BSc Mathematics and Statistics with Data Science
About this course
BSc in Mathematics and Mathematics and Statistics, combining mathematical theory with statistical methods. Core topics include programming, data analysis, statistics, mathematical modelling, and artificial intelligence and machine learning. The programme is approved by the Institute of Mathematics and its Applications for Chartered Mathematician designation. Students complete a portfolio of projects on mathematical and statistical topics.
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: ABC, including A level Mathematics, Further Mathematics or Pure Mathematics at grade A. If you are studying an Extended Project Qualification (EPQ) in addition to your A levels and achieve a B in the EPQ we will accept ACC at A level with an A in Mathematics, Further Mathematics or Pure Mathematics. IB: 30 points overall including 6 in Maths at higher level.
What students say
Based on about 7 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 93%
- Learning opportunities: 86%
- Assessment and feedback: 86%
- Academic support: 90%
- Organisation and management: 85%
- Learning resources: 100%
- Student voice: 80%
Do students stay on the course?
Based on about 15 students who started (a small group: a rough guide only)
- Continued on course: 85%
- Left higher education: 15%
What graduates do next
Based on about 13 graduates who answered, across similar courses at this university (a small group: a rough guide only)
- Working: 45%
- Working and studying: 25%
- Further study: 20%
- Unemployed: 5%
Most common jobs
- Finance Professionals: 25%
- Business and public service associate professionals: 20%
- Administrative occupations: 15%
- Elementary occupations: 15%
- Teaching Professionals: 10%
- Find their work meaningful: 70%
- Feel on track for their future plans: 80%
- Use what they learnt on the course: 35%
Where graduates work (5 years on)
Based on about 145 graduates, across similar courses at this university
- North East: 1%
- North West: 1%
- Yorkshire and the Humber: 3%
- East Midlands: 3%
- West Midlands: 7%
- East of England: 10%
- London: 25%
- South East: 38%
- South West: 10%
- Wales: 3%
Who gets in
Based on about 10 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): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Real Analysis I
- Calculus
- Foundations of Mathematics
- Linear Algebra
- Mathematical Communication
- Probability and Statistics
- Differential Equations
- Linear Models and Data Analysis
- Probability and Statistical Theory
- Numerical Analysis I
- Mathematical Modelling and Professional Skills
- Algebra
- Programming in Python
- Real Analysis II
- Mathematical Methods and Physical Applications
- Preparing for Professional Placements Part 2
- Advanced Statistical Modelling
- Methods of Machine Learning
- Portfolio of Projects
- Applied Stochastic Processes
- Numerical Analysis II
- Number Theory and Cryptography
- Dynamical Systems and Applications
- Asymptotic Methods
- Groups and Galois Theory
- Topics in Pure and Applied Mathematics
- Mathematical Physics
- Image Analysis and Visual Intelligence
- Data Integration and Information Visualisation
- Virtual Reality, Games and Graphics
- Text Mining and Natural Language Processing
Questions about this course
How much do graduates of BSc Mathematics and Statistics with Data Science at University of Reading earn?
The median salary is £30,000 after 15 months, £30,500 after 3 years, £39,000 after 5 years. After five years the middle half of graduates earn between £28,500 and £49,500. The £39,000 median after five years is £500 less than the UK median for Mathematics.
What do graduates of BSc Mathematics and Statistics with Data Science at University of Reading do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on BSc Mathematics and Statistics with Data Science at University of Reading?
93% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Mathematics and Statistics with Data Science at University of Reading?
The typical offer is ABC at A level, or 30 points in the IB. The average entrant had 125 UCAS points.
Is BSc Mathematics and Statistics with Data Science at University of Reading 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.
Does BSc Mathematics and Statistics with Data Science at University of Reading include a placement year or year abroad?
The course has an optional placement year and an optional year abroad.
How many students continue on BSc Mathematics and Statistics with Data Science at University of Reading?
85% of students continued into their second year, and 15% left higher education.