are being cared for in a safe and stimulating environment, while you focus on your studies.

Learn more For a list of local primary and secondary schools, and information on applying for a place for your child, see below.

Learn more

Supportive environment Our Student Support Services are located at the Palatine Centre.

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Enhance your employability Inspiring you to achieve something truly outstanding.

When you study at Durham, you’ll graduate with so much more than a postgraduate degree. You’ll have the chance to develop your research skills, explore your career options, and ensure you have the best possible start to your future.

How do we know? Our graduate success rates speak for themselves! Our graduates have found work in a range of roles in national and international companies, including global names such as IBM, the United Nations, Saatchi & Saatchi, Deloitte, the NHS, EDF Energy, the BBC, The Times, and the Civil Service.

Careers & Enterprise Centre Through the Careers & Enterprise Centre, we will support you in pursuing your career or ambitions. Our services include: • Expert advice. Support and guidance with CVs, applications, and interview preparation.

• Build your network. Meet recruiting employers from a range of industries and alumni working in a diverse range of sectors. Attend careers fairs and employer networking events.

• Develop your skills. Give yourself the best chance of success with communication, problem-solving, and teamwork skills.

• Online vacancies. Explore graduate opportunities, internships, and part-time jobs.

• Start up. Support for new ventures, including coaching sessions, workshops, funding and co-working space on campus.

• Exclusive work experience opportunities. Access work experience opportunities in a range of sectors, exclusively available to students and graduates.

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An inspirational, inclusive community When you graduate from Durham, you’ll join an active and inspiring alumni community. Our Development and Alumni Relations Office supports our alumni around the world.

Learn more

Award-winning enterprise Sphera, formerly known as Plastech Innovation started life as a challenge as part of our Mini MBA, but fast became a successful start-up business.

With support from the University, founders Natasha, Scott and Phil have manged to secure funding and have already won a number of business awards.

92%

of UK and EU taught and research leavers went into work or further study within fifteen months of leaving Durham (Graduate Outcomes Survey 2018/19)

Watch the film

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Professional development Prepare to achieve something extraordinary.

Whether you want to enhance your career options or you’re considering a career in academia and want to develop your knowledge in a specific field, you’ll have opportunities for professional development.

If you’re in the early stages of a career in research, ongoing professional development is vital.

Through the Durham Centre for Academic Development, you’ll find an incredible range of opportunities to develop your knowledge and skills, including the Durham Researcher Development Programme and the Durham University Excellence in Learning and Teaching Award.

Researcher Development Programme The Researcher Development Programme will equip you with the skills needed to succeed as a professional researcher, working in both academic and non-academic environments.

Through the programme, you’ll have the opportunity to take part in face-to-face workshops, as well as a wide range of inspiring online courses.

Durham University Excellence in Learning and Teaching Award (DELTA) DELTA gives you the opportunity to enhance your practice in learning and teaching. Upon completing the programme, you’ll receive the University award, as well as an Associate Fellowship of the Higher Education Academy, the UK professional body for teaching and learning in higher education.

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Academic writing and communication skills Durham Centre for Academic Development (DCAD) supports all postgraduates in developing their academic writing, skills and language.

Based on the Durham City Campus, our pre-sessional courses are specifically designed to prepare international postgraduates for the demands of academic studies here at Durham.

Successful completion of the relevant pre-sessional will also satisfy the language condition for entry onto a Durham degree. All postgraduate students can continue to refine and develop their academic communication skills after beginning their chosen degree course.

Our Academic Skills Development workshops, academic skills courses and one-to-one writing consultations are designed to help you succeed in your work at Durham.

Pre-sessional academic English courses The pre-sessional courses are designed by DCAD to prepare postgraduate students for the expectations of study here at Durham.

Pre-sessional is demanding and rewarding, and will develop both your academic written and spoken performance, as well as your academic study skills. You will also have the opportunity to explore academic issues from the perspective of your own discipline.

Through pre-sessional you will become familiar with a range of teaching and learning methods common in Durham University, including small-group seminars (approx. 10 students to a tutor), lecture engagement, peer project work, and guided independent study. You will also become familiar with Durham’s Virtual Learning Environment and the Library catalogue during your studies, while enjoying a Durham College experience and learning how College supports students in their academic experience. All of this is intended to provide you with a solid foundation for flourishing on your main degree programme. If you have not met the language condition for your chosen degree at Durham, you may be eligible for a pre-sessional course. Your conditional offer letter from Durham will state which length of course you can take. Many unconditional students also apply and join us.

The college experience Pre-sessional is partnered with Josephine Butler College (JB). Pre-sessional students are automatically a member of JB and are encouraged to choose accommodation in this college for the duration of their pre-sessional course. During the summer when the 10 and 6 week pre-sessional courses run, JB offers a full social calendar, pastoral advice and support, and access to community mentors. This ensures that pre-sessional students become familiar with Durham’s college system and its wide-ranging benefits.

To find out more about course content, fees, frequently asked questions, accommodation, and links to useful sites and resources, see durham.ac.uk/ dcad/study/presessional

Year-round academic writing and skills development DCAD offers a range of tailored sessions and short courses throughout the academic year to support your success at Durham.

Our provision tends to focus on aspects of academic writing, such as text structure, integration of reading, and academic language choices, but sessions are also available in areas such as note-taking, presentation skills and time management. Some of our disciplinespecific workshops run within academic departments, and are often tied to a particular assessment task. We also offer one-to-one consultations, where you can bring along an assignment draft for discussion and development.

Programme

All of these Academic Skills Development services are free of charge to registered Durham students.

You can find details about academic skills development and writing consulations on our website: durham.ac.uk/dcad/ current/academic

Start dates

Entry level

Costs (2019)

Summer Pre-sessional

April, June and August

See your Durham Conditional Offer Letter

20 weeks - £10,812 10 weeks - £5,406 6 weeks - £3,243.60

Academic Skills Development

All year

Any student studying at Durham University

Free of charge

To review each department’s English language requirements, as well as all of the English qualifications that are accepted, see: durham.ac.uk/learningandteaching.handbook/1/3/3

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Inspirational surroundings A postgraduate course at Durham can take you beyond the city walls.

New horizons Bamburgh Castle in Northumberland.

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Rollover numbers to find out more

Our location World-class education and living in a magnificent city.

Durham University 1. Sports and Wellbeing Park 2. Upper Mountjoy Campus 3. Lower Mountjoy Campus 4. Dunelm House - Durham Students’ Union 5. Hill Colleges 6. Bailey Colleges

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The historic city of Durham is compact, yet varied. Easy to get around, it offers a wide range of cultural and sporting pursuits, and also a huge number of places to eat, drink and meet friends. So whatever your interests, you are certain to find your place here.

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Durham City Durham is a friendly and welcoming city, with the famous Cathedral and Castle at its very heart.

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In the ancient, cobbled streets, you’ll find shops and boutiques, cafés, bars and restaurants, and plenty of culture. From walks and boat trips along the River Wear, to street markets and museum visits, there’s no shortage of things to do!

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No matter where you are in the City, you’ll never be far from one of our colleges, academic departments, or facilities. The historic city also offers a huge range of attractions, places to visit and activities, including: • Sports and Wellbeing Park • Botanic Garden • Oriental Museum • Palace Green Library and Gallery • Assembly Rooms Theatre • Gala Theatre and Cinema • The Riverwalk leisure complex.

Just 17 miles from Newcastle upon Tyne in North East England, it’s also easy to hop on a train to London, Edinburgh, or Manchester. Newcastle International Airport is also close by if you want to explore the rest of the UK and beyond.

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Edinburgh Newcastle Durham Approximate travel times by train Durham to Newcastle – 12 minutes Durham to London – 3 hours Durham to Edinburgh – 1 hour 45 minutes Durham to Manchester – 2 hours 10 minutes

Manchester

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London

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Durham City 7. Durham Cathedral 8. Durham Castle 9. Main shopping area 10. Market Place 11. Gala Theatre and Cinema, bars and restaurants 12. Bus station 13. Railway station 14. Riverwalk leisure complex

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Want to find out more?

View our online 360s to see what Durham University and Durham City have to offer and to give you a real feel for student life at Durham.

Learn more

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Discover Durham City Durham might be small in size, but it’s big on things to do!

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Life in Durham 1.

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Durham Castle and Cathedral Durham Castle and Cathedral

Student blogs

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Explore North East England A vibrant region full of exciting things to do and beautiful places to discover.

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Sage Gateshead Sage Gateshead

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More than

700

college sports teams across 18 sports.

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music societies – 28 Music Durham, eight chapel choirs and 50 college societies.

3,000 active student volunteers.

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More than

200

student societies to join.

£2.4m investment in the historic Assembly Rooms Theatre.

Inspiring your success With the support of our collegiate system and our wider student experience, Durham is a place to learn and grow.

No.1

UK university for team sports.

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Colleges and wider student experience A sense of community which is distinctive to Durham.

You can expect a warm welcome into the rich extracurricular culture of our collegiate family. Our colleges are safe, supportive, and inclusive. They’re full of friends who’ve got your back. You’ll feel at home from the moment you step through the door, until long after you leave.

Joining a college Our collegiate system makes Durham truly exceptional. Here, every student is a proud member of a college, and every college has its very own character and traditions.

The cornerstone of our extraordinary wider student experience is the colleges. In your college, you’ll have the opportunity to take part in sport, music, theatre and volunteering.

You’ll join parties, dinners, clubs, and societies. And you’ll be surrounded by an extraordinary, diverse, and multidisciplinary community of academics, students, and staff from different backgrounds and cultures.

What do colleges offer?

• A multidisciplinary scholarly community. Engage in inspiring intellectual conversation. Embrace debate and find answers to the big questions.

• Extracurricular opportunities. It’s not all academic. Explore a range of sports and activities, societies, and voluntary positions to enhance your personal development.

• World-class facilities. Purpose-built spaces for academic study, socialising, sport, music, drama and arts performances.

• A truly international community. A friendly, inclusive college community with students from around the world.

• Ongoing support. We don’t just provide academic support, we care about your personal wellbeing too. Your college is your first point of contact for any issues you may have or support you may need.

• A home from home. All University accommodation is managed by our colleges. A variety of room and catering options are available, all in a beautiful setting.

• Prepare to inspire. Develop your leadership skills with roles and responsibilities within your college.

• Events. A lively events calendar with regular college and student-led activities, including seminars, lecture series, balls, concerts, theatre productions, and more.

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Postgraduate accommodation As a full-time postgraduate student, you’ll have the option to live in the heart of the action in college accommodation or rent non-University accommodation in Durham. Each college offers a variety of comfortable study bedrooms, some with en-suite facilities.

Accommodation for couples and families We are committed to making the university experience accessible to everyone. We offer a limited number of furnished, self-contained, one-bedroom, two-bedroom or three-bedroom postgraduate flats for couples and families.

During my time at Durham I have done many things I never thought I would do from being part of a charity fashion show to having formals in a castle, they have all been unforgettable experiences!

Non-university accommodation Some of our postgraduate students prefer to live in Durham’s historic centre or the surrounding area. There is plenty of private rental accommodation available, including fully furnished properties for individuals, groups, and families. The Accommodation and Allocations Office can provide support and guidance.

Learn more

Student blogs

Eli Ansari

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Enrichment activities Whatever you love doing, whatever you might like to try, you will find support and inspiration here.

At Durham we split our student enrichment activity into seven themes. We call them Domains of Participation, and they help to demonstrate the breadth of opportunity available across the University: Arts and Culture: You can showcase your talents, do something entirely different or enjoy the entertainment and appreciate the work of others. Our performing arts, our visual arts, our museums, our art collections and our student media are thriving at Durham and there really is something for everyone to enjoy.

Enterprise and Employment: Your career can get started long before you graduate, from organising student-led events to participating in work-study opportunities and developing start-up companies.

Intellectual Enquiry: You’ll have many opportunities for curiosity-led academic activity beyond your degree course - from engaging with guest lecturers in your Department, to taking part in dissertation “open mic” nights in your College.

Building Communities: Some would say this is the foundation of the Durham experience! Dining as a community, helping to run your Common Room, taking part in celebration events, faith societies or peer mentoring and much more.

Sport and Wellbeing: Physical activity is a cornerstone of the student experience at Durham. From international representation and University and College Sport, right through to personal training, fitness and wellbeing classes, there is so much for you to enjoy and participate in.

Wider Community Engagement: Volunteering, supporting environmental projects and pro-bono work are some of the most meaningful memories many students build of their time at Durham.

Active Citizenship: Our students don’t hesitate to stand up and work for positive change. The University and the Students’ Union are home to a host of issues-based and political groups and campaigns on key student issues.

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Here’s a little bit more information about some of the opportunities available…

Music The perfect place to embrace your passion for music Whether you want to compete on an international stage, play for fun, or simply listen and enjoy, we have got a group for you.

From chapel choirs to bands, and chamber groups to orchestras, our thriving music scene embraces every style. Here you will find a cappella groups and world music ensembles, chamber quartets and rock operas.

As well as local, national, and international performances, you’ll also have the opportunity to take part in masterclasses and outreach work, or join Music Durham’s student committee to learn new skills in leadership, event planning, and arts management.

Each college is home to a host of ensembles and performance opportunities, while the Students’ Union runs music societies ranging from rock to folk music.

If music production is more your thing, there’s even a DJ Society and a student-run record label, DH1 records.

I expected I’d get up to many things upon starting my studies here.

A tenor in a Barbershop choir was not on that list.

