BSc Data Science
About this course
BSc in Data Science, a data science degree combining mathematics, computer science and statistical methods. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students can choose to undertake an optional industrial placement year or a year abroad. The first year builds foundational skills through Core Mathematics, Probability and Statistics, Computational Mathematics and Modelling, Data Science and Communication, and Modelling for Big Data. The second year introduces advanced concepts via Further Linear Algebra and Discrete Mathematics, Graphs, Networks and Systems, Machine Learning and Object-Oriented Programming, Statistical Methods, Stochastic Processes, Time Series, Investigations in Mathematics, and Vector Calculus and Transforms. The final year focuses on advanced topics including Deep Learning and Explainable AI, Data Curation and Governance, Statistical Modelling, Methods of Applied Mathematics, Groups and Symmetry, Multivariate Analysis and Classification, Graph Theory and Combinatorics, Mathematical Biology, Numbers and Codes, and Entropy and Quantum Mechanics, alongside a compulsory Project in Data Science.
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: AAA - AAB BTEC: BTEC qualifications in relevant disciplines are considered in combination with other qualifications, including grade A in A-level mathematics, or equivalent IB: 17 points at Higher Level including 6 in Higher Level Mathematics (Mathematics: Analytics and Approaches is preferred).
What students say
Based on about 98 final-year students who answered, across similar courses at this university
- Teaching on my course: 87%
- Learning opportunities: 87%
- Assessment and feedback: 87%
- Academic support: 91%
- Organisation and management: 89%
- Learning resources: 92%
- Student voice: 82%
Do students stay on the course?
Based on about 200 students who started, across similar courses at this university
- Continued on course: 95%
- Left higher education: 5%
What graduates do next
Based on about 41 graduates who answered, across similar courses at this university
- Working: 81%
- Working and studying: 4%
- Further study: 4%
- Unemployed: 10%
Most common jobs
- Finance Professionals: 18%
- Business and public service associate professionals: 13%
- Business, Research and Administrative Professionals: 10%
- Administrative occupations: 9%
- Teaching Professionals: 8%
- Find their work meaningful: 85%
- Feel on track for their future plans: 90%
- Use what they learnt on the course: 90%
Where graduates work (5 years on)
Based on about 130 graduates, across similar courses at this university
- North East: 2%
- North West: 21%
- Yorkshire and the Humber: 17%
- East Midlands: 5%
- West Midlands: 4%
- East of England: 5%
- London: 33%
- South East: 10%
- South West: 1%
- Wales: 2%
Who gets in
Based on about 40 students who started
- A levels: 100%
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, Bronze for student experience, Silver for student outcomes.
Modules
- Core Mathematics
- Probability and Statistics
- Computational Mathematics and Modelling
- Data Science and Communication
- Modelling for Big Data
- Further Linear Algebra and Discrete Mathematics
- Graphs, Networks and Systems
- Machine Learning and Object-Oriented Programming
- Statistical Methods
- Stochastic Processes
- Time Series
- Investigations in Mathematics
- Vector Calculus and Transforms
- Deep Learning and Explainable AI
- Data Curation and Governance
- Project in Data Science
- Statistical Modelling
- Methods of Applied Mathematics
- Groups and Symmetry
- Multivariate Analysis and Classification
- Graph Theory and Combinatorics
- Mathematical Biology
- Numbers and Codes
- Entropy and Quantum Mechanics
Questions about this course
How much do graduates of BSc Data Science at University of Leeds earn?
The median salary is £34,000 after 15 months, £33,000 after 3 years, £43,500 after 5 years. After five years the middle half of graduates earn between £34,000 and £56,000. The £43,500 median after five years is £4,000 more than the UK median for Mathematics.
What do graduates of BSc Data Science at University of Leeds do next?
89% 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 of Leeds?
87% 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 of Leeds?
The typical offer is AAB at A level. The average entrant had 154 UCAS points.
Is BSc Data Science at University of Leeds accredited?
Yes. Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.
Does BSc Data Science at University of Leeds include a placement year or year abroad?
The course has an optional year abroad.
How many students continue on BSc Data Science at University of Leeds?
95% of students continued into their second year, and 5% left higher education.