Data Science and Analytics MSc

Course overview

We’re surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions.

There is an increasing demand for people who can manage, control and provide insight into the way data is used. These individuals require an understanding of computer science and mathematics, as well as a familiarity with the data needs and processes of a number of different areas, including healthcare, business, government and the environment.

Our Data Science and Analytics Masters degree offers you the opportunity to develop a range of relevant skills including:

• analysing structured and unstructured data
• analysing large datasets
• critically evaluating results in context
• getting insights from data

The course combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School.

This collaboration allows you to benefit from a range of data science perspectives and applications, allowing you to tailor the course to match your own career ambitions.

Applying

Entry requirements

A bachelor degree with a First or high 2:1 (hons) in a subject containing a substantial mathematical, statistical and/or computing component. You should have strong grades in all your key modules (mainly Firsts with no key marks below 2:1).

You must provide a list of the type and level of maths/computing modules that you have studied if this is not obvious from your transcript. We may ask for further detailed module information if these are not clear on your transcript.

We do not normally accept degrees in accountancy or finance for this MSc.

We accept a range of international equivalent qualifications. For more information please contact the Admissions Team.

English language requirements

IELTS 6.5 overall, with no less than 6.0 in all components. For other English qualifications, read English language equivalent qualifications.

Improve your English

International students who do not meet the English language requirements for this programme may be able to study our postgraduate pre-sessional English course, to help improve your English language level.

This pre-sessional course is designed with a progression route to your degree programme and you’ll learn academic English in the context of your subject area. To find out more, read Language for Science (6 weeks) and Language for Science: General Science (10 weeks).

We also offer online pre-sessionals alongside our on-campus pre-sessionals. Find out more about our six week online pre-sessional and our 10 week online pre-sessional.

You can also study pre-sessionals for longer periods – read about our postgraduate pre-sessional English courses.

Career opportunities

There is an increasing demand for individuals who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics as well as a range of sector-specific skills.

The emerging era of ‘big data’ brought about by the digital technology revolution shows no signs of abating. With the modern world producing ever-growing amounts of new information, data scientists will become increasingly important to help governments, businesses, researchers, NGOs and many other organisations make sense of it all.

Plus, University of Leeds students are among the top 5 most targeted by top employers according to The Graduate Market 2024, High Fliers Research.

Here’s an insight into some of the job positions and organisations previous data science graduates have secured:

• Product SME, Shell UK
• Senior Software Engineer, London Stock Exchange Group (LSEG)
• Data Integration Lead, Stainless Games