Adam Smith

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Sport Find your place in the UK’s largest university sports programme.

Sport is at the core of Durham student life. A huge range of sporting opportunities is available. Whether you are looking to keep fit or be part of a team, you will have the chance to join in and give it a go.

From joining college teams to competing at University level and beyond, there is a place for you. Whether you are already experienced or a complete beginner, the University offers exceptional opportunities to get involved. You might even discover a sporting talent you never knew you had.

At Durham, we are committed to your wellbeing too. We offer students every chance to participate in a variety of wellness activities, ranging from fitness classes to outward-bound clubs, and from pilates to movement psychotherapy.

Our sporting provision is second to none, we have recently invested £32 million in a Sports and Wellbeing Park, to make sure that our world-class facilities enable us to remain one of the UK’s foremost universities for sport.

College sport Our college sport programme is the largest in the UK. Every week and whatever your level, you will have the opportunity to compete in 18 sports across more than 700 different teams. This helps you to keep fit and healthy. It is also a great way to make new friends and have fun.

Volunteering Try something new and make a positive impact in your local community

University sport Durham has 57 University Sports Clubs, with a collective student membership of over 2,500. Most of our clubs compete in British University Sport competitions. We also have a growing National League programme. This allows many of our most talented students and clubs to compete at the highest level of sport in the UK. If you’re a high-performing athlete, our Athlete Support Programme will help you reach the next level. Support is available through strength and conditioning, performance analysis and injury rehabilitation. Sports psychology and a personal mentoring scheme will help you achieve your optimum performance and we currently support over 50 internationally capped athletes annually. All this while studying for one of the best academic degrees in the country.

It really is the best of both worlds.

We encourage our students to volunteer during their time at Durham. Through our student-led, volunteering and outreach programmes, you’ll be able to take part in over 80 projects.

These cover social inclusion, education, sport, the environment, and global citizenship. Students collectively volunteer up to 40,000 hours per year.

I have benefitted from being part of a team, meeting amazing and friendly people, and competing across the country.

As well as making new friends and enjoying new experiences, you will help to strengthen your local community. You will benefit from outstanding training opportunities and have the chance to earn nationally accredited qualifications.

Outreach Each individual college also has its own outreach programmes.

So you’ll be able to get involved in a wide range of volunteering opportunities wherever you feel most comfortable.

Student volunteers You will have the opportunity to support local, national and international charities.

Jasmin Strickland

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Durham Students’ Union We are the champion of every Durham student. We care about the things that matter to you.

• We stand up for your rights • We bring you together • We’re your Union Our members (all Durham students): • Run and participate in everything from stand-up comedy to Quidditch • Campaign, lobby and advocate for student issues and student rights • Actively shape your education, by ensuing the University hears the students’ voices.

Song and dance Durham University Light Opera Group (DULOG) performs Singing in the Rain, at the Gala Theatre, Durham.

Learn more

Theatre Play a part in one of the largest and most successful student theatre scenes in the country If you love theatre, Durham is simply outstanding. Here, students produce and perform an unparalleled range of eclectic and inspiring shows every year. You will be welcome whether you have a lot of experience or none at all.

You might like to tread the boards, or you might prefer to help backstage, produce or direct a show. You could even start your own theatre company. Durham Student Theatre (DST) will support you to do what you love doing or want to learn to do.

We make the future better for students. We want to make sure that students have the power and the opportunity to transform their time at Durham. Our job is to turn that vision into a reality. And that’s not all. We also have:

Durham University Charities Kommittee (DUCK) DUCK is our very own version of what other students’ unions call their Raise and Give societies. Our job is to help students and staff fundraise hundreds of thousands of pounds for local, national, and international charities.

There’s something for everyone, from events like the Santa Fun Run and the Cathedral Sleepout, to expeditions to Cambodia or Nepal, and not forgetting running the London Marathon. It’s a great way to get involved and raise money for incredible causes!

Learn more

• Our own student newspaper and radio station • Two cafés/bars, Kingsgate (pictured below) and Riverside, selling reasonably priced and tasty food and drinks. Located in Dunelm House with views overlooking the River Wear and Durham Cathedral • Academic student groups and discussions • A free, confidential and impartial Advice Service for when things don’t quite go to plan.

• A dedicated Postgraduate Academic Officer who works closely with students, including faculty reps, course reps and representatives from across the common rooms to ensure that they represent your views to the University.

With 30 theatre companies and its own dedicated 175-seat theatre, DST is always keen to recruit new members with a passion for performance and produces more than 100 shows every year.

Durham Drama Festival Showcasing the very best that DST has to offer, Durham Drama Festival is an entirely student-run, annual festival, celebrating new student writing and student-created shows.

National Student Drama Festival Year after year, DST is one of the most successful student theatre scenes of any university at the festival. In fact, for five consecutive years, Durham students have had multiple shows selected for the National Student Drama Festival. This is unprecedented and we are incredibly proud of this achievement. You can be part of it.

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Funding and finance If you’re planning postgraduate study, there are lots of things to consider. One of the key factors is finance.

Empower yourself with an understanding of the costs involved, as well as what support is available.

Tuition fees Tuition fees vary depending on your chosen course and whether you qualify for UK/EU or international fee status. Your fees cover the cost of registration and formal entry to the University, your teaching and supervision, and all examination and degree fees.

If you’re studying full-time, your tuition fees can either be paid in full at the start of the academic year, or on a termly basis. If you’re studying on a part-time, taught course, you can pay in full or set up a monthly Direct Debit.

Fees for taught postgraduate courses: Learn more Fees for postgraduate research degrees: Learn more

Are you a Durham graduate?

We’re offering a discount for all Durham alumni. If you’re a Durham graduate, you’re selffunding or partially self-funding your postgraduate study, and you meet our eligibility criteria, you’ll receive a reduction in your fees.

Learn more

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Funding There are three main ways to fund your postgraduate studies at Durham: 1. A full studentship. This might be one of the prestigious Durham Doctoral Studentships, a UK Research and Innovation studentship, or funding from a charitable organisation, employer, or other sponsor.

2. A financial support package. Put together a package of financial support, including scholarships, bursaries and loans.

3. Savings or family support.

We understand funding can be complex. Explore our dedicated web pages to find out more.

Learn more

Durham Doctoral Studentships Through the Durham Doctoral Studentships scheme, we fund a generous support package for outstanding doctoral research students.

This is a highly competitive scheme. If your application is successful, you’ll receive a range of benefits, including: • Payment of your tuition fees (or a contribution towards them) • An annual tax-free maintenance grant at the UK Research and Innovation national rate (£15,009 for 2019–20).

UK Research and Innovation (UKRI) funding We offer full and tuition fee-only UKRI studentships to home and EU postgraduate students, available to doctoral students across all disciplines.

We coordinate applications on behalf of the UKRI, and will provide ongoing advice and guidance if you’re awarded the studentship.

For further information on the UKRI studentships available, please visit your department’s web page.

Learn more

Scholarships We offer a range of scholarships and bursaries for current and prospective postgraduate students taking taught and research programmes. Many provide full funding for eligible students, covering both tuition fees and maintenance support.

For further information and a current list of scholarships and bursaries, see below or contact your department directly.

Learn more

Government Postgraduate Loans (England) The Government has introduced a postgraduate loan scheme for students domiciled in England or the EU, studying on Masterslevel qualifications. Under the scheme, you can apply for a loan of up to £10,906 towards your tuition fees and/or living costs. Please note, different arrangements will apply for students domiciled in Northern Ireland, Scotland, and Wales.

The UK government PhD loan scheme is now also available, offering loans of up to £25,700.

A new way to fund your taught Masters We’re committed to making postgraduate study accessible. So we’re working in collaboration with NEFirst Credit Union Ltd, which has developed a loan to provide financial assistance for postgraduate taught study. If you’re a full-time, self-financing student, you can apply for a Postgraduate Tuition Fee Loan of up to £7,000 to cover your tuition fees.

Watch the film

Learn more Living costs When you’re working out the cost of postgraduate study at Durham, you’ll need to factor in your living costs, including expenses such as accommodation, utility bills, food, clothes, insurance, transport, and entertainment.

Learn more

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Applying to Durham Are you ready to achieve something truly outstanding and join an inclusive community of extraordinary people from a huge range of different backgrounds.

We can’t wait to meet you.

Most postgraduate taught courses start in September or October. If you’re a postgraduate research student, you’ll be able to start in October, January, or April.

Take the first step – choose your course.

Find out as much as possible about the courses you’re interested in and choose the best option for you. You can find full details for all our postgraduate taught courses via our course list.

For postgraduate research degrees, explore our academic departments to find which ones have the facilities you need, as well as staff with expertise in your field of study. You’ll then need to contact the relevant department to discuss your research interests and potential funding opportunities.

Before applying, check that you meet the entry requirements for your chosen course. Some research programmes and a small number of taught programmes also have an interview requirement.

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Head online and complete your application Once you’ve chosen your course, it’s time to visit our online application portal.

Here you’ll be asked to create an account to start the application process. You’ll need to provide personal information and details of your education and existing qualifications, as well as, normally, two academic referees. As part of your application, you’ll also be asked to upload some supporting documents – check the relevant department’s web page to confirm which documents they require. Documentary evidence of your completed or current qualifications being studied will be required as a minimum.

Most postgraduate courses don’t have a formal application deadline. However, some academic departments set deadlines for specific courses, so make sure you check before you apply, especially if you’re applying for funding too.

We’ll process your application Once we’ve received your completed application, we’ll process it as quickly as possible. If you are applying for a Business School MSc programme, you will receive a notification asking you to pay an application fee before we can consider your application.

From time to time, we need further information to allow us to make a decision. If this is the case, we’ll be in touch.

We’ll let you know our decision If your application is successful, we’ll update you via your applicant portal where you will find your formal offer letter (which will also be sent to you by email). If we’re unable to make you an offer at this time, this will also be communicated to you via your applicant portal and by email.

Confirm your place If you receive an offer from us, please let us know if you’d like to accept it, as soon as possible via your applicant portal. You may be asked to pay a tuition fee deposit. If this is the case, please ensure you pay it within the requested timeframe.

The next steps…

Once you’ve accepted your offer, you can start preparing to join our inspiring community.

You’ll be allocated your college and will have the opportunity to apply for accommodation.

Learn more

If you receive a conditional offer, you’ll need to contact us to let us know when you’ve met the conditions of the offer and provide evidence.

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92%

Qualifications that inspire

of UK and EU taught and research leavers went into work or further study within fifteen months of leaving Durham (Graduate Outcomes Survey 2018/19).

83%

of our postgraduate taught students achieved a Distinction or Merit (2019/20).

83%

of our research is rated internationally excellent or world leading (3* or 4* REF 2014).

Our postgraduate qualifications can take you where you want to go

World Top

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Eight of our subjects are ranked in the World Top 50 in the QS World University Subject Rankings 2021.

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Biosciences The Department of Biosciences studies biology from the smallest to the largest scales; from the structure and function of biological molecules, through to cells, organisms and populations, to the global ecosystem.

The interests of academic staff include all types of living organisms – from bacteria, plants and animals to human health.

Interdisciplinary collaborations, such as Chemical Biology (with Chemistry), Behavioural Ecology (with Anthropology), the Biophysical Sciences Institute (with Physics), and the Institute of Hazard, Risk and Resilience (with Geography and Earth Sciences), are actively encouraged.

Our research addresses major global problems, including food security, climate change, healthy ageing and control of disease. Our academics underpin these areas with expertise in: biotic and abiotic stress; signalling and environmental adaptation; cell structure, function and development; and human health and disease.

Ranking

6th

in The Guardian University Guide 2022.

Top 10

in The Complete University Guide 2022.

8th

in the UK for world-leading research impact (REF 2014).

Departmental highlights We have two Doctoral Training programmes offering competitive studentships, one associated with the Natural Environment Research Council and the other with the Biotechnology and Biological Sciences Research Council. Our staff are extensively involved in national and international expert panels, consortia, government review panels, international commissions and other influential organisations. Our research and collaborations take place all over the world.

World-class facilities Our facilities are world-class, including extensive greenhouses, environmental control chambers, cell technology facilities, one of the best-equipped microscopy suites in the UK, facilities for next generation sequencing and proteomics, and dedicated powerful computers for bioinformatics. Postgraduates also have access to reading and computer rooms, and share a community atrium.

Careers and employment Our graduates progress into a diverse range of careers. Many take up medicine courses, while others work in the biosciences sector, the NHS or the pharmaceutical industry.

Key research areas • Agritechnology • Animal Cells and Systems • Biological Chemistry • Biomolecular Interactions • Biotechnology • Conservation Biology • Ecology, Evolution and

Environment • In vitro Animal Cell Technologies • Molecular Plant Science

Our bioscientists are tackling some of the biggest challenges that face human beings.

Course information

Course information

Plant Biotechnology and Enterprise MSc

Biosciences research degrees

Gain the fundamental knowledge and skills needed to become a scientist in plant biotechnology.

One of the principal challenges that our society faces is the need for increased agricultural productivity via improved crop protection and plant biotechnology. The number of novel crop protection and biotech products registered in the EU has been decreasing over the last 10 years. This is, in part, due to a sector covered by a reduced number of companies, a difficult legislative environment, and the lack of profesionals with skills and specific knowledge. Given the quality of the UK Plant-science research and education system, the socio-economical context and the increase in global warmingassociated natural catastrophes, there has never been a more important time to train new scientists in plant biotechnology, to underpin economic growth.

