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.
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
A degree from Leeds and the experience you'll gain here will give you the edge to find the career you want. Your course will give you the experience and knowledge that employers are looking for to help you secure a job.
The University of Leeds is in the top five most targeted universities in the UK by graduate recruiters, according to High Fliers’ The Graduate Market in 2022 report.
There is 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.
- Information Visualization
- Machine Learning
- Artificial Intelligence
- Programming for Data Science
- Data Mining and Text Analytics
- Geographic Data Visualisation & Analysis
- Applied GIS and Retail Modelling
- Business Analytics and Decision Science
- 12 months
Start dates & application deadlines
- Apply before , International
DisciplinesMathematics Computer Sciences Data Science & Big Data View 264 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 first 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 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 do not normally accept degrees in accountancy or finance for this MSc.
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.