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Data Science - MSc


Course Description

Data science provides a huge opportunity to harness new forms of data with increasingly powerful computer techniques which will increase operational efficiency, improve services and provide better insights for decision making and policy making.

Course overview

This newly developed Data Science course will provide you with the technical and practical skills to analyse big data that is key to success in future business, digital media and science.

Data science offers enormous opportunities for an insight into a range of domains, including: business, marketing, science and technology. Study industry-specific topics and specialise in areas such as data mining, machine learning, data analytics and visualisation, security of big data.

Our close links to industry and businesses in the North East, as well as the research expertise of our academics makes this course unique and ensures that the course structure is developed according to the needs of the employment sector. You’ll be taught by experts in: novel techniques for managing and discovering knowledge in big data and open data sets, using big data to address cybercrime, big data and cybersecurity and big data challenges in digital forensics.

The course is pending accreditation from the British Computer Society, the UK’s Chartered Institute for IT.

Course content

The course mixes taught elements with independent research and supportive supervision. At Masters level, responsibility for learning lies as much with you as with your tutor.

Modules on this course include:
-Research Skills and Academic Literacy (15 Credits)
-Big Data in Organisations (15 Credits)
-Data Science Fundamentals (30 Credits)
-Data Visualisation (15 Credits)
-Machine Learning and Data Mining (15 Credits)
-Data Analytics (15 Credits)
-Big Data Security (15 Credits)
-Master Project (60 Credits)

Teaching and assessment

We use a wide variety of teaching and learning methods which include lectures, group work, research, discussion groups, seminars, tutorials and practical laboratory sessions.

Compared to an undergraduate course, you will find that this Masters requires a higher level of independent working. Assessment methods include written reports and research papers, practical assignments and the Masters project.

Facilities & location

The course is taught at the David Goldman Informatics Centre, based at the Sir Tom Cowie Campus at St Peter’s, it looks out over the River Wear and is less than a mile from the seaside.

Sunderland offers one of the most modern and best equipped computing environments in the UK. The open-plan David Goldman Informatics Centre is equipped with over 300 computers, which are continuously upgraded and have attracted praise in an independent evaluation by the BCS.

Join an accredited Cisco Academy department and have access to laboratories fully equipped with Cisco networking equipment, including: routers, switches, terminals and specialist equipment for simulating frame relay and ISDN links.

Benefit from the Remote Global Cisco Academy and have access to our software whether you’re using the WiFi in our halls of residence or you’re at home.

We host high-performance computing platforms, including a Beowulf cluster and a grid distributed system, for concurrent processing of complex computational tasks. You can also access the equipment and licences for our own public mobile cellular network.
Access hundreds of PCs, Apple Macs, or the free WiFi zones across the campus and find the best place for you to study in our unique and vibrant learning space. The University is very diverse with a strong international presence and provides you with the opportunity to explore different cultures.

Study at a uniquely designed library and have access to more than 430,000 books, 9,000 electronic journal articles and benefit from a £1 million annual investment in new resources.

Employment & careers

Job trends data shows a 15,000% increase in the job prospects between 2011 and 2012, recognising big data as the ‘next big thing’ to revolutionise how we work, live and communicate (according to Indeed, 2016).

Progress in some of the most attractive fields and industries, including government agencies, high technology companies, consulting and market research firms.

Benefit from the University’s close links with businesses and employers in the North East and join an industry-driven programme.
Businesses and industries across the UK have identified a skills gap in data science and currently the role of a Data Scientist is one of the highest paid jobs in the computing discipline.

According to the McKinsey Report (2011), “the demand of people with data science skills is predicted to double over the next five years”.

Visit the Data Science - MSc page on the University of Sunderland website for more details!

Entry Requirements

We require applicants to hold an undergraduate degree with a classification of 2:2 or above in a computing or related discipline (mathematics, statistics, engineering), or 2:1 or above in a relevant non-computing or related discipline (which has numeracy included and/or application of big data as a significant theme).

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