Most of the Biosciences graduates finish their degree with limited practical and experimental skills, and the practical knowledge required for translating their ideas into commercial products. In order to fulfill the curriculum gap and to improve the employability and business development know-how of home and overseas bioscientists, we have designed a postgraduate taught course in Plant Biotechnology and Enterprise.

Typical course content Core modules: • Frontiers of Plant Science • Agriculture and Biotechnology • Bioinformatics, Data Analysis (Statistics R)* • Innovation and Enterprise in Plant Biotechnology • Technology in the Biosciences • Research Project

Teaching Teaching and learning will be delivered via the use of workshops and practical classes, seminars and lectures, small group work, case studies, research project, guest industrial lecturers, self-directed and web-based learning.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK honours degree (or equivalent) to at least a 2:1 in a Biosciences equivalent degree (i.e. Biology, Natural Sciences, Agriculture). It is not necessary to have prior laboratory experience in plant sciences techniques.

Learn more

The Department of Biosciences is ranked among the top biology departments in the country and fosters an active, research driven, lively and welcoming environment for postgraduates.

Postgraduate degrees in Biosciences are supported by an excellent and well-funded research environment and by state-of-the-art services in microscopy, genomics, proteomics and environmental research. Our basic science reflects strengths in four research groupings: Ecology, Evolution and the Environment; Molecular Plant Sciences; Biomolecular Interaction; and Animal Cells and Systems. These themes underpin applications across all sectors of the bio economy, including Biotechnology, Ecology and Agricultural Technology.

Contact T: +44 (0) 191 334 5404 Email Learn more

Collaborative interactions have been developed with Chemistry, Earth Sciences, Anthropology, Psychology and Archaeology, and with University Centres and institutes, such as the Institute of Hazard, Risk and Resilience, the Energy Institute and the Biophysical Sciences Institute.

Masters by Research Masters by Research are available in Biosciences, either on specific topics as supported by individual members of the academic staff, or on more general themes within the Department (especially as aligned with the Ecology, Evolution and Environment, Molecular Plant Sciences, Biomolecular Interaction, and Animal Cells and Systems research groupings). Students should approach potential supervisors directly to develop project ideas.

Course length 1 year full-time.

PhD PhD degrees in the Biosciences Department are funded from a variety of national and international resources, including self-funding, but especially by Doctoral Training Partnerships and Centres supported by research councils (NERC and the BBSRC), other governmental programmes (e.g. the GCRF fund), Durham Doctoral Studentships and charities (e.g. the Leverhulme Trust).

The focus is on the research project and thesis, but important elements of training include workshops, placements, and presentation and writing assessments.

Course length 3–4 years full-time.

Chemistry Chemistry is a vibrant, research-led department with an international reputation for its cutting-edge science.

There are 42 research groups with around 120 PhD students and about 50 postdoctoral researchers working on projects spanning organic, physical, inorganic, bioactive and computational chemistry, through to catalysis, nanoscience and materials.

We have very close research links with many industrial partners and other universities in the UK and abroad, with leading scientists from around the world visiting and collaborating with us.

The success of our students is clear, with many of our graduates holding academic, industrial and commercial positions throughout the world.

Departmental highlight An Impact Case Study from Professor Jas Pal Badyal’s research was selected as a REF 2014 showcase study for UK Chemistry and published in Nature (one of the three examples chosen by the then Higher Education Funding Council for England from across the whole of UK Engineering and Physical Sciences).

Professor Badyal has been studying chemical reactions taking place on solid surfaces since the late 1980s. This has led to a range of patented functional surfaces, including superrepellent surfaces which have been used to make over 8 million smartphones splashproof.

Ranking

1st

in the UK for world-leading research impact (REF 2014).

4th

in The Complete University Guide 2022.

5th

in The Guardian University Guide 2022.

Professor Badyal was elected as a Fellow of the Royal Society in recognition of his ground-breaking research.

Careers and employability The Department of Chemistry promotes and supports high quality postgraduate training in all branches of chemistry.

A PhD degree in chemistry will equip you to lead research projects in academia or industry, and also opens the door to numerous other careers in the financial sector, management, patent law, government and the Civil Service, publishing and many other careers that use the transferable and critical thinking skills you will acquire.

Key research areas • Bioactive Chemistry and Synthesis • Catalysis and Sustainable Chemical Processes • Computational and Dynamics • Functional Molecules and Materials • Physical Organic and Assembly • Soft Matter and Interfaces

Develop your practical skills in modern laboratories and with state-of-the-art equipment.

Course information

Chemistry research degrees

Our world-leading research encompasses traditional and non-traditional topics of chemistry. It includes both fundamental and applied work. Many of our projects are multidisciplinary, with researchers collaborating with a broad spectrum of academics and industrialists worldwide.

The Department of Chemistry’s strong research activity is underpinned by enthusiastic and dedicated staff and students.

It is extremely well equipped, with modern research laboratories, extensive state-of-the-art instrumentation and world-class facilities.

We promote and support high quality postgraduate training in all branches of Chemistry. The Department is an exciting and friendly place to study with a lively student Chemical Society that arranges lectures, external visits and social events.

Contact T: +44 (0) 191 334 2100 Email Learn more

A postgraduate research degree in chemistry will equip you to lead research projects in academia or industry, and also opens the door to numerous other careers in the financial sector, management, patent law, government and civil service, publishing and many other careers that use the transferable and critical thinking skills you will acquire.

MSc by Research The MSc by Research degree is awarded on the basis of the preparation and examination of a thesis and an oral examination (where necessary), together with successful completion of the Department’s postgraduate training programme.

Course length 1 year full-time.

2 years part-time.

PhD in Chemistry A large majority of those beginning postgraduate study in Durham (typically around 30–35 per year) intend to work for a PhD degree.

The degree is awarded on the basis of the presentation and oral examination of a thesis. Students benefit from frequent face-toface meetings with their supervisory teams. The unexpected challenges that cutting-edge research inevitably produces can then be countered, safe in the knowledge of excellent support, allowing suitable strategies to be drawn up responsively as the work proceeds.

Formal written research reports are also reviewed periodically by an independent review team and most students will take a key role in drafting papers for publication in international, peer-reviewed journals.

Course length 3 years full-time.

6 years part-time.

We promote and support high-quality postgraduate training in all branches of chemistry.

Computer Science Our courses cover topics including data analysis, machine learning, big data, advanced algorithms, scientific computing and business analytics.

You will have access to extensive and diverse research facilities, for example a Tier-3 supercomputer, several smaller compute clusters with various architectures, a visualisation suite, GPGPU machines, and large-scale data acquisition kit (telescopes, for example).

Ranking

Top 10

in The Complete University Guide 2022.

Departmental highlight Dr Neil Hunt studied at Durham and went on to be one of the first employees at Netflix, helping it to grow from a fledgling start-up to one of the most recognisable brands in the entertainment industry. Neil was the Chief Product Officer before moving to Curai – a company aiming to use artificial intelligence to solve some of the world’s health problems. Neil returned to Durham in 2019 to receive an honorary doctorate and he is a founder member of the Department of Computer Science’s External Advisory Board.

State-of-the-art facilities We are housed in a new building jointly with the Department of Mathematical Sciences which opened in 2021, which includes student project space, open plan networking and work space, the Hazan Venture Lab (University space for all students working on enterprise and entrepreneurial activities) as well as a café and teaching spaces.

Key research areas We have internationally recognised research groups in computer science, ranging from the mathematical analysis of algorithms to the cutting edge of application. Our research groups explore, for example, computer vision, artificial intelligence, networks, bioinformatics and high-performance computing.

Careers and employability The Department has strong research links, spanning both industry and government, including work in the automotive sector with Jaguar Land Rover and Renault, in the defence and security sector with QinetiQ and Boeing in addition to working directly with the UK/US governments, and more broadly in the manufacturing sector with Procter & Gamble. We also work with tech startups covering many aspects of applied artificial intelligence and software development.

We offer postgraduate courses that are technologically leading.

Course information

Course information

Business Analytics MSc

Scientific Computing and Data Analysis MSc

Gain premium Masters-level education and training in relevant areas of contemporary business analytics in a supportive, research-led, interdisciplinary learning environment.

Modern business relies more and more on analytics for understanding and predicting customer behaviour, monitoring and optimising its processes, and managing and supporting suppliers. Understanding the use of big data for business is a key skill in today’s global market.

The MSc is designed to help you understand the role of business analytics within an organisation, and to gain insights from data through decision-making techniques, algorithms for big data, machine learning, and natural language techniques for social media analytics. This is a joint programme between the Department of Computer Science and the Business School.

Typical course content Core modules: • Introduction to Computer Science* OR • Introduction to Management* *You will be assigned to one of the above modules based on your previous background.

Followed by: • Data Analytics in Action • Learning from Data • Managing Data-Driven Innovation • Natural Language Analysis • Retail Analytics • Data Analytics for Strategic Decision-Making • Silicon Valley Field Trip**

Teaching Our strong international activities are an integral part of the course and aim to provide you with the experiential learning needed to acquire an inside perspective on operating globally. To this end, you will undertake the Silicon Valley Field Trip, an integral element of the course, providing essential experiential learning.

You will also have the opportunity to enjoy presentations by leading international academics and practitioners within your chosen area of interest. Past speakers have included representatives of major global multinationals and leading scholars, combining critical and progressive thinking with practical insights. **As the health and well-being of our students is our main priority, opportunities to travel to international locations may not be able to happen. If further or continued government restrictions necessitate, we will deliver these important global learning experiences virtually.

Gain Masters-level knowledge in scientific computing, data analysis and its application.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree or equivalent in either: business; computer science; or a related subject with a strong quantitative component.

Learn more

Assessment You will complete a Business Analytics research project, investigating a subject that you’ve already studied as part of your course. This is an opportunity for you to develop your business insight and present your analysis and ideas in a scholarly and professional manner.

“ I couldn’t have picked a better institution to challenge myself and expand my knowledge with incredible Professors, Programme Directors and University staff.”

Maddi Tagg

Advances in fields such as physics, engineering or earth sciences are increasingly being driven by those most skilled in computational techniques. Notably, people skilled to write codes for the most powerful computers in the world and to process the biggest data sets in the world make a difference. The MSc Scientific Computing and Data Analysis is intended to provide Masters-level education in computer science aspects of scientific computing (algorithms, data structures, implementation techniques and computer tool usage), in mathematical aspects of data analysis and application knowledge in the chosen specialisation domain. The course is structured into five modules and it is offered with a specialisation in one of Astrophysics, Particle Physics, Financial Technology, or Earth and Environmental Sciences.

Typical course content Core modules: • Introduction to Machine Learning and Statistics • Introduction to Scientific and High Performance Computing • Professional Skills (software and project management, science communication and entrepreneurial thinking) • Project.

Examples of optional modules: • Foundations and Unsupervised Learning • Regression and Classification • High Performance Computing and Advanced Algorithms • Simulation of Discrete and Continuous Systems • Particle Physics • Astrophysics • Financial Technology.

Teaching The MSc uses a wide range of learning and teaching methods, including lectures, practical classes/computer labs, independent study, research and analysis, a project (dissertation) and coursework. You will also complete group and individual presentations.

You will also be given the opportunity to work with a wide variety of computer kit and software, including: systems such as GPGPU/heterogeneous architectures; HPC systems with specialist software installations (such as performance analysis tools); GPU-based AI kit, and data acquisition tools.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree (BSc) or equivalent in: • Physics or a subject with basic physics courses OR • Computer Science OR • Mathematics OR • Any natural science with a strong quantitative element • Profound programming knowledge in both Python and C. Learn more

Assessment Assessment is by coursework, presentation and a dissertation.

“ I really appreciated the flexibility of the degree.

It enabled me to study my particular interests (scientific computing) in a greater depth than would otherwise have been possible.”

Student from 19/20 cohort

Course information

Course information

Scientific Computing and Data Analysis (Astrophysics) MSc

Scientific Computing and Data Analysis (Earth and Environmental Sciences) MSc

Address some of the biggest research questions in fundamental science.

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage) • Mathematical aspects of data analysis • Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, financial technology, or earth and environmental sciences).

MISCADA’s Astrophysics specialisation aims to equip students with the background needed to address some of the biggest research questions in fundamental science, such as how we can use large surveys and supercomputer simulations to probe the nature of the dark matter and dark energy. The courses include stellar structure and evolution, galaxy formation, large-scale structure and simulations of structure formation.

Typical course content Core modules: • Introduction to Machine Learning and Statistics • Introduction to Scientific and High Performance Computing • Professional Skills (software and project management, science communication and entrepreneurial thinking) • Project.

Examples of optional modules: • Foundations and Unsupervised Learning • Regression and Classification • High Performance Computing and Advanced Algorithms • Simulation of Discrete and Continuous Systems • Particle Physics • Astrophysics • Financial Technology..

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree (BSc) or equivalent in: • Physics or a subject with basic physics courses OR • Computer Science OR • Mathematics OR • Any natural science with a strong quantitative element • Profound programming knowledge in both Python and C. Learn more Teaching The MSc uses a wide range of learning and teaching methods, including lectures, practical classes/computer labs, independent study, research and analysis, a project (dissertation) and coursework.

You will also complete group and individual presentations.

You will also be given the opportunity to work with a wide variety of computer kit and software, including: systems such as GPGPU/heterogeneous architectures; HPC systems with specialist software installations (such as performance analysis tools); GPU-based AI kit, and data acquisition tools.

Assessment Assessment is by coursework, presentation and a dissertation.

