BSc Data Science
About this course
BSc in Data Science, a mathematics and statistics degree focused on the statistical foundation and computational methods of modern data analysis. Core topics include Programming, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students complete a major final-year project. The first year covers foundational concepts through Database Systems A, Calculus and Linear Algebra, Introduction to Probability and Statistics, and Programming Fundamentals. The second year advances core knowledge with Advanced Linear Algebra, Probability and Inference, Regression Modelling, and Algorithms and Data Structures, while offering optional modules such as Mathematical Analysis. The final year involves compulsory modules like Statistical Machine Learning and Inference at Scale, alongside optional choices spanning software engineering, financial methods, and medical statistics.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: A*AA (A* in Mathematics required. Further Mathematics preferred. If you are studying both then the A* can be in either subject. Other preferred subjects include Chemistry, Economics, Physics and Statistics.) IB: 39 points (A total of 19 points in three higher level subjects including grade 7 in Mathematics, with no higher level score below 5. The programme will accept either ‘Mathematics: Analysis and Approaches’ or ‘Mathematics: Applications and Interpretation’ at higher level. Further Mathematics, Chemistry, Economics, Physics and Statistics preferred.)
Admissions (2022 entry, home applicants)
Offer rate 37%: 25 offers from 68 applications, from the university's Freedom of Information return.
What students say
Based on about 20 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 88%
- Learning opportunities: 82%
- Assessment and feedback: 79%
- Academic support: 94%
- Organisation and management: 96%
- Learning resources: 90%
- Student voice: 84%
Do students stay on the course?
Based on about 35 students who started
- Continued on course: 100%
What graduates do next
Based on about 11 graduates who answered, across similar courses at this university (a small group: a rough guide only)
- Working: 60%
- Further study: 20%
- Unemployed: 5%
Most common jobs
- Finance Professionals: 25%
- Business, Research and Administrative Professionals: 20%
- Information Technology Professionals: 15%
- Business and public service associate professionals: 15%
- Managers, directors and senior officials: 10%
- Find their work meaningful: 60%
- Feel on track for their future plans: 85%
- Use what they learnt on the course: 70%
Where graduates work (5 years on)
Based on about 105 graduates, across similar courses at this university
- North East: 2%
- North West: 1%
- Yorkshire and the Humber: 1%
- East Midlands: 1%
- East of England: 6%
- London: 77%
- South East: 7%
- South West: 2%
- Wales: 2%
Who gets in
Based on about 30 students who started
- A levels: 80%
- Baccalaureate: 5%
- Other HE qualification: 10%
- No formal qualifications: 5%
Accreditation & quality ratings
- Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.
TEF 2023 (whole university): Silver overall, Silver for student experience, Gold for student outcomes.
Modules
- Database Systems A
- Calculus and Linear Algebra
- Calculus in Several Dimensions
- Introduction to Probability and Statistics
- Further Probability and Statistics
- Introduction to Practical Statistics
- Programming Fundamentals
- Advanced Linear Algebra
- Probability and Inference
- Regression Modelling
- Computing for Practical Statistics
- Algorithms and Data Structures
- Statistical Design and Data Ethics
- Mathematical Analysis
- Introduction to Stochastic Processes
- Decision and Risk
- Project
- Statistical Machine Learning
- Inference at Scale
- Software Engineering
- Database and Information Management Systems
- Numerical Methods
- Introduction to Stochastic Processes
- Statistical Inference
- Stochastic Systems
- Forecasting
- Decision and Risk
- Stochastic Methods in Finance
- Medical Statistics 1
Questions about this course
How much do graduates of BSc Data Science at University College London earn?
The median salary is £38,500 after 15 months, £41,500 after 3 years, £57,000 after 5 years. After five years the middle half of graduates earn between £41,000 and £76,000. The £57,000 median after five years is £14,000 more than the UK median for Statistics.
What do graduates of BSc Data Science at University College London do next?
85% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on BSc Data Science at University College London?
88% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Data Science at University College London?
The typical offer is A*AA at A level, or 39 points in the IB. The average entrant had 184 UCAS points.
What is the offer rate for BSc Data Science at University College London?
37% of home applicants received an offer for 2022 entry: 25 offers from 68 applications, according to the university's Freedom of Information return.
Is BSc Data Science at University College London accredited?
Yes. Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.
How many students continue on BSc Data Science at University College London?
100% of students continued into their second year, and 0% left higher education.