BSc Mathematics for Data Science
About this course
BSc (Hons) in Mathematics and Statistics, combining quantitative methods with data-driven analysis. Core topics include Statistics, Mathematical Modelling, Programming, Data Analysis, and Artificial Intelligence & Machine Learning. A third of the credits at each level are based on project-oriented work, and a four-year Professional Placement option is available with industry placements.
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: ABB including Maths or Further Maths IB: International Baccalaureate Diploma 31 points including HL 5 in Maths (AA or AI). GCSE English equivalent SL 5 or HL 4 and Mathematics SL 2 or HL 2
Admissions (2022 entry, home applicants)
Offer rate 93%: 13 offers from 14 applications, from the university's Freedom of Information return.
What students say
Based on about 16 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 85%
- Learning opportunities: 80%
- Assessment and feedback: 82%
- Academic support: 83%
- Organisation and management: 93%
- Learning resources: 92%
- Student voice: 76%
Do students stay on the course?
Based on about 15 students who started, across similar courses at this university (a small group: a rough guide only)
- Continued on course: 80%
- Left higher education: 20%
What graduates do next
Based on about 10 graduates who answered, across similar courses at this university (a small group: a rough guide only)
- Working: 60%
- Working and studying: 20%
- Further study: 5%
- Unemployed: 15%
Most common jobs
- Administrative occupations: 20%
- Information Technology Professionals: 20%
- Teaching Professionals: 15%
- Finance Professionals: 15%
- Business and public service associate professionals: 10%
Where graduates work (5 years on)
Based on about 145 graduates, across similar courses at this university
- North West: 1%
- East Midlands: 3%
- West Midlands: 3%
- East of England: 4%
- London: 66%
- South East: 16%
- South West: 3%
- Wales: 1%
- Scotland: 2%
Who gets in
Based on about 15 students who started, across similar courses at this university (a small group: a rough guide only)
- A levels: 80%
- Foundation course: 15%
- Other HE qualification: 5%
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): Bronze overall, Bronze for student experience, Bronze for student outcomes.
Modules
- Calculus 1
- Calculus 2
- Elements of Applied Mathematics 1
- Elements of Applied Mathematics 2
- Fundamentals of Mathematics
- Linear Algebra
- Probability and Statistics 1
- Applied Statistics
- Calculus 3
- Discrete Mathematics
- Linear and Abstract Algebra
- Machine Learning for Artificial Intelligence
- Probability and Statistics 2
- Professional Development and Project Work
- Practical Machine Learning
- Experimental Design and Regression Analysis
- Stochastic Models
- Data Mining and AI for Big Data Analytics
- Applied Optimisation
- Data Science Project
Questions about this course
How much do graduates of BSc Mathematics for Data Science at Brunel University of London earn?
The median salary is £30,500 after 3 years, £41,000 after 5 years. After five years the middle half of graduates earn between £32,500 and £50,500. The £41,000 median after five years is £2,000 less than the UK median for Statistics.
What do graduates of BSc Mathematics for Data Science at Brunel University of London do next?
80% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on BSc Mathematics for Data Science at Brunel University of London?
85% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Mathematics for Data Science at Brunel University of London?
The typical offer is ABB at A level, or 31 points in the IB. The average entrant had 109 UCAS points.
What is the offer rate for BSc Mathematics for Data Science at Brunel University of London?
93% of home applicants received an offer for 2022 entry: 13 offers from 14 applications, according to the university's Freedom of Information return.
Is BSc Mathematics for Data Science at Brunel University of London 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 for Data Science at Brunel University of London?
80% of students continued into their second year, and 20% left higher education.