Become an expert in computational techniques.

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage) • Mathematical aspects of data analysis • Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, or financial technology).

Through MISCADA’s Earth & Environment domain specialisation, we seek to provide the advanced knowledge of how to use sophisticated datasets and tools to tackle cutting-edge and societally-relevant problems relating to the Earth’s environment and management of its scarce resources. We introduce a variety of Earth and Environmental datasets, as well as to the specialist mathematical and software tools required for their quantitative and computational analysis.

Typical course content Core modules: • Introduction to Machine Learning and Statistics • Introduction to Scientific and High Performance Computing • Professional Skills (software and project management, science communication and entrepreneurial thinking) • Project.

Examples of optional modules: • Foundations and Unsupervised Learning • Regression and Classification • High Performance Computing and Advanced Algorithms • Simulation of Discrete and Continuous Systems • Particle Physics • Astrophysics • Financial Technology.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree (BSc) or equivalent in: • Physics or a subject with basic physics courses OR • Computer Science OR • Mathematics OR • Any natural science with a strong quantitative element • Profound programming knowledge in both Python and C. Learn more Teaching The MSc uses a wide range of learning and teaching methods, including lectures, practical classes/computer labs, independent study, research and analysis, a project (dissertation) and coursework. You will also complete group and individual presentations.

You will also be given the opportunity to work with a wide variety of computer kit and software, including: systems such as GPGPU/heterogeneous architectures; HPC systems with specialist software installations (such as performance analysis tools); GPU-based AI kit, and data acquisition tools.

Assessment Assessment is by coursework, presentation and a dissertation.

Course information

Course information

Scientific Computing and Data Analysis (Financial Technology) MSc

Scientific Computing and Data Analysis (Particle Physics) MSc

Gain an understanding of the mathematical principles behind modern financial markets, and elements of programming and communication in the context of the financial industry.

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage) • Mathematical aspects of data analysis • Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, financial technology, or earth and environmental sciences).

Through MISCADA’s FinTech specialisation, students will be introduced to the mathematical principles behind modern financial markets, and elements of programming and communication in the context of the financial industry. Financial technology draws on tools from probability theory, statistics, partial differential equations, and scientific computing, and is widely used in investment banks, hedge funds, insurance companies, corporate treasuries, and regulatory agencies to solve such problems as derivative pricing, portfolio selection, and risk management.

Typical course content Core modules: • Introduction to Machine Learning and Statistics • Introduction to Scientific and High Performance Computing • Professional Skills (software and project management, science communication and entrepreneurial thinking) • Project.

Examples of optional modules: • Foundations and Unsupervised Learning • Regression and Classification • High Performance Computing and Advanced Algorithms • Simulation of Discrete and Continuous Systems • Particle Physics • Astrophysics • Financial Technology.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree (BSc) or equivalent in: • Physics or a subject with basic physics courses OR • Computer Science OR • Mathematics OR • Any natural science with a strong quantitative element • Profound programming knowledge in both Python and C. Learn more Teaching The MSc uses a wide range of learning and teaching methods, including lectures, practical classes/computer labs, independent study, research and analysis, a project (dissertation) and coursework. You will also complete group and individual presentations.

You will also be given the opportunity to work with a wide variety of computer kit and software, including: systems such as GPGPU/heterogeneous architectures; HPC systems with specialist software installations (such as performance analysis tools); GPU-based AI kit, and data acquisition tools.

Assessment Assessment is by coursework, presentation and a dissertation.

Learn about the ideas and concepts underlying particle theory at the forefront of current research.

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage) • Mathematical aspects of data analysis • Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, financial technology, or earth and environmental sciences).

In the particle physics specialisation the students will be exposed to the ideas and concepts underlying particle theory at the forefront of current research. Lectures will be presented by academics from the Institute for Particle Physics Phenomenology (IPPP). These lectures are part of the existing Master of Science in “Particles, Strings, and Cosmology” by the Durham Centre for Particle Theory and are taken by all PhD students of the IPPP.

Typical course content Core modules: • Introduction to Machine Learning and Statistics • Introduction to Scientific and High Performance Computing • Professional Skills (software and project management, science communication and entrepreneurial thinking) • Project.

Examples of optional modules: • Foundations and Unsupervised Learning • Regression and Classification • High Performance Computing and Advanced Algorithms • Simulation of Discrete and Continuous Systems • Particle Physics • Astrophysics • Financial Technology.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree (BSc) or equivalent in: • Physics or a subject with basic physics courses OR • Computer Science OR • Mathematics OR • Any natural science with a strong quantitative element • Profound programming knowledge in both Python and C. Learn more Teaching The MSc uses a wide range of learning and teaching methods, including lectures, practical classes/computer labs, independent study, research and analysis, a project (dissertation) and coursework. You will also complete group and individual presentations.

You will also be given the opportunity to work with a wide variety of computer kit and software, including: systems such as GPGPU/heterogeneous architectures; HPC systems with specialist software installations (such as performance analysis tools); GPU-based AI kit, and data acquisition tools.

Assessment Assessment is by coursework, presentation and a dissertation.

Course information

Computer Science research degrees

Durham has state-of-the-art study spaces and research facilities, supporting the important work of its internationally recognised research groups.

Durham offers the opportunity to work with leading academic staff in state-of-the-art world-class facilities.

We have internationally recognised research groups in computer science, ranging from the mathematical analysis of algorithms to the cutting edge of application. Our research groups explore, for example, computer vision, artificial intelligence, networks, bioinformatics and high-performance computing. This gives you a much sought-after, rigorous, analytical and applied approach, with the opportunity to study cutting-edge concepts taught by leading experts in the field.

Contact T: +44 (0) 191 334 2526 Email Learn more

MSc by Research Computing Science

Course length 1 year full-time.

2 years part-time.

PhD in Computing Science

Course length 3 years full-time.

6 years part-time.

“ Doing a PhD in Durham has taught me many valuable skills from a variety of different disciplines, including how to interact with robotics and valuable teaching skills while demonstrating for undergraduate modules.”

Will Prew

Contribute to a range of exciting projects at the cutting-edge of current research.

Earth Sciences The Earth Sciences Department conducts internationally leading research across a wide range of earth science disciplines.

The Department’s research is organised into four research themes: Climate and Environmental Change; Geoenergy, Resources and Waste; Geohazards; and The Solid Earth. We are supported by major research centres, including the Durham Geochemistry Centre, the Centre for Resources and Earth Energy Systems, the Durham Energy Institute, and the Institute of Hazard, Risk and Resilience.

Ranking

The Department has approximately 80 full–time research students, who come from around the world. All postgraduate students are supervised by at least two members of academic staff, who are recognised experts in their field. Most postgraduates are members of a thematic research group, with active links to other research institutions and external sponsors.

4th

Departmental highlights Giacomo Pozzi, a PhD student in the Department has recently received an Outstanding Student Presentation Award at the American Geographical Union (AGU) fall meeting in Washington, USA. This was for his work on Viscous flow of nano–granular materials and how this lubricates faults during earthquake propagation.

Key research areas • Environmental Geosciences and Climate Change • Geochemistry, Geochronology, Volcanology and Petrology • Geodynamics and Geophysics

• Geo–energy, Petroleum Geosciences, Hydrogeology and Carbon Capture and Storage • Sedimentology, Stratigraphy and Basin Analysis • Tectonics, Structural Geology and Geomechanics

Careers and employability Graduates of the Department of Earth Sciences find careers in a variety of industries and functions, including as geologists, geoscientists, researchers, environmental consultants, and analysts.

Joint 7th

in the UK for internationally excellent and world–leading research impact (REF 2014).

in The Guardian University Guide 2022.

World Top 50

in the QS World University Subject Rankings 2021.

We offer state–of–the–art facilities in purpose–built accommodation.

Course information

Course information

Scientific Computing and Data Analysis (Earth and Environmental Sciences) MSc

Earth Sciences research degrees

Become an expert in computational techniques.

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage) • Mathematical aspects of data analysis • Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, or financial technology).

Through MISCADA’s Earth & Environment domain specialisation, we seek to provide the advanced knowledge of how to use sophisticated datasets and tools to tackle cutting-edge and societally-relevant problems relating to the Earth’s environment and management of its scarce resources. We introduce a variety of Earth and Environmental datasets, as well as to the specialist mathematical and software tools required for their quantitative and computational analysis.

Typical course content Core modules: • Introduction to Machine Learning and Statistics • Introduction to Scientific and High Performance Computing • Professional Skills (software and project management, science communication and entrepreneurial thinking) • Project.

Examples of optional modules: • Foundations and Unsupervised Learning • Regression and Classification • High Performance Computing and Advanced Algorithms • Simulation of Discrete and Continuous Systems • Particle Physics • Astrophysics • Financial Technology.

The MSc Scientific Computing and Data Analysis courses are interdisciplinary programmes involving departments across the Faculty of Science and managed by the Department of Computer Science.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree (BSc) or equivalent in: • Physics or a subject with basic physics courses OR • Computer Science OR • Mathematics OR • Any natural science with a strong quantitative element • Profound programming knowledge in both Python and C. Learn more Teaching The MSc uses a wide range of learning and teaching methods, including lectures, practical classes/computer labs, independent study, research and analysis, a project (dissertation) and coursework. You will also complete group and individual presentations.

You will also be given the opportunity to work with a wide variety of computer kit and software, including: systems such as GPGPU/heterogeneous architectures; HPC systems with specialist software installations (such as performance analysis tools); GPU-based AI kit, and data acquisition tools.

Assessment Assessment is by coursework, presentation and a dissertation.

Research involves the full breadth of the Earth Sciences. The Department is housed in the state–of–the–art Arthur Holmes building, with purpose-built laboratories and teaching facilities.

MSc by Research in Computational Geoscience Computational skills are in demand in HPC models, big data, and artificial intelligence. This MSc applies tools, techniques and models across seismology and seismic hazards, plate tectonics, renewable energy and environmental research, and planetary science.

Contact T: +44 (0) 191 334 2198 Email Learn more

MSc by Research in Earth Sciences This MSc offers the opportunity for a year of research across all sub disciplines including geology, palaeontology, geophysics, structural geology, environmental geoscience and applied geosciences.

Course length 1 year full–time.

2 years part–time.

MSc by Research in Geoenergy This MSc offers training for a low–carbon economy. Themes include petroleum, unconventional hydrocarbons, geothermal, clean coal, resources from waste, carbon capture and storage, water and mineral resources. It is unique in offering a research focus with some taught and training components supported by the Durham Energy Institute (DEI).

MSc by Research in Volcanology This broad and exciting science encompasses field studies, geophysics, geochemistry, experimental studies, numerical and computational modelling, and hazard and risk mitigation. The MSc offers research opportunities, working alongside world–leaders.

MPhil in Geological Sciences or Geophysics Learn new research skills and specialist Earth science knowledge.

The MPhil involves carrying out an original piece of research and is examined on the basis of a dissertation.

Course length 2 years full–time.

4 years part–time.

PhD in Geological Sciences, Geology or Geophysics Topics span climate and environmental science, solid earth science, geochemistry, petroleum geology, geophysics, structural geology, volcanology, palaeontology and geodynamics. Most students apply to do a specific research project but you could suggest your own in consultation with supervisors. Some projects are eligible for NERC funding and are awarded through the Iapetus DTP2 programme.

Course length 3 years full–time.

6 years part–time.

Engineering The Department of Engineering offers postgraduate courses that are challenging and technologically relevant.

Durham engineering postgraduates, both taught and research, will be making a vital contribution to our challenge areas: future energy systems; next generation materials and microsystems; and sustainable infrastructure. A broad range of specialist research clusters support our activities in these areas. You will also have access to extensive and diverse research facilities to support your learning.

Departmental highlights We are very pleased to be partners in two new Centres for Doctoral Training (CDTs), which both admitted their first of five annual PhD student cohorts in October 2019. The £5.5 million Aura CDT, which focuses on the environmental integration of offshore wind farms and the low carbon economy, will train over 70 PhD students in total. The £11 million ReNU CDT will train 65 PhD students in engineering and in the pure sciences, equipping them with the skills needed to develop the next generation of materials for small–to–medium scale (<50 MW) energy supply from renewable sources. These CDTs will make a substantial contribution to postgraduate research and training at Durham University and to the UK’s research in renewable energy over the next decade.

Ranking

Joint 1st

in the UK for internationally excellent and world-leading research impact (REF 2014)

5th

in The Complete University Guide 2022.

5th

in The Guardian University Guide 2022.

6th

in The Times and Sunday Times Good University Guide 2022.

Institution of Engineering and Technology (IET) Academic Partnership This scheme provides a formal platform for engagement, ensuring that our students get maximum benefit from the IET. Academic Partners provide our students with a range of innovative products and services. Gaining Academic Partner status gives us the opportunity to employ this active and inspiring portfolio, providing an energetic and lively interaction between the IET and the University.

Careers and employability We have strong links with industrial partners. Graduates have become successful engineers in civil, mechanical, electronic, electrical, manufacturing, design, aeronautics and systems engineering. They work as consultants, technology analysts, and software developers and as entrepreneurs, also gaining prestigious positions in banking and finance.

Key research areas • Advanced Materials, Electronics and Communications • Future Energy Systems • Sustainable Infrastructure

We are recognised as one of the leading centres of research in engineering in the world.

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Course information

Advanced Mechanical Engineering MSc

Civil Engineering MSc

Gain an advanced knowledge of mechanical engineering and benefit from a range of staff expertise.

