We are 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.
Why do we store data? Where do we store it? How do we retrieve it? What do we use it for?
There is an increasing demand for people who can manage and control 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.
The 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.Course highlights
Our courses are shaped by our leading research in areas such as probability and financial mathematics, modern applied statistics, and analysis.
Access to modern facilities and computing equipment throughout the school, complemented by social areas, communal problem-solving spaces and quiet study rooms
Benefit from the school’s close links with organisations like Leeds Institute for Data Analytics, Leeds Institute for Fluid Dynamics and the Alan Turing Institute
A diverse and supportive community of mathematicians from all over the world
Get more detailsVisit official programme website
The course will equip you with the knowledge and skills you need to meet the challenges of data science in the modern world.
Modules can be chosen from the School of Mathematics; the School of Computing; the School of Geography and Leeds University Business School.
Mathematics modules are available for students who are not from a mathematics/statistics background, while Computing modules will be suitable for students on this programme who are not from a computer science background.
The course will introduce you to different perspectives on data science, including the mathematical and computational underpinnings of the subject and its applications in specific contexts.
The dissertation gives you the opportunity to demonstrate independent research skills necessary for a professional or academic career. It allows you to develop deep knowledge and understanding of practical issues whilst applying skills acquired throughout the programme.
- 12 months
Start dates & application deadlines
DisciplinesMathematics Computer Sciences Data Science & Big Data View 220 other Masters in Mathematics in United Kingdom
This is an extremely popular MSc. To be considered you will need to provide evidence of:
- A bachelor degree with a 1st or high 2:1 (hons) in a subject containing a substantial mathematical, statistical and/or computing component.
- All your key modules should have strong grades (mainly 1sts 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.
Please check your marks using international equivalent qualifications. We will 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.
Living costs for Leeds
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 9 months
Check the official programme website for potential updates.