BSc Mathematics, Statistics and Data Science
About this course
BSc (Hons) in Mathematics, Statistics and Data Science, a mathematics and mathematics and statistics degree focused on quantitative methods and computational approaches. Core topics include Data Analysis, Statistics, Mathematical Modelling, Artificial Intelligence & Machine Learning. Students may transfer to related mathematics programmes at the end of the first year based on academic performance. The first year establishes fundamental mathematical and statistical methods through compulsory modules such as Core pure and applied mathematics A, Core pure and applied mathematics B, Statistics and data science 1A, and Statistics and data science 1B. The second year advances into specialized quantitative techniques via Differential equations and vector calculus, Introduction to data science, Machine learning 1, Statistics 2A, and Statistics 2B. The final year focuses on advanced computational applications through Applied data science, Deep learning, Statistical modelling and data analytics 3A, and Statistical modelling and data analytics 3B.
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*A*A including A* in Mathematics and A in a second quantitative subject. IB: 36 points overall and either 7, 7, 6 in three Higher Level subjects including 6 in Mathematics: Analysis & Approaches or 7, 6, 6 or 7, 7, 5 in three Higher Level subjects including 7 in Mathematics: Analysis & Approaches.
What students say
Based on about 5 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 96%
- Learning opportunities: 92%
- Assessment and feedback: 77%
- Academic support: 100%
- Organisation and management: 83%
- Learning resources: 92%
- Student voice: 83%
Do students stay on the course?
Based on about 20 students who started (a small group: a rough guide only)
- Continued on course: 95%
- Left higher education: 5%
What graduates do next
Based on about 85 graduates who answered, across similar courses at this university
- Working: 63%
- Working and studying: 13%
- Further study: 9%
- Unemployed: 7%
Most common jobs
- Information Technology Professionals: 24%
- Business, Research and Administrative Professionals: 20%
- Finance Professionals: 16%
- Business and public service associate professionals: 14%
- Teaching Professionals: 4%
- Find their work meaningful: 82%
- Feel on track for their future plans: 79%
- Use what they learnt on the course: 53%
Where graduates work (5 years on)
Based on about 395 graduates, across similar courses at this university
- North East: 1%
- North West: 4%
- Yorkshire and the Humber: 2%
- East Midlands: 2%
- West Midlands: 4%
- East of England: 10%
- London: 34%
- South East: 23%
- South West: 16%
- Wales: 4%
- Scotland: 1%
- Northern Ireland: 1%
Who gets in
Based on about 20 students who started (a small group: a rough guide only)
- A levels: 100%
Accreditation & quality ratings
- This course is accredited by the Institute of Mathematics and its Applications (IMA) and meets the educational requirements for the Chartered Mathematician (CMath) designation when followed by either: a) Further study at master’s level (FHEQ level 7), or b) Work-based training and experience to reach an equivalent level of competence. It is also recognised as meeting the educational requirements for IMA membership at the appropriate level, from Student Member to Fellow.
TEF 2023 (whole university): Gold overall, Gold for student experience, Gold for student outcomes.
Modules
- Core pure and applied mathematics A
- Core pure and applied mathematics B
- Statistics and data science 1A
- Statistics and data science 1B
- Differential equations and vector calculus
- Introduction to data science
- Machine learning 1
- Statistics 2A
- Statistics 2B
- Applied data science
- Deep learning
- Statistical modelling and data analytics 3A
- Statistical modelling and data analytics 3B
Questions about this course
How much do graduates of BSc Mathematics, Statistics and Data Science at University of Bath earn?
The median salary is £33,000 after 15 months, £38,500 after 3 years, £51,500 after 5 years. After five years the middle half of graduates earn between £38,500 and £70,500. The £51,500 median after five years is £12,000 more than the UK median for Mathematics.
What do graduates of BSc Mathematics, Statistics and Data Science at University of Bath 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 Mathematics, Statistics and Data Science at University of Bath?
96% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Mathematics, Statistics and Data Science at University of Bath?
The typical offer is A*A*A at A level, or 36 points in the IB. The average entrant had 178 UCAS points.
Is BSc Mathematics, Statistics and Data Science at University of Bath accredited?
Yes. This course is accredited by the Institute of Mathematics and its Applications (IMA) and meets the educational requirements for the Chartered Mathematician (CMath) designation when followed by either: a) Further study at master’s level (FHEQ level 7), or b) Work-based training and experience to reach an equivalent level of competence. It is also recognised as meeting the educational requirements for IMA membership at the appropriate level, from Student Member to Fellow.
How many students continue on BSc Mathematics, Statistics and Data Science at University of Bath?
95% of students continued into their second year, and 5% left higher education.