This course will provide graduates with an advanced knowledge and understanding of mechanical engineering in three ways.

First, high–quality taught modules will introduce advanced mechanical engineering topics, such as turbomachinery design, computational stress analysis, plates and shells, contact and friction. Second, a substantial group design element will equip you with the ability to carry out advanced design in multinational teams using appropriate design standards and sophisticated engineering analysis tools. Finally, a major research and development project allows you to demonstrate the ability to work independently on a complex topic and demonstrate initiative in solving engineering challenges.

Durham University has many researchers tackling problems relevant to industry and society. These are organised into three research challenges: sustainable infrastructure, future energy systems, and next generation materials and microsystems. These broad interdisciplinary challenges will form the topics of many of the substantial projects that you will undertake. Durham students are uniquely placed to take advantage of a broad range of expertise in a general engineering department.

Typical course content Core modules: • Research and Development Project • Group Design Project • Fluid Mechanics • Future Vehicles • Non-Linear Solid Mechanics • Renewable Energy Technologies

• Turbomachinery and Propulsion.

Examples of optional modules: • Internet of Everything • Optimisation • Environmental Engineering.

Course fact file Course length 1 year full-time.

Typical entry requirements A 2:1 UK Honours degree or equivalent. This should normally be in an appropriate engineering or engineering– related subject including modules in applied mechanics, thermodynamics, fluid mechanics and mathematics for engineers and scientists.

This course is under review and may change. Please check our website for more details/any updates.

Learn more

A Civil Engineering degree prepares you for work in construction as well as in the business, management and financial sectors.

For individuals who enjoy variety and possess both inventive and practical skills, Civil Engineering can be a rewarding professional path. This course will provide graduates with an advanced knowledge and understanding of civil engineering in three ways. First, high–quality taught modules will introduce advanced civil engineering topics such as structural design and highways engineering. Second, a substantial civil design element will equip you with the ability to carry out structural design using appropriate design standards and numerical analysis tools. Finally, a major research and development project allows you to demonstrate the ability to work independently on a complex topic and demonstrate initiative in solving engineering challenges.

Durham University has many researchers tackling the challenge of ensuring sustainability and resilience of the infrastructure that underpins our society and economy. This sustainable infrastructure will form the topic of many of the substantial projects that you will undertake. Durham students are uniquely placed to take advantage of a broad range of expertise in a general engineering department.

Typical course content Core modules: • Research and Development Project • Civil Design Project • Hydrology and Water Resources • Planning and Contract Law • Structural Design • Structures

• Advanced Geotechnical Engineering Examples of optional modules: • Optimisation • Transportation Infrastructure Engineering • Environmental Engineering

Teaching The modules include lectures, laboratory experiments, and a group design project.

Teaching The modules include lecture courses, laboratory experiments, a group design project.

Assessment Assessment includes a major individual research and development project, a poster presentation and an oral exam.

Assessment Assessment includes a major individual research and development project, a poster presentation and an oral exam.

Course fact file Course length 1 year full-time.

Typical entry requirements A 2:1 UK Honours degree or equivalent. This should normally be in an appropriate engineering or engineering– related subject including modules in geotechnics, mechanics and mathematics for engineers and scientists.

This course is under review and may change. Please check our website for more details/any updates.

Learn more

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Course information

Electronic and Electrical Engineering MSc

Master of Energy Systems Management

Gain an advanced knowledge in the main areas of electronic and electrical engineering.

This course aims to educate you in the key engineering aspects of electronic and electrical engineering, enabling you to undertake responsible, creative, challenging and stimulating posts in industry or research.

The course covers the key areas of electronic and electrical engineering. In addition to the technical background provided in these subjects, you will gain hands–on experience through a major individual research and development project, a group design project and a supporting laboratory programme.

Typical course content Core taught content (List A): • Renewable Energy Technologies • Future Vehicles • Electrical Energy Conversion • Power Electronics • Smart Energy Networks.

(List B): • Radio and Digital Communications • Advanced Electronics Measurement • Communication Networks • Advanced Electronics • Photonics Examples of optional modules: • Internet of Everything • Optimisation

Teaching The course consists of a group design module, an individual research and development project, and six taught modules, chosen from either List A or List B above.

Assessment Assessment includes a major individual research and development project, a poster presentation and an oral exam.

Course fact file Course length 1 year full-time.

Typical entry requirements A good UK 2:1 degree or better or equivalent in a subject that includes significant electronic or electrical engineering content.

This course is under review and may change. Please check our website for more details/any updates.

Learn more

Gain the skills to play a pivotal role in the Net-Zero energy revolution.

This new bespoke full-time Master of Energy Systems Management brings together the essential elements to equip and enable students from all backgrounds to become leaders in this field. You will be taught a combination of skills and competencies from a wide range of disciplines, providing you with a unique understanding of the multidisciplinary abilities needed to effectively contribute to Net-Zero.

This programme is delivered in collaboration between Durham University Business School and the Department of Engineering, in conjunction with our world-class Durham Energy Institute.

You will be immersed in both business management and the underpinning technologies of energy conversion. Introductory modules are designed to bring students with non-technical degrees up to speed with the necessary background. The programme will feature specifically designed core modules which will cover a range of business and engineering subjects, from technology fundamentals, to advanced contemporary responses, to Net-Zero solutions. A range of optional modules underpinning the core content will allow you to focus on your area of interest Typical course content Core modules: • Decarbonisation of Heating and Cooling • Future Vehicles • Renewable Energy Technologies • Global Energy Management • Whole Energy Systems • Energy Regulation, Financing and Markets • Careers and Professional Skills Development

• Strategic Business and Engineering Project Examples of optional modules: • Language Modules • Internet of Everything for Energy • Systems Management • Society, Energy, Environment and Resilience.

Strategic Business and Engineering Project You will undertake a Strategic Business and Engineering Project, a major piece of independent work involving an in-depth investigation of a specific topic or issue. You will be supported by an appointed supervisor throughout.

Course fact file Course length 1 year full-time Typical entry requirements A UK first or upper secondclass honours degree or equivalent in either: business, engineering or a related subject.

All candidates will require qualifications with a strong quantitative component with the equivalent of an ‘A’ grade at A level maths being the minimum standard .

Learn more Business Connections The programme has strong links to industry, from our practice-based content, to a range of exciting guest speakers and real-world case studies. There are many additional opportunities throughout the year for you to engage with organisations and alumni to further enhance your knowledge and skills and grow your network.

Course information

Course information

New and Renewable Energy MSc

Engineering research degrees

Gain the skills required for the application of new and renewable energy technologies.

The MSc New and Renewable Energy is designed to equip you with the skills required to meet the growing challenge to achieve energy and environmental sustainability through the application of new and renewable energy technologies.

The course will enable you to develop the capacity to solve problems across the traditional engineering boundaries and to have an appreciation of complete energy systems from source to end user, to have knowledge of the relevant technologies and to understand the interactions between them. It also provides you with the opportunity to develop skills in research, development, design and project management through individual and team– based project work.

Typical course content Core modules: • Research and Development Project • Group Design Project • Future Vehicles • Renewable Energy Technologies • Smart Energy Networks • Decarbonisation of Heating and Cooling • Electrical Energy Conversion.

Examples of optional modules: • Internet of Everything • Optimisation • Environmental Engineering.

Teaching The modules include lecture courses, laboratory experiments and a group design project.

Assessment Assessment includes a major individual research and development project, a poster presentation and an oral exam.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK 2:1 or equivalent. This should normally be in an appropriate engineering or engineering–related subject including modules in electrical engineering and/or thermodynamics.

This course is under review and may change. Please check our website for more details/any updates.

Learn more

“ I learnt about current advancements and challenges of wind energy technologies.

It’s interesting when your research can recommend solutions to issues facing the wind energy industry.”

Kushal Gautam

We provide the opportunity to explore important and cutting-edge research projects, ranging from applied research in collaboration with major engineering companies across the world, improving the products or processes of today, to fundamental engineering science concepts that will open up new pathways of discovery.

We welcome applicants who are interested in developing their own MSc/PhD thesis on any aspect of Engineering within our research challenges that our wide range of academic staff are available to supervise.

Applicants are encouraged to review our Department research web pages and identify a suitable member of academic staff to supervise their research before applying.

Contact T: +44 (0) 191 334 2471 Email Learn more

MSc by Research in Engineering This programme differs from the taught Masters courses as the emphasis is on research. The MSc by Research in Engineering may serve as preparation for further postgraduate study towards a PhD or can be a standalone qualification showing advanced skills in research and deeper knowledge of the area of Engineering studied.

The students will define the field of study and the specific research topic with the academic supervisor, giving them the opportunity to focus on the area they are most interested in.

Course length 1 year full–time 2 years part-time.

PhD Our PhD course is a programme with a higher degree of research independence supervised by academic staff who are internationally recognised experts in their fields. We have three main research challenge areas: future energy systems, next generation materials & microsystems, and sustainable infrastructure. We will guide your training and research direction throughout the duration of the programme toward the ultimate goal of producing an externally defensible thesis. In addition to personalised one-on-one tutelage from their supervision teams, postgraduate students in the Department can expect a wide range of training opportunities.

In particular, the close connection between the Engineering Department and the Research Institutes of the University, as well as the many active associated Centres for Doctoral Training which provide postgraduate students with several avenues for technical and personal development. Our research also has a structure that evolves in relation to the changing directions in the discipline and societal needs.

Course length 3.5 years full-time.

6 years part-time.

Mathematical Sciences We offer a distinct blend of high-quality teaching and research along with excellent facilities and a stimulating environment for your studies.

Whichever degree you choose, you will benefit from researchled education by experts in a wide variety of fields across pure mathematics, applied mathematics, statistics and probability.

Ranking

The Department of Mathematical Sciences has excellent facilities for postgraduate studies. All research students have their own workspace with a network-linked computer. We also offer a research seminar series, in which you can actively participate.

in the UK for internationally excellent and world-leading research impact (REF 2014).

We are housed in a new building, jointly with the Department of Computer Science, which opened in 2021, and includes student project space, open plan networking and work space, the Hazan Venture Lab (University space for all students working on enterprise and entrepreneurial activities) as well as a café and teaching spaces.

International conferences Each year, several high-level conferences and workshops in Mathematical Sciences are held in Durham, including the Durham Symposia (a prestigious series of high-quality international research conferences), and you are also given the opportunity to present your research results at conferences elsewhere.

Training and development The Department is part of MAGIC, a consortium of 21 universities offering distance learning for postgraduate students via interactive access-grid technology. The Department is also a member of the Academy for PhD Training in Statistics (APTS), giving you access to high-quality training courses, covering key areas of statistics and probability.

Key research areas • Computational and Applied Mathematics • Pure Mathematics • Statistics and Probability • Theoretical Particle Physics

Careers and employability Previous graduates have progressed to work as research scientists, teachers, statisticians, operational researchers, investment analysts, actuaries, insurance analysts and accountants, for numerous academic institutions and for leaders in their sector.

Joint 1st 6th

in The Times and Sunday Times Good University Guide 2022.

7th

in The Complete University Guide 2022.

Top 10

in The Guardian University Guide 2022.

Choose from a wide spectrum across pure mathematics, applied mathematics, statistics and probability.

Course information

Course information

Mathematical Sciences MSc

Particles, Strings and Cosmology MSc

This course is a gateway to a variety of careers in the public and private sectors, and a natural pathway to a PhD in an area of mathematics.

This course aims to bring you, in 12 months, up to a position where you can embark with confidence on a wide range of careers, including taking a PhD in Mathematics or related disciplines. There is a wide range of taught modules on offer, and you will also produce a dissertation on a topic of current research interest, taken from your choice of a wide range of subjects offered.

Course fact file Course length 1 year full-time.

Typical entry requirements A 2:1 undergraduate degree or equivalent in a relevant subject.

The aim of this course is to bring you, in 12 months, up to the frontier of elementary particle theory.

The MSc is intended for students who have already obtained a good first degree in either physics or mathematics, including in the latter case courses in quantum mechanics and relativity.

Typical course content • Elementary Particle Theory • Dissertation.

Learn more Typical course content Examples of optional modules in Pure Mathematics: • Algebraic Topology • Analysis • Codes and Cryptography • Differential Geometry • Galois Theory • Mathematical Dynamics • Number Theory • Representation Theory • Riemannian Geometry • Topics in Algebra and Geometry • Topology.

Examples of optional modules in Probability and Statistics: • Bayesian Statistics • Decision Theory

• Mathematical Finance • Operations Research • Statistical Methods • Stochastic Processes.

Examples of optional modules in Applications of Mathematics: • Advanced Quantum Theory • Fluid Mechanics • Dynamical Systems • General Relativity • Mathematical Biology • Partial Differential Equations • Quantum Information • Quantum Mechanics • Solitons • Statistical Mechanics • Topics in Applied Mathematics.

Examples of optional modules: • Introductory Field Theory • Quantum Field Theory • Quantum Electrodynamics and Supersymmetry • General Relativity • Cosmology • Neutrinos and Astroparticle Physics

• Group Theory • Standard Model • Renormalisation Group • Amplitudes and Non-Perturbative Physics • Conformal Field Theory and Strings and D-branes • Strong Interactions • Higgs Phenomenology • Flavour Physics and Effective Field Theories.

Teaching The course follows a programme of lectures. The lectures begin with a general survey of particle physics and introductory courses on quantum field theory and group theory. These lead on to more specialised topics, including string theory, cosmology, supersymmetry and more detailed aspects of the standard model.

