MSci Mathematics and Data Science
About this course
MSci in Mathematics and Data Science, a mathematics and computer science degree exploring mathematical techniques alongside applications in data science. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Project Management, Critical & Analytical Thinking, Artificial Intelligence & Machine Learning. The curriculum is structured over four years, culminating at master level and including options for a commercial or industrial experience placement. The first year establishes core knowledge through Fundamentals of Machine Learning, Programming, Social and Professional Issues of the Information Age, Object-Oriented Programming, Foundations, Mathematical Methods, and Probability, Statistics and Data. The second year develops technical competence via Machine Learning and Data Science, Team Project, Differential Equations, Vector Calculus and Applications, and Statistical Modelling and Inference, alongside optional modules such as Computational Intelligence and Mathematics of Machine Learning and AI. The third year centres on the Individual Literature Review and Project, complemented by numerous optional subjects spanning Data Science at Scale, Probabilistic Machine Learning, Fluid Dynamics, Statistical Inference, and Stochastic Processes. Optional choices allow specialisation across diverse applied branches of mathematics and computational analysis in the final stages of the programme.
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Entry requirements
A level: AAA-AAB. Required subjects: A in Mathematics, Pure Mathematics or Further Mathematics. IB: 36/666-34/665.
What students say
Based on about 105 final-year students who answered, across similar courses at this university
- Teaching on my course: 85%
- Learning opportunities: 83%
- Assessment and feedback: 80%
- Academic support: 88%
- Organisation and management: 81%
- Learning resources: 90%
- Student voice: 85%
Do students stay on the course?
Based on about 240 students who started, across similar courses at this university
- Continued on course: 94%
- Left higher education: 5%
What graduates do next
Based on about 48 graduates who answered, across similar courses at this university
- Working: 76%
- Working and studying: 7%
- Further study: 6%
- Unemployed: 8%
Most common jobs
- Finance Professionals: 32%
- Information Technology Professionals: 15%
- Business, Research and Administrative Professionals: 9%
- Administrative occupations: 8%
- Elementary occupations: 7%
- Find their work meaningful: 85%
- Feel on track for their future plans: 80%
- Use what they learnt on the course: 80%
Where graduates work (5 years on)
Based on about 35 graduates, across similar courses at this university
- East of England: 5%
- London: 40%
- South East: 15%
- South West: 40%
Who gets in
Based on about 230 students who started, across similar courses at this university
- A levels: 88%
- Baccalaureate: 5%
- Access course: 1%
- Foundation course: 2%
- Other HE qualification: 3%
- Other qualifications: 1%
Accreditation & quality ratings
TEF 2023 (whole university): Gold overall, Gold for student experience, Gold for student outcomes.
Modules
- Fundamentals of Machine Learning
- Programming
- Social and Professional Issues of the Information Age
- Object-Oriented Programming
- Foundations
- Mathematical Methods
- Probability, Statistics and Data
- Machine Learning and Data Science
- Team Project
- Differential Equations
- Vector Calculus and Applications
- Statistical Modelling and Inference
- Computational Intelligence
- Mathematics of Machine Learning and AI
- Individual Literature Review and Project
- Data Science at Scale
- Probabilistic Machine Learning
- Theory of Weather and Climate
- Mathematical Biology and Ecology
- Fluid Dynamics
- Partial Differential Equations
- Mathematics: History and Culture
- Graphs, Networks and Algorithms
- Stochastic Processes
- Statistical Inference
- Mathematics of Climate Change
- Computational Nonlinear Dynamics
- Bayesian Statistics, Philosophy and Practice
- Integral Equations
- Statistical Computing
- Dynamical Systems and Chaos
- Statistical Data Modelling
- Commercial and Industrial Experience
Questions about this course
How much do graduates of MSci Mathematics and Data Science at University of Exeter earn?
The median salary is £34,000 after 15 months, £40,500 after 3 years, £58,000 after 5 years. After five years the middle half of graduates earn between £37,000 and £68,500. The £58,000 median after five years is £18,500 more than the UK median for Mathematics.
What do graduates of MSci Mathematics and Data Science at University of Exeter do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MSci Mathematics and Data Science at University of Exeter?
85% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MSci Mathematics and Data Science at University of Exeter?
The typical offer is AAB at A level. The average entrant had 157 UCAS points.
How many students continue on MSci Mathematics and Data Science at University of Exeter?
94% of students continued into their second year, and 5% left higher education.