MSc Information Science (Library Management) / (Data Analytics) at Northumbria University

INFORMATION SCIENCE AT NORTHUMBRIA

Welcome to Information Science at Northumbria University MSc Information Science (Data Analytics) MSc Information Science (Library Management) If you have any questions, members of staff are available on Live Chat to answer your queries.

YOUR COURSE

Information Science (Data Analytics) MSc ▪ Are you looking for a Masters that will open doors to jobs and promotions in the field of data analytics?

▪ This course combines core modules in information science with specialised modules in Database Modelling as well as Statistics and Business Intelligence.

▪ Accredited by the Chartered Institute of Library and Information Professionals (CILIP) to assure students that programmes provide an excellent preparation for professional practice.

▪ This accreditation makes our courses stand out and enhances their credibility and currency among employers, and is also crucial for progressing to Chartership status once qualified.

▪ Close links to national and local Professional Special Interest Groups in CILIP gives our students access to employers from all sectors.

Information Science (Data Analytics) MSc ▪ Our teaching is linked to what you want to learn and also to what you need to learn in order to achieve greater success in information science.

▪ You will cover topics such as how to design and manipulate databases with relational algebra and SQL.

▪ You will also analyse (big) data in order to improve organisational decision-making, using techniques such as regression analysis, clustering, distance measures, probability and distributions.

▪ Our long established relationship with employers ensures that you receive the most relevant and up-to-date knowledge to bring innovation, relevance, ethical sensitivity and currency to all you do.

Information Science (Data Analytics) MSc Examples of Current Modules

Database Modelling

Information Systems and Technologies

Information Organisation and Access

Statistics and Business Intelligence

Research Methods and Professional Practice

User Behaviour and Interaction Design

Academic Language Skills for Computer and Information Sciences (International and EU students only)

Masters Dissertation

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.

Information Science (Data Analytics) MSc Ways to Study 1 year, full-time 2 years, full-time (with advanced practice in second year)* In the year 2, for one semester, you will undertake an Advanced Practice placement**, study in another country** or join a research group.** ▪ Advanced practice placement - the opportunity to spend three months working full-time to gain allimportant work experience and employability skills. We endeavour to help students to source opportunities and to perfect their CV, but ultimately the onus is on you to secure a placement through a competitive application process.

▪ Research – the opportunity to be assigned to our Computer Science and Informatics Research Group. There is every possibility that you may contribute to published research and therefore you may be named as part of the research team - a great start to a research career.

▪ Study abroad - we have exchange agreements with universities all over the world. You will spend a semester at one of these partners, continuing your studies in English but in a new cultural and learning environment. Please note that this option may require you to obtain a visa for study in the other country.

2 years, distance learning Taught via a flexible distance learning mode and it has a slightly extended duration of 16 months. This makes it very suitable for those who are already employed as information professionals and those looking to break into the sector. * Please note that we are no longer accepting new applications for Advanced Practice or Study Abroad courses starting in Sept ember 2020. ** Subject to availability and government guidance during Covid-19.

Information Science (Data Analytics) MSc Teaching ▪ You study for 180 credits.

▪ Our teaching is linked to what you want to learn and also to what you need to learn in order to achieve greater success in information science.

▪ There is an emphasis on learning by doing; coursework will include projects, portfolios of work, reports and presentations as well as essays. All this helps you to make sense of the subject, getting a clear understanding of important concepts and theories.

▪ Our long established relationship with employers ensures that you receive the most relevant and up-to-date knowledge to bring innovation, relevance, ethical sensitivity and currency to all you do.

▪ On-campus modules are delivered as a combination of lectures, seminars and workshops. Each module has 4 hours contact time per week with additional hours spent on self study.

Information Science (Data Analytics) MSc Assessment ▪ Assessments reflect professional practice and include both formative and summative assessments.

▪ Formative assessments will be used to guide your progress and reinforce your learning. and you can expect both your tutors and your peers to provide useful comments and feedback.

▪ Summative assessments which contribute to your final grade will be undertaken either individually or as a group and will be submitted as either as essays, portfolios of work, presentations, reports or project work.

▪ The dissertation allows you to identify a topic of specific interest to you within the context of Information Science. You investigate the topic in depth and apply appropriate research methods to that investigation; during this period you will be allocated an academic supervisor to support preparation and presentation of your dissertation. You will work independently with the assistance of the supervisor, to carry out all stages in the research process.

Information Science (Library Management) MSc ▪ A distance learning course that gives the flexibility to combine existing job, or other commitments, with a Masters-level qualification in the field of library management.

▪ This course is designed equally for those who are already information professionals in libraries and those who are looking to break into the sector for the first time.