Teaching The course consists of six taught modules covering a variety of topics in pure and applied mathematics and statistics, and a dissertation on a topic of current research, prepared under the guidance of a supervisor with expertise in the area. We offer a wide variety of possible dissertation topics.

Assessment Assessment is by assignment and dissertation.

Assessment Assessment is by examination and dissertation.

Course fact file Course length 1 year full-time.

Typical entry requirements A 2:1 undergraduate degree in either physics or mathematics.

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“ I had the opportunity to work with a world renowned researcher in the topic. The course met my interests well and had potential for PhD studies (which I am now about to start).”

Richie Dadhey

Course information

Course information

Scientific Computing and Data Analysis (Financial Technology) MSc

Mathematical Sciences research degrees

Gain an understanding of the mathematical principles behind modern financial markets, and elements of programming and communication in the context of the financial industry.

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage) • Mathematical aspects of data analysis • Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, financial technology, or earth and environmental sciences).

Through MISCADA’s FinTech specialisation, students will be introduced to the mathematical principles behind modern financial markets, and elements of programming and communication in the context of the financial industry. Financial technology draws on tools from probability theory, statistics, partial differential equations, and scientific computing, and is widely used in investment banks, hedge funds, insurance companies, corporate treasuries, and regulatory agencies to solve such problems as derivative pricing, portfolio selection, and risk management.

Typical course content Core modules: • Introduction to Machine Learning and Statistics • Introduction to Scientific and High Performance Computing • Professional Skills (software and project management, science communication and entrepreneurial thinking) • Project.

Examples of optional modules: • Foundations and Unsupervised Learning • Regression and Classification • High Performance Computing and Advanced Algorithms • Simulation of Discrete and Continuous Systems • Particle Physics • Astrophysics • Financial Technology.

The MSc Scientific Computing and Data Analysis courses are interdisciplinary programmes involving departments across the Faculty of Science and managed by the Department of Computer Science.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree (BSc) or equivalent in: • Physics or a subject with basic physics courses OR • Computer Science OR • Mathematics OR • Any natural science with a strong quantitative element • Profound programming knowledge in both Python and C.

The Department of Mathematical Sciences is one of the leading research units in the country, with interests in a wide range of areas in pure mathematics, applied mathematics, mathematical and theoretical physics, as well as statistics and probability.

One measure of the vibrancy of our research is the number of postgraduate students we attract. There are about 50 at all times within the Department.

Contact T: +44 (0) 191 334 3082 Email Learn more

MSc by Research The course length for an MSc by Research is normally one year (if full-time) although you should perhaps allow some extra time for completing the writing up of your thesis. You will undertake a course of study and research under the guidance of your supervisor. When this is complete you will write and submit a thesis (and, possibly, undergo a viva voce examination). The thesis may be entirely expository.

Course length 1 year full-time.

2 years part-time.

PhD The degree is awarded on successful completion of a thesis based on original research carried out over a period of between three and four years, depending on the subject area, under the guidance of your supervisor.

Course length 3/4 years full-time.

6/8 years part-time.

Learn more Teaching The MSc uses a wide range of learning and teaching methods, including lectures, practical classes/computer labs, independent study, research and analysis, a project (dissertation) and coursework. You will also complete group and individual presentations.

You will also be given the opportunity to work with a wide variety of computer kit and software, including: systems such as GPGPU/heterogeneous architectures; HPC systems with specialist software installations (such as performance analysis tools); GPU-based AI kit, and data acquisition tools.

Assessment Assessment is by coursework, presentation and a dissertation.

Most of the first year is usually spent deepening your knowledge by attending courses and seminars and by reading books and papers. Students belonging to the Centre for Particle Theory (CPT) will normally follow CPT lecture courses in their first year.

Please note that applicants will be allocated two supervisors. For the majority of people this will be decided upon offer, however for the CPT group the supervisory team will be assigned after the lecture courses have got underway, by mutual agreement between staff and students.

Natural Sciences Natural Sciences is the Faculty of Science “Department” that facilitates multidisciplinary and interdisciplinary degrees.

All around us, massive amounts of increasingly complex data are being generated and collected and business, research, government, communities, and families can use that data to make informed and rational decisions that lead to better outcomes. Data science enables us to analyse large amounts of data effectively and efficiently and as a result has become one of the fastest growing career areas.

Ranking

Top 100

in the QS World University Rankings by Subject 2021.

The suite of Master of Data Science degrees are conversion courses with a hard-core of data science, intended to provide Masters-level education rich in the substance of data science for students who hold a first degree that is not highly quantitative, including those in social sciences, the arts and humanities. We assume a willingness to learn the relevant core skills in Data Science (R, Python, Statistics and Mathematics) but we do not assume a background of these skills.

Six Master of Data Science degrees are on offer, the broad Master of Data Science and specialist programmes in Biosciences, Digital Humanities, Earth Sciences, Health and Social Analytics.

Natural Sciences is a specialist “Teaching” Department that has many decades of experience of supporting delivery of taught degrees from Departments across the University. Departments currently contributing modules to the Master of Data Science degrees include Business, Computer Science, Mathematics and Philosophy with other departments in Science and Social Sciences also contributing their specialisms. Most of the members of staff contributing to modules are part of the University’s Institute of Data Science which is a multidisciplinary platform for new ideas in Data Science, cutting across the silos of subject-specific knowledge and aiming to transform our view of the world surrounding us – nature, society, and culture.

Careers and employability Our graduates are highly valued by employers and progress into a diverse range of careers and sectors.

“The MDS programmes teach students the core principles of data science, and gives them the opportunity to further their knowledge within an area of specialization or data science more broadly.”

Professor Camila Caiado

Learn to analyse large amounts of data effectively and efficiently.

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Master of Data Science MDS

Master of Data Science (Bioinformatics and Biological Modelling) MDS

Develop an advanced and systematic understanding of the complexity of data.

The Master of Data Science is a conversion course with a hard-core of data science, intended to provide Masters-level education rich in the substance of data science for students who hold a first degree that is not highly quantitative, including those in social sciences, the arts and humanities.

The advent of new techniques and increases in computing power mean that it is now viable for non-experts to learn how to access, clean, analyse, and visualize complex data. There is a growing opportunity for those in possession of knowledge about a particular subject or discipline, and who are therefore able to grasp the full meaning and significance of data in their area, to be able to undertake data analysis intelligently themselves. The combination of primary domain knowledge with an expertise in extracting relevant information from data will give those with this ‘double-threat’ a significant employment advantage.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or upper second class Honours degree or equivalent in a degree that excludes Mathematics and Physics and Computer Science.

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• Strategic Leadership • Introduction to Mathematics for Data Science • Research Project.

Examples of optional modules: • Text Mining and Language Analytics • Data Exploration, Visualization, and Unsupervised Learning.

Assessment The MDS culminates in a major research project, conducted and written up as an independent piece of work with support from your appointed supervisor.

The Master of Data Science (Bioinformatics and Biological Modelling) is a conversion course with a hard-core of data science, intended to provide Masters-level education rich in the substance of data science for students to gain quantitative skills in bioinformatics and modelling in molecular biology. It shares a common core with other Master of Data Science programmes.

In addition to the Data Science core, students also take a core module named “Bioinformatics”. There is also an optional module available, which is named “Modelling in Molecular Biology”. The Bioinformatics module explores quantitative tools and methods used to work with biological data, and the Modelling in Molecular Biology module provides quantitative modelling tools and methods for exploring metabolic and signalling networks in molecular biology.

The course allows for progressive deepening in your knowledge and understanding, culminating in the research project which is an in-depth investigation of a specific topic or issue where you will apply the skills you have learned from your Data Science modules to a research problem in Biosciences.

The course allows for progressive deepening in your knowledge and understanding, culminating in the research project which is an in-depth investigation of a specific topic or issue. The global dimension is reinforced through the use of international examples and case studies where appropriate.

Typical course content Core module: • Introduction to Computer Science • Introduction to Statistics for Data Science • Ethics and Bias in Data Analytics • Machine Learning • Programming for Data Science

Gain quantitative skills in bioinformatics and modelling in molecular biology.

Teaching The Master of Data Science is research-orientated. You will be encouraged, through a range of modules, to develop research methods, skills and ethics reflecting the wide range of methods used by the research-active staff. MDS uses a wide range of learning and teaching methods, including; lectures, seminars, workshops, computer/practical classes, independent study, research and analysis, case studies and structured reading.

Typical course content Core module: • Introduction to Computer Science • Introduction to Statistics for Data Science • Ethics and Bias in Data Analytics • Machine Learning • Programming for Data Science • Introduction to Mathematics for Data Science • Bioinformatics • Research Project (60 credits).

Examples of optional modules: • Modelling in Molecular Biology • Text Mining and Language Analytics • Data Exploration, Visualization, and Unsupervised Learning • Strategic Leadership

Course fact file Course length 1 year full-time Typical entry requirements A UK first or upper second class Honours degree or equivalent in a degree that excludes Mathematics and Physics and Computer Science.

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Teaching The Master of Data Science is research-orientated. You will be encouraged, through a range of modules, to develop research methods, skills and ethics reflecting the wide range of methods used by the research-active staff. MDS uses a wide range of learning and teaching methods, including; lectures, seminars, workshops, computer/practical classes, independent study, research and analysis, case studies and structured reading.

Assessment The MDS culminates in a major research project, conducted and written up as an independent piece of work with support from your appointed supervisor.

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Master of Data Science (Digital Humanities) MDS

Master of Data Science (Earth and Environment) MDS

Explore the application of quantitative and computational methods to cultural data.

The Master of Data Science (Digital Humanities) is a conversion course with a hard-core of data science, intended to provide Masters-level education rich in the substance of data science for students who hold a first degree in the Humanities.

Introductory modules are designed to bring students who are complete beginners with no prior knowledge of mathematics or programming up to speed with the background necessary for data science. This is done on a need-to-know basis, focusing on understanding in practice rather than abstract theory.

Data Science core modules will include an introduction to mathematics for Data Science, statistical modelling (in R), computer programming (in Python), machine learning, AI and neural networks.

In addition, you will also take a module in Digital Humanities which will explore the application of quantitative and computational methods to cultural data: languages, literary, philosophical and theological texts, historical data, artefacts and material culture, visual art, video and music.

The Masters allows for progressive deepening in your knowledge and understanding, culminating in the research project which is an in-depth investigation of a specific topic or issue where you will apply the techniques you have learned from your Data Science modules to a research problem in a Humanities domain.

Typical course content Core module: • Introduction to Computer Science • Introduction to Statistics for Data Science • Machine Learning • Programming for Data Science • Introduction to Mathematics for Data Science • Digital Humanities: Theory and Practice • Research Project (60 credits).

Examples of optional modules: • Ethics and Bias in Data Analytics • Text Mining and Language Analytics • Data Exploration, Visualization, and Unsupervised Learning • Strategic Leadership.

Gain the key skills and knowledge needed to address the challenges of utilising the streams of data produced in modern industry, science and government.

Course fact file Course length 1 year full-time Typical entry requirements A UK first or upper second class Honours degree or equivalent in a degree that excludes Mathematics and Physics and Computer Science.

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Teaching The Master of Data Science is research-orientated. You will be encouraged, through a range of modules, to develop research methods, skills and ethics reflecting the wide range of methods used by the research-active staff. MDS uses a wide range of learning and teaching methods, including; lectures, seminars, workshops, computer/practical classes, independent study, research and analysis, case studies and structured reading.

Assessment The MDS culminates in a major research project, conducted and written up as an independent piece of work with support from your appointed supervisor.

As part of a suite of Data Science Masters this course is targeted at Geographers, Earth and Environmental Scientists who want to learn how to work with managing natural resources and spatiotemporal information flows. These courses are designed to equip students with the key skills and interdisciplinary knowledge to address the challenges of utilising the streams of data produced in modern industry, science and government.

Previously, data science was the province of experts in maths and computer science, but the advent of new techniques and increases in computing power mean that it is now viable for non-experts to learn how to access, clean, analyse, and visualize complex data. There is thus a growing opportunity for those already in possession of knowledge about a particular subject or discipline, and who are therefore able to grasp the full meaning and significance of data in their area, to be able to undertake data analysis intelligently themselves. The combination of primary domain knowledge with an expertise in extracting relevant information from data will give those with this ‘double threat’ a significant employment advantage.

Typical course content Core module: • Introduction to Computer Science • Introduction to Statistics for Data Science • Machine learning • Programming for Data Science • Data Science Tools in Earth Sciences • Data Science Applications in Earth Sciences • Research Project.

Examples of optional modules: • Introduction to Maths for Data Science • Ethics and Bias in Data Science

Course fact file Course length 1 year full-time Typical entry requirements A UK first or upper second class Honours degree or equivalent in a degree that excludes Mathematics and Physics and Computer Science.

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Teaching The Master of Data Science is research-orientated. You will be encouraged, through a range of modules, to develop research methods, skills and ethics reflecting the wide range of methods used by the research-active staff. MDS uses a wide range of learning and teaching methods, including; lectures, seminars, workshops, computer/practical classes, independent study, research and analysis, case studies and structured reading.

Assessment The MDS culminates in a major research project, conducted and written up as an independent piece of work with support from your appointed supervisor.

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Master of Data Science MDS (Health)

Master of Data Science (Social Analytics) MDS

Understand how to use rich data to improve health and wellbeing for individuals and populations.

