Artificial Intelligence MSc at Northumbria University

ARTIFICIAL INTELLIGENCE AT NORTHUMBRIA

Welcome to Artificial Intelligence at Northumbria University Artificial Intelligence MSc

If you have any questions, members of staff are available on Live Chat to answer your queries.

YOUR COURSE

Why Artificial Intelligence at Northumbria?

Rapidly developing area of computer science

Solution-based commercial applications

Latest AI tools & technologies

High demand across industries

Artificial Intelligence at Northumbria ▪ This course will introduce you to the fundamentals of Artificial Intelligence and provide you with a holistic understanding of digital intelligence and its effects on society.

▪ You will develop a strong understanding of the capability of AI and how best to utilise existing AI tools, allowing you to successfully implement this in practice.

Research-rich environment ▪ You will learn to identify requirements before the application of AI, and become aware of the implications that these tools have from a governance and operational perspective.

▪ You will be able to adapt and advise on the practical application of AI tools and techniques in national and international organisations, across multiple industries, both nationally and internationally.

Fundamentals and applications

Financial and technological support

State-ofthe-art facilities

Artificial Intelligence MSc Examples of Current Modules

Programme Design & Implementation

Systems Analysis & Design with UML

AI & Digital Technology

AI Studio

Intelligent User Interfaces

MSc Project

Research Methods & Project Management

Academic Language Skills (Optional International and EU Students)

DISCLAIMER: Please note that information, advice and guidance received at the Open Day is accurate as of today, and is subject to change as we review our courses and our offers to ensure that you are receiving the best possible educational experience. The University continues tomonitor guidance in relation to Covid-19 to ensure compliance with government requirements and to ensure the health and safety of our students and staff. Our website is the most up to date place to review our information.

Teaching and Assessment Teaching ▪ Courses are split into modules worth 20 credits, with final project worth 60 credits.

▪ You study for 180 credits in total.

▪ Lectures (large group teaching), tutorials (individual practical work), seminars (small group discussions), workshops (interactive, practical sessions) and dissertations (large scale research project).*

▪ Tutorials, practicals, research, case studies, guest/expert input and task based learning, in both guided and independent study.* ▪ Contact hours 4hrs/week/module:*

1 lecture (asynchronous) + 1.5 lab (on campus) + 1.5 workshop and seminar (synchronous) *Subject to access to learning spaces, availability and government guidance during Covid-19.

Teaching and Assessment Assessment ▪ Assessments reflect professional practice and include: ✓ Research report ✓ Performance evaluation ✓ Assignment ✓ Group work ✓ Project proposal ✓ Professional reflection ✓ Project prototype and presentation ✓ Demonstration ▪ Develop your research and project management skills in the form of your final MSc project – a selfdirected research project based on an artificial intelligence related subject of your choosing.

If you are joining us in September 2020 ▪ Your health and wellbeing are our priority – but so is your education, and we will work tirelessly to deliver our quality learning experience safely.

▪ If you can travel safely to us, we will welcome you from 21st September 2020 for your induction programmes; teaching will start from 28th September. If you can’t travel to us safely, you will start online and join us when you can.

▪ Learn on campus with fellow students, as appropriate, through small group teaching, with access to digital hubs, classrooms, laboratories, studios and clinics, and with full access to the University Library – one of the best academic libraries in the UK. ▪ On-campus learning will be combined with flexible online study; with online lectures (both live and prerecorded), interactive activities, webcasts, seminars, workshops, discussion groups and more. You will experience a truly blended learning experience.

▪ Online learning will be collaborative and engaging – designed for a virtual experience and tailored to you and your subject and delivered through our user friendly learning environment – Blackboard Ultra – providing access to virtual classrooms, laboratories, studios, clinics and our library online.

▪ Taught, directed and independent learning activities will be clearly communicated week by week, developing your critical thinking and enabling you to challenge yourself and each other, and apply your learning.

Our Staff â–Ş Our teaching staff include cutting-edge researchers, whose specialisms overlap with the content of this course, ensuring teaching your receive is current and relevant.

Dr Honglei Li (PhD Chinese University of Hong Kong, Information Systems)

Dr Mark Sinclair (PhD University of Essex, Electronic Engineering)

Dr Li Zhang (PhD University of Birmingham, Computer Science)

Prof. Nauman Aslam (PhD Dalhousie University, Engineering Mathematics)

Dr Longzhi Yang (PhD University of Wales, Aberystwyth, Computer Science)

Prof. Wai Lok Woo (PhD Newcastle University, Machine Learning)

Developing Sophisticated Solutions to Real World Problems Our Computational Intelligence and Visual Computing (CIVC) research develops and disseminates emerging work in computational and machine intelligence including: ▪ Digital multimedia security and sensor forensics ▪ Biomedical engineering, bio-inspired computing, biometric security and video analytics

▪ Computational: vision, graphics, financial, neuroscience ▪ Visualisation and virtual reality ▪ Fuzzy systems ▪ Natural language processing, deep learning, health science and bioinformatics

Change Direction ▪ You probably chose your undergraduate degree when you were 17 years old. Have you changed since then? Have your career aspirations changed too?