▪ Accredited by the Chartered Institute of Library and Information Professionals (CILIP) to assure students that programmes provide an excellent preparation for professional practice.

▪ This accreditation makes our courses stand out and enhances their credibility and currency among employers, and is also crucial for progressing to Chartership status once qualified.

Information Science (Library Management) MSc ▪ This course combines core modules in information science with specialised modules in Information and Digital Literacy as well as Library Management, Leadership and Outreach.

▪ To suit those who have existing work commitments, the course is taught via a flexible distance learning mode and it has a slightly extended duration of 16 months.

▪ Northumbria uses a range of technologies to enhance your learning, with tools including web-based self-guided exercises, online tests with feedback, videos and tutorials.

▪ If you would prefer to study full-time on campus, please see MSc Information Science (Data Analytics).

Information Science (Library Management) MSc Examples of Current Modules Information Organisation and Access

Information Systems and Technologies

Research Methods and Professional Practice

The Library Professional: Management, Leadership and Outreach

User Behaviour and Interaction Design

Masters Dissertation

Information and Digital Literacy

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 c ontinues 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.

Information Science (Library Management) MSc Teaching ▪ You study for 180 credits.

▪ There is an emphasis on learning by doing. This helps you to make sense of the subject, getting a clear understanding of important concepts and theories.

▪ Northumbria uses a range of technologies to enhance your learning, with tools including web-based self-guided exercises, online tests with feedback, videos and tutorials.

▪ As a Distance Learning student you will learn using online learning materials, in addition to discussion boards and online activities. This is facilitated by our University eLearning Portal which has been successfully delivering distance learning provision for a number of years. It is expected that you will draw heavily on your own working experience to contextualise the theory learnt. You are encouraged throughout your programme to reflect critically on the theories and practice of information science.

Information Science (Library Management) MSc Assessment ▪ Assessments reflect professional practice and include both formative and summative assessments.

▪ Formative assessments will be used to guide your progress and reinforce your learning. and you can expect both your tutors and your peers to provide useful comments and feedback.

▪ Summative assessments which contribute to your final grade will be undertaken either individually or as a group and will be submitted as either as essays, portfolios of work, presentations, reports or project work.

▪ The dissertation allows you to identify a topic of specific interest to you within the context of Information Science. You investigate the topic in depth and apply appropriate research methods to that investigation; during this period you will be allocated an academic supervisor to support preparation and presentation of your dissertation. You will work independently with the assistance of the supervisor, to carry out all stages in the research process.

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 ▪ Our teaching staff include cutting-edge researchers whose specialisms overlap with the content of this course, helping ensure that teaching is right up-to-date. Specialisms include big data, data mining, decision-making, digital literacy, information behaviour, information retrieval systems, recommender systems, and the link between information science and cognitive psychology. • You will supported in your studies by the programme leader, Dr Naveed Anwar as well as module tutors and a guidance tutor who will be assigned to you on your arrival.

Your guidance tutor will meet with you regularly to discuss your progress.

Research Rich Learning â–Ş We are living in a digital age where all of our lives are impacted and challenged by digital technologies and information sciences, from cyber security and AI, to social media, games and visual effects, to digital libraries, archives and records.

â–Ş Data and information form the lifeblood of modern society. The Information Management and Data Analytics (IMDA) research group take a multidisciplinary and multidimensional approach to the study of data and information to explore the way they are created, used and managed in specific personal and organisational contexts. â–Ş In the last Research Excellence Assessment (REA) the impact of our research was achieved 3* (internationally excellent) status.

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.

▪ Students can transfer to information sciences from various background including computer sciences students who prefer to do a more analytical job after graduation or social science students who prefer to be equipped with more solid computing knowledge.

▪ Students from other non-computing backgrounds who have many years of industrial experiences in the data analytics and IT industry might find this programme will improve their skills.

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.

Information Science Facilities ▪ On-campus courses are taught within the CIS Building at City Campus in the centre of Newcastle.

▪ Access state of the art facilities and equipment.

▪ Access to dedicated computing areas which students can use during free periods and into the evenings and weekends.

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? ▪ This course is accredited by the Chartered Institute of Library and Information Professionals. The accreditation vital if you want to move on to Chartership status once qualified.

▪ The topics and activities in the course have a strong emphasis on employability.

▪ Some examples of recent graduate employment: ▪ Information Science (Data Analytics) • Data Analyst at Ubisoft • Data analyst and GDAS Data Manager at Kaleidoscope Project • Data Analyst at Surrey City Council

▪ Information Science (Library Management) • Chief Librarian at British Library • Services Manager at Newcastle City Council Community • Libraries Manager at the North of England Institute of Mining and Mechanical Engineers

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 naveed.anwar@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.