The Master of Data Science (Health) is a conversion course with a hard-core of data science, intended to provide Masters-level education rich in the substance of data science for students who hold a first degree that is not highly quantitative, including those from health sciences, social sciences, the arts and humanities.

New techniques and increases in computing power mean that it is now viable for non-experts to learn how to analyse, complex health data themselves. Data Science core modules will include an introduction to mathematics for Data Science, statistical analysis (in R) and computer science (in Python). You will also take three modules that explore theoretical perspectives and specific quantitative and computational methods for the health domain.

Course fact file Course length 1 year full-time Typical entry requirements A UK first or upper second class Honours degree or equivalent in a degree that excludes Mathematics and Physics and Computer Science.

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This Masters will allow you to take full advantage of domain knowledge to intelligently interpret the complex data created by the health system. The course allows for progressive deepening in your knowledge and understanding, culminating in the research project which is an in-depth investigation of a specific topic or issue in health or social care.

Typical course content Core module: • Introduction to Computer Science • Introduction to Statistics for Data Science • Introduction to Mathematics for Data Science • Society, Health and Wellbeing • Models and Methods for Health Data Science • Health Informatics and Clinical Intelligence.

Examples of optional modules: • Machine Learning • Computational Social Science • Programming for Data Science • Strategic Leadership • Data Exploration, Visualization, and Unsupervised Learning.

• Research Project.

Teaching The Master of Data Science is research-orientated. You will be encouraged, through a range of modules, to develop research methods, skills and ethics reflecting the wide range of methods used by the research-active staff. MDS uses a wide range of learning and Science modules to a research problem in a Humanities domain.

Assessment The MDS culminates in a major research project, conducted and written up as an independent piece of work with support from your appointed supervisor.

Learn to carry out impactful social research with quantitative and computational methods.

This is a conversion course with a hard-core of data science, intended to provide Masters-level education rich in the substance of data science for students who hold a first degree that is not highly quantitative, including those in social sciences, the arts and humanities.

Recent advances in quantitative and computational methods greatly expand the toolkit of social analysis. Companies and public, international, and non-governmental organisations are adopting them to advance knowledge and aid policy and business decisions. New computational techniques handle large amounts of data, including text, image, audio, video, and online social interactions. Causal inference, machine learning, and data visualization aid more insightful and impactful analysis.

In maximizing insight and impact, social science domain knowledge is essential, as it is useful in navigating the ethical questions opened up by new data and methods.

The course integrates data science with social science, equipping you to design and execute social data science research and communicate it to optimize impact in business, policy, and scientific settings.

The course allows for progressive deepening in your knowledge and understanding, culminating in the research project which is an in-depth investigation of a specific topic or issue where you will apply the techniques you have learned from your Data Science modules to a research problem in a Social Science domain.

Typical course content Core module: • Introduction to Computer Science • Introduction to Statistics for Data Science • Introduction to Mathematics for Data Science • Programming for Data Science • Social science: Questions, Concepts, Theories, and Methods • Research Project

Examples of optional modules: • Computational Social Science • Machine Learning • Multilevel Modelling • Strategic Leadership • Text Mining and Language Analytics

Course fact file Course length 1 year full-time Typical entry requirements A UK first or upper second class Honours degree or equivalent in a degree that excludes Mathematics and Physics and Computer Science.

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Teaching The Master of Data Science is research-orientated. You will be encouraged, through a range of modules, to develop research methods, skills and ethics reflecting the wide range of methods used by the research-active staff. MDS uses a wide range of learning and teaching methods, including; lectures, seminars, workshops, computer/practical classes, independent study, research and analysis, case studies and structured reading.

Assessment The MDS culminates in a major research project, conducted and written up as an independent piece of work with support from your appointed supervisor.

Physics The Department of Physics is one of the leading physics and astronomy departments in the UK.

Our 100 academic staff offer projects covering a wide range of cutting-edge research topics in physics and astronomy. The Department hosts 240 research students pursuing PhD and MSc projects and provides a lively and supporting environment to pursue your research, using world-class facilities under the supervision of intentionally-renowned staff.

Centre for Doctoral Training Our new Centre for Doctoral Training in Data Intensive Science opened in 2017 and is supported by the Science and Technology Facilities Council under the Industrial Strategy Talent Fund. The Centre comprises the Institute for Computational Cosmology, the Institute for Particle Physics Phenomenology, the Centre for Extragalactic Astronomy and the Centre for Advanced Instrumentation, and is supported by industrial partners.

Over 80 months of placements have taken place with local SMEs, larger companies such as Nissan Motors, Northumbrian Water and Procter & Gamble, and even the United Nations Global Pulse.

Key research groups • Advanced Instrumentation • Astronomy and Astrophysics • Condensed Matter Physics • Elementary Particle Theory • Quantum Light and Matter

Careers and employability Our graduates are highly employable and follow a diverse range of careers, including postdoctoral research, industrial research scientists, data analysts, financial modelling and academic staff positions.

Ranking

Joint 2nd in the UK for internationally excellent and world-leading research impact (REF 2014).

4th

in The Complete University Guide 2022 and The Guardian University Guide 2022.

4th

in The Times and Sunday Times Good University Guide 2022.

World Top 100

in the QS World University Subject Rankings 2021.

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Pursue cutting-edge research projects in theoretical or experimental physics.

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Particles, Strings and Cosmology MSc

Scientific Computing and Data Analysis (Astrophysics) MSc

The aim of this course is to bring you, in 12 months, up to the frontier of elementary particle theory.

It is intended for students who have already obtained a good first degree in either physics or mathematics, including in the latter case courses in quantum mechanics and relativity.

Typical course content Core modules: • Elementary Particle Theory • Dissertation.

Examples of optional modules: • Introductory Field Theory • Group Theory • Standard Model • General Relativity • Quantum Electrodynamics • Quantum Field Theory

• Conformal Field Theory • Supersymmetry • Anomalies • Strong Interaction Physics • Cosmology • Superstrings and D-branes • Non-Perturbative Physics • Euclidean Field Theory • Flavour Physics and Effective Field Theory • Neutrinos and Astroparticle Physics • 2D Quantum Field Theory.

Teaching The course follows a programme of lectures. The lectures begin with a general survey of particle physics and introductory courses on quantum field theory and group theory. These lead on to more specialised topics, including string theory, cosmology, supersymmetry and more detailed aspects of the standard model.

Assessment Assessment is by examination and a dissertation.

Course fact file Course length 1 year full-time.

Typical entry requirements A 2:1 undergraduate degree in either physics or mathematics.

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Address some of the biggest research questions in fundamental science.

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage) • Mathematical aspects of data analysis • Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, financial technology, or earth and environmental sciences).

MISCADA’s Astrophysics specialisation aims to equip students with the background needed to address some of the biggest research questions in fundamental science, such as how we can use large surveys and supercomputer simulations to probe the nature of the dark matter and dark energy. The courses include stellar structure and evolution, galaxy formation, large-scale structure and simulations of structure formation.

“ I had the opportunity to work with a world renowned researcher in the topic. The course met my interests well and had potential for PhD studies (which I am now about to start).”

Richie Dadhey

Typical course content Core modules: • Introduction to Machine Learning and Statistics • Introduction to Scientific and High Performance Computing • Professional Skills (software and project management, science communication and entrepreneurial thinking) • Project.

Examples of optional modules: • Foundations and Unsupervised Learning • Regression and Classification • High Performance Computing and Advanced Algorithms • Simulation of Discrete and Continuous Systems • Particle Physics • Astrophysics • Financial Technology.

The MSc Scientific Computing and Data Analysis courses are interdisciplinary programmes involving departments across the Faculty of Science and managed by the Department of Computer Science.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree (BSc) or equivalent in: • Physics or a subject with basic physics courses OR • Computer Science OR • Mathematics OR • Any natural science with a strong quantitative element • Profound programming knowledge in both Python and C. Learn more Teaching The MSc uses a wide range of learning and teaching methods, including lectures, practical classes/computer labs, independent study, research and analysis, a project (dissertation) and coursework.

You will also complete group and individual presentations.

You will also be given the opportunity to work with a wide variety of computer kit and software, including: systems such as GPGPU/heterogeneous architectures; HPC systems with specialist software installations (such as performance analysis tools); GPU-based AI kit, and data acquisition tools.

Assessment Assessment is by coursework, presentation and a dissertation.

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Scientific Computing and Data Analysis (Particle Physics) MSc

Physics research degrees

Learn about the ideas and concepts underlying particle theory at the forefront of current research.

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage) • Mathematical aspects of data analysis • Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, financial technology, or earth and environmental sciences).

In the particle physics specialisation you will be exposed to the ideas and concepts underlying particle theory at the forefront of current research. Lectures will be presented by academics from the Institute for Particle Physics Phenomenology (IPPP). These lectures are part of the existing Master of Science in “Particles, Strings, and Cosmology” by the Durham Centre for Particle Theory and are taken by all PhD students of the IPPP.

Typical course content Core modules: • Introduction to Machine Learning and Statistics • Introduction to Scientific and High Performance Computing • Professional Skills (software and project management, science communication and entrepreneurial thinking) • Project.

Examples of optional modules: • Foundations and Unsupervised Learning • Regression and Classification • High Performance Computing and Advanced Algorithms • Simulation of Discrete and Continuous Systems • Particle Physics • Astrophysics • Financial Technology.

The MSc Scientific Computing and Data Analysis courses are interdisciplinary programmes involving departments across the Faculty of Science and managed by the Department of Computer Science.

Course fact file Course length 1 year full-time.

Typical entry requirements A UK first or 2:1 Honours degree (BSc) or equivalent in: • Physics or a subject with basic physics courses OR • Computer Science OR • Mathematics OR • Any natural science with a strong quantitative element • Profound programming knowledge in both Python and C. Learn more Teaching The MSc uses a wide range of learning and teaching methods, including lectures, practical classes/computer labs, independent study, research and analysis, a project (dissertation) and coursework. You will also complete group and individual presentations.

You will also be given the opportunity to work with a wide variety of computer kit and software, including: systems such as GPGPU/heterogeneous architectures; HPC systems with specialist software installations (such as performance analysis tools); GPU-based AI kit, and data acquisition tools.

Assessment Assessment is by coursework, presentation and a dissertation.

Pursuing a research degree in Physics at Durham gives you the opportunity to investigate fundamental questions about the Universe under the guidance and in collaboration with staff in our world-leading research groups.

The staff within the Physics Department offer supervision in theoretical and applied research projects covering a very wide range of topics in modern applied and fundamental physics, astronomy and cosmology. These research projects exploit the world-class facilities in Durham and across the globe, including novel detectors, electron microscopes, high-speed lasers, precision metrology, high-performance and quantum computers and the world’s largest ground- and space-based telescopes, to address cutting-edge problems.

Contact T: +44 (0) 191 334 3745

MSc by Research in Physics The MSc by Research (MScR) in Physics is distinct from a taught MSc (which involves structured modules in specialist themes).

The MScR provides a standalone degree, or may serve as further preparation for further postgraduate study toward a PhD in Physics. It is assessed by a 50,000-word thesis.

Course length 1 year full-time.

2 years part-time.

PhD in Physics The PhD is a three- to four-year programme of research study.

You’ll work in an intellectually stimulating and supportive environment, supervised by leading researchers in their field.

All of the research degrees offered by the Physics Department include a taught course element in the first year of study. This comprises a mix of lectures, seminars, practical workshops and the opportunity to pursue a variety of skills-based training courses offered by the University. The PhD is examined by a 100,000-word thesis and an oral examination (viva voce). Funding opportunities may be available from UK research councils, and we also welcome self-funding applicants interested in doing postgraduate research in physics.

Course length 3/3.5/4 years full-time.

6/7/8 years part-time.

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“ My research and professional development has been guided and encouraged by experts in the field and through taught courses and conference opportunities.”

Rachel Goodband

Psychology The Department of Psychology provides a world-class teaching and research environment for postgraduate students in biological, cognitive, social, developmental psychology and neuroscience.

We offer both postgraduate taught courses and postgraduate research degrees. Our Masters courses provide you with core skills – ideal if you want to continue on to complete a PhD, take on a research position or enter the workplace.

Postgraduate taught and research students are supervised by academics with expertise in their fields, and have the opportunity to engage with the vibrant research environment evident in the Department.

Ranking

Joint 1st

in the UK for research environment (REF 2014).

Top 10

in The Complete University Guide 2022.

Departmental highlights You will have access to dedicated laboratory space with equipment linked to teaching on the courses. We are particularly well equipped with opportunities for training in eye-movement recording, motion capture and psychophysics. Specialist facilities include transcranial magnetic stimulation (TMS), electroencephalography (EEG), functional magnetic resonance imaging (fMRI), a bar laboratory, and an animal laboratory.

World Top 100

Centre for Doctoral Training We have great opportunities for PhD funding through the North East and Northern Ireland Doctoral Training Partnership, sponsored by the UK government Economic and Social Research Council. There are also many University-wide funding schemes for international students.

Key research areas • Developmental Science • Cognitive Neuroscience • Quantitative Social Psychology

Careers and employability Career destinations for graduates include consultant, advisor, human resources professional, talent manager, business analyst, market researcher, public relations professional, marketeer, administrator, manager, civil servant, coach, trainer or teacher. However, the broad nature of the curriculum ensures that graduates also qualify for career destinations in clinical and healthcare settings.

in the QS World University Subject Rankings 2021.

We offer an opportunity to participate in an active research environment.

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Behavioural Science MSc

Cognitive Neuroscience MSc

Gain an understanding of the factors that impact behaviour.