▪ The hard work you put into your first degree has helped you develop a vast range of valuable skills. By combining them with a Masters in a completely new subject, you can open the door to a career that suits who you are today.

▪ Artificial Intelligence MSc is a conversion programme designed for graduates who have achieved an undergraduate degree in any subject, or who have extensive relevant experience in industry, and want a postgraduate degree in AI to design, implement or enable AI solutions to problems in their disciplines.

Entry Requirements for 2020 ▪ Applicants should normally have a minimum of a 2:2 honours degree in any subject.

Other subject qualifications, equivalent professional qualifications and/or relevant work experience will be considered on an individual basis.

▪ International qualifications - if you have studied a non-UK qualification, you can see how your qualifications compare to the standard entry criteria, by selecting the country that you received the qualification in from our country pages at www.northumbria.ac.uk/yourcountry.

▪ English language requirements - International applicants are required to have a minimum overall IELTS (Academic) score of 6.5 with 5.5 in each component (or approved equivalent*). * The university accepts many UK and International Qualifications in place of IELTS. You can find more details at www.northumbria.ac.uk/englishqualifications.

YOUR CAMPUS

Our Facilities ▪ Northumbria are 11th in the UK for Facilities.*

▪ Major campus investment in recent years – Sport Central, Student Central, Digital Commons, Architecture Studios, Computer and Information Sciences Building.

▪ One of the best academic libraries in the UK, held Customer Service Excellence (CSE) accreditation since 2010, and with 24/7 access.*** ▪ Our IT, library and course resources are all ahead of sector for satisfaction.** *Times Higher Education Student Experience Survey 2018 ** National Student Survey 2019 *** Digital library is currently 24/7, access to library learning spaces reviewed in line with Covid-19 guidance.

Artificial Intelligence Facilities ▪ Taught in new state-of-the-art £7m Computer and Information Sciences building, at the heart of our city centre campus.* ▪ Tools including web-based self-guided exercises, online tests with feedback, videos and tutorials.

These tools support and extend the material that is delivered during lectures, and are available anywhere anytime.

▪ Access to dedicated IT systems and is available evenings and weekends.* ▪ Specialised software: Anaconda, JAVA JDK, MATLAB, Oracle, SPSS, etc.

*Access to facilities and learning spaces reviewed in line with Covid-19 guidance.

YOUR EXPERIENCE

On-course Experience

Courtesy of Biju, Naveed, Edmond, Hubert, and Honglei.

YOUR FUTURE

Career Success at Northumbria ▪ Boost your earning potential: according to the Department for Education’s Graduate Labour Market Statistics 2017, postgraduates earn on average £6,000 a year more than their undergraduate counterparts.

▪ Which? University Student Survey 2018 ranked us as one of the top rated universities for ‘job readiness’ in the UK. ▪ Northumbria is ranked 2nd in the UK for graduate start-ups based on turnover, according to the HEBCIS Survey 2018/19.

▪ Graduate Futures - our Careers and Employment service will help at every stage, from finding part-time jobs that fit alongside your studies and volunteering opportunities, through to finding your first full-time job after graduation.

Where do our Graduates Go? ▪ Opportunities for employment in this area are vast. The demand for AI experts continues to grow, so graduates will have high earnings potential.

▪ Those with the transferable skills and knowledge to supply AI solutions are highly sought after. Demand is high for graduates able to provide technological solutions and seek new ways to gain commercial, competitive advantage.

▪ Upon completion of this course, you will be able to adapt and advise on the practical application of AI tools and techniques in national and international organisations, across multiple industries, both nationally and internationally.

▪ Jobs in this area span a number of different roles within the health, automotive, business, finance, and manufacturing industries. Particular careers include data scientists, AI developers, and consultants, to name but a few.

THANKS FOR WATCHING. What’s Next?

▪ Have any questions? Why not speak to our academics who are live right now, using our LIVE CHAT feature on the bottom right?

▪ To explore our other live events, presentations and live talks go back to the main event menu or view ‘My Itinerary’ ▪ For Application queries email bc.applicantservices@northumbria.ac.uk ▪ For Course queries email yilun.shang@northumbria.ac.uk

DISCLAIMER: Please note that information, advice and guidance received at the Open Day is accurate as of today, and is subject to change as we review our courses and our offers to ensure that you are receiving the best possible educational experience. The University continues to monitor guidance in relation to Covid-19 to ensure compliance with government requirements and to ensure the health and safety of our students and staff. Our website is the most up to date place to review our information.