This MSc is aimed at students who are seeking access to cutting-edge behavioural science research, advanced training in quantitative methods, and instruction in the application of behavioural science principles to everyday problems faced within the public, private and third sectors. The MSc is designed to provide you with an understanding of factors that impact behaviour, including the role of ‘nudging’ in behaviour change, and the research and analytical skills to enable an analysis of business problems from a behavioural perspective. It will provide you with a wide range of knowledge (both of a theoretical and a practical nature) and transferable skills, including various professional ways of disseminating knowledge.

This course will prove invaluable for those intending to enter the public, private or third sectors, including business, charities and government, local authorities and international organisations, by giving you the tools to apply behavioural principles to problemsolving and decision-making in these domains. It will provide the behavioural insights to help individuals build confidence, influence others, think and cooperate interculturally, set and achieve goals, negotiate mindfully and work effectively in a team.

Typical course content Core modules: • Advanced Topics in Behavioural Science • Critical Research Practice • Statistics for Psychology and the Behavioural Sciences • Advanced Statistics for Psychology and the Behavioural Sciences • Dissertation.

Examples of optional modules: • Power and Influence • Diversity and Inclusion in Practice • Behavioural Insights for Public Policy.

Develop your knowledge and practical experience of cognitive neuroscience and psychology.

Course fact file Course length 1 year full-time.

Typical entry requirements A 2:1 in psychology, economics, business or related subject (or equivalent).

If you are an international student who does not meet the requirements for direct entry to this degree, you may be eligible to take a pre-Masters pathway course at the Durham University International Study Centre.

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“Working with my Dissertation Supervisor, was a massive highlight of my course. Being able to develop my own research with the help and supervision of someone so high up in the field has been an invaluable experience.”

The MSc Cognitive Neuroscience is aimed at students who are seeking to build up knowledge and practical experience of Cognitive Neuroscience and Psychology. Students from our course go on to pursue careers in research or research related disciplines, but also careers in industry or clinical psychology.

The MSc in Cognitive Neuroscience at Durham University stands out because it has many practical elements, like workshops and lab placements, that allow you to experience research rather than just hearing about it.

As the theoretical background to, and techniques of Cognitive Neuroscience are rarely available to students at undergraduate level, the main objective of this MSc is to provide you with detailed theoretical and practical knowledge of Cognitive Neuroscience and Cognitive Neuroscience techniques that are most relevant right now . This wide-ranging knowledge will make you an extremely strong candidate for future research or research related positions, and will enable you to engage with broad research programmes, utilising a range of techniques.

Typical course content Core modules: • Current Issues in Cognitive Neuroscience • Techniques in Cognitive Neuroscience • Critical Research Practice

• Statistics for Psychology and the Behavioural Sciences • Advanced Statistics for Psychology and the Behavioural Sciences • Dissertation.

Teaching The MSc Cognitive Neuroscience is delivered through a mixture of lectures, seminars, practical sessions, workshops and lab placements.

Lydia Griffin

Teaching The MSc Behavioural Science is delivered through a mixture of lectures, seminars, practical sessions, and workshops.

Assessment Assessment is divided between examinations, written assignments, oral presentations, and a dissertation.

Assessment Assessment is divided between examinations, written assignments and a dissertation.

Course fact file Course length 1 year full-time.

Typical entry requirements A 2:1 in psychology or a psychology-related subject (or equivalent).

If you are an international student who does not meet the requirements for direct entry to this degree, you may be eligible to take a pre-Masters pathway course at the Durham University International Study Centre.

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Developmental Psychopathology MSc

Research Methods (Behavioural Science) MA

Gain advanced training in research methods in clinical and child development.

Gain an understanding and knowledge of behavioural science with broad social science research training.

The aim of the MSc Developmental Psychopathology is to provide advanced research training for students interested in pursuing careers in the field of research, child development and clinical or educational psychology. The subject-specific and generic postgraduate training provided by the course enables you to develop the knowledge, skills and understanding required of a professional conducting research in clinical, child development or other fields.

Course fact file Course length 1 year full-time.

The MA in Research Methods (Behavioural Science) is a Social Sciences faculty degree that involves other departments within the University.

Course fact file Course length 1 year full-time.

Typical entry requirements A 2:1 in psychology or a psychology-related subject (or equivalent).

Typical entry requirements 2:1 in Psychology, Economics, Business or related subject (or equivalent).

Research training forms a key focus of the MSc. In addition to providing training in basic research, the course aims to integrate research perspectives from clinical and educational psychology.

This distinctive emphasis is reflected in the learning outcomes, structure and assessment of the course.

If you are an international student who does not meet the requirements for direct entry to this degree, you may be eligible to take a preMasters pathway course at the Durham University International Study Centre.

Students intending to have a career as a research psychologist or behavioural scientist need to acquire a high level of research skills at postgraduate level. Research methods training therefore forms a central part of the MA course, including both quantitative and qualitative research methods. One third of the course is also devoted to the dissertation which may be carried out in any area of psychology related to behavioural science.

The taught course modules include both generic and subject level components, providing an introduction to broad issues and methodological approaches in behavioural science and the social sciences.

Typical course content Core modules: • Advanced Developmental Psychology Review • Critical Research Practice • Research Design in Child and Clinical Psychology • Current Issues in Developmental Psychology and Psychopathology

• Statistics for Psychology and the Behavioural Sciences • Advanced Statistics for Psychology and the Behavioural Sciences • Dissertation.

Teaching The course is delivered predominantly through a mixture of lectures, seminars and workshops.

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Typical course content Core modules: • Advanced Topics in Behavioural Science Methods modules: Students undertake 60 credits of methods modules co-ordinated through the Durham Research Methods Centre. There will be a range of modules to choose from covering qualitative and quantitative methods, and statistics.

Examples of optional modules**: • Power and Influence • Diversity and Inclusion in Practice • Behavioural Insights for Public Policy **Not all optional modules will necessarily be available in any one year

Teaching The course is delivered through a mixture of lectures, seminars and practical classes.

Assessment Assessment is divided between examinations, written assignments, oral presentations and the dissertation.

Assessment Each 10 week unit is assessed by means of formative and summative assessments. The summative assessments count towards the final degree outcome. For the course as a whole, the assessments include examinations, written assignments, oral presentations, and the dissertation.

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Research Methods (Developmental Psychology) MA

Psychology research degrees

Together we can make new discoveries about human behaviour.

Gain an understanding and knowledge of developmental psychology (typical and atypical) alongside advanced social science research methods training.

The MA Research Methods (Developmental Psychology) is primarily designed for students who plan to continue their graduate studies at PhD level in the broad area of developmental psychology. It is recognised by the Economic and Social Research Council (ESRC) as providing suitable training for this purpose, and the course is one of the ESRC accredited NINEDTP training pathways. Applicants interested in applying for NINE-DTP funding should contact prospective supervisors in the Psychology Department. It is also relevant for students wishing to pursue careers in applied areas, such as clinical or educational psychology.

Course fact file Course length 1 year full-time.

Typical entry requirements A 2:1 in psychology or a psychology-related subject (or equivalent).

Methods Modules 60 credits from: Students undertake 60 credits of methods modules co-ordinated through the Durham Research Methods Centre. There will be a range of modules to choose from covering qualitative and quantitative methods, and statistics.

Teaching The course is delivered through a mixture of lectures, seminars and practical classes.

Assessment Assessment is divided between examinations, written assignments, oral presentations and the dissertation.

Contact T: +44 (0) 191 334 3273

MSc/MA by Research in Psychology The MSc/MA by Research is a research-focused programme intended for students who already have a good background in psychology, typically from undergraduate study. It is designed to train students wishing to pursue a higher research degree.

The programme can be tailored to your own research interests.

Course length 1 year full-time.

PhD in Psychology The PhD is a three-year programme of research study. You’ll work in an intellectually stimulating and supportive environment, supervised by leading researchers in their field. Funding opportunities may be available from UK research councils and charities, and we also welcome self-funding applicants interested in doing postgraduate research in psychology.

Course length 3 years full-time.

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Students intending to have a career as a research psychologist need to acquire a high level of research skills at postgraduate level. Research methods training therefore forms a central part of the MA, including both quantitative and qualitative research methods. One third of the course is also devoted to the dissertation, which may be carried out in any area of psychology related to development. The taught course modules include both generic and subject-specific components, providing an introduction to broad issues and methodological approaches in developmental psychology and the social sciences.

Typical course content Core modules: • Advanced Developmental Psychology Review • Research Design in Child and Clinical Psychology • Current Issues in Developmental Psychology and Psychopathology • Dissertation

Our postgraduate courses offer the opportunity to focus on a particular aspect of psychology, learn key approaches to the discipline including statistical training, and to undertake research for a dissertation in your chosen subject, supported by a member of staff with expertise in that area. Durham’s strengths in areas of psychology make these degrees a unique opportunity to participate in an active research environment and to develop ideas about your future career.

“ The MA provides a mix of advanced research training (theoretical and practical) in the area of developmental psychology and psychopathology.”

Ellen Ridley

“ My MSc training allowed me to go beyond theory taught by experts in their field, to utilise skills and knowledge in an applied way.”

Dr Helen Knight

Sport and Exercise Sciences Durham University is an outstanding place to study sport and exercise sciences as a postgraduate student, as well as offering exceptional opportunities for participation and excellence in sport.

We supervise PhD and Masters by Research courses, and the interdisciplinary nature of our department is reflected in the varied research undertaken. Our postgraduates work in and across sport and exercise science disciplines including: sociology, psychology, physiology, nutrition, policy, and political sciences. Projects span theory and practice, with students working closely with academic supervisors to better understand how sport and physical activity relate to wellbeing, health, and a just and fair society.

Ranking

Postgraduate researchers are an important part of our departmental community, and we work closely with you throughout your research journey. Our academic supervisors have a strong track-record of supporting students to identify and secure funded scholarships from a variety of sources, including: research council funding (ESRC, AHRC), National Institute for Health Research scholarships, and with global and national charities or industry partners.

in The Complete University Guide 2022.

Departmental highlights Within the Department, the expertise of academic staff means that supervision for all postgraduate courses is outstanding. Students play a full part in our thematic research groups, and supervisors are supportive and approachable, while simultaneously challenging their students to become world-leading researchers in their field.

As a postgraduate student at Durham, there are many other opportunities to get involved with the Department and wider University. These include teaching on modules for undergraduates, leading Durham University Summer Schools, participating in larger research projects, and engaging in University outreach programmes.

These opportunities develop many skills, including communicating with a wide variety of audiences, research data analysis, teaching, learning and pedagogical approaches, project planning, and organisation. Within the wider Faculty of Social Sciences & Health, students build research networks with other like-minded students across the University and beyond, for example through planning and running interdisciplinary conferences.

Careers and employability Our graduates are employed in a wide range of careers, including traditional academic positions, industry-based research and development, health service practitioners, applied sport science support, and in national and international health policy and governance.

4th

in The Guardian University Guide 2022.

5th

Top 10

in The Times and Sunday Times Good University Guide 2022.

Top 100

in The QS World University Rankings 2021.

Key research areas • Sporting Lives: Transforming Sport, Transforming Lives • Healthy Communities: Moving, Growing, Thriving

We lead research to reduce inequalities, promote social justice, and ensure better health and wellbeing through sport, exercise and physical activity.

Course information

Sport and Exercise Sciences research degrees

The Department of Sport and Exercise Sciences (DSES), launched in 2018, and comprises a multidisciplinary team of psychologists, physiologists, sociologists, nutritionists, and political scientists.

We welcome applicants who are interested in developing their own MSc/MA/PhD thesis on any aspect of sport and exercisebased enquiry that our wide range of academic staff is available to supervise. We also invite applications for cross-departmental projects. We strongly advise potential applicants to contact intended supervisors prior to submitting an application.

Supervisors can help applicants to strengthen their ideas and identify funding opportunities.

Contact T: +44 (0) 191 334 1516 Email Learn more

Our postgraduate research students both actively contribute to and lead Department and Research Institute activities, such as seminars, theme meetings and conferences. The Department’s cross-discipline journal club is led by our students and encourages critical discourse around methodological perspectives within sport and exercise sciences.

MSc by Research Sport and Exercise Sciences and MA by Research Sport and Exercise Sciences An MA/MSc by Research is distinct from a traditional taught postgraduate course. The degree provides a standalone research degree, or may serve as preparation for further postgraduate study towards a PhD. It is assessed by a (maximum) 50,000-word thesis.

Course length 1 year full-time.

2 years part-time.

PhD Sport and Exercise Sciences A PhD affords the opportunity to test and explore ideas within sport and exercise sciences and will include an original and significant contribution to the wider field of knowledge. The PhD is examined by a (maximum) 100,000-word thesis and an oral examination (viva voce).

Course length 3 years full-time.

6 years part-time.

“ If you’re looking for a department that champions its postgraduate researchers and exposes them to a vastly interdisciplinary environment, DSES is the place for you.”

Dr Xander Hodge

Postgraduate researchers play a vital role within our academic community.

Contact Durham University The Palatine Centre Stockton Road Durham DH1 3LE UK ENQUIRIES T: +44 (0) 191 334 1000 W: durham.ac.uk/study/askus

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Durham University and Durham University logo are registered Trade Marks of the University of Durham™. Unless otherwise stated, all material in this prospectus is copyright of the University of Durham. The University makes every effort to ensure that the information contained here is accurate. The University prospectus is intended as a general guide to the University of Durham’s facilities and forms no part of any contract between you and the University.

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