MSc Mathematics
Please note: This page is for 2027 entry. Click here for 2026 entry.
| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time 2 years part time |
| Entry year | 2026 |
| Campus | Streatham Campus |
| Typical offer | A 2:1 degree or equivalent |
|---|---|
Why study MSc Mathematics at Exeter?
- Gain a thorough grounding in mathematics and benefit from our academic expertise in the latest developments in the subject
- Explore a specialist area of study as you conduct a substantial project in an area that interests you
- Study a range topics including dynamical systems, mathematical biology, weather and climate modelling, probability and stochastics, mathematical analysis, and number theory
- Graduate with a wide range of career opportunities which could involve mathematical reasoning, modelling and computational analysis and benefit from our links with the insurance industry and weather services
- You can progress your studies to PhD level, as this Masters covers both fundamental and specialist advanced mathematics.
Top 20 in the UK for Mathematics
20th in The Times and The Sunday Times Good University Guide 2026 and the Complete University Guide 2027
Top 10 in the world for our Mathematics and Computer Science research
CWTS Leiden Ranking 2024, by percent of articles in the top 10% most-cited
Research expertise in mathematics for healthcare; systems biology; control and dynamics and computational neuroscience
Wide range of exciting and high-impact research projects
Entry requirements
Normally a 2:1 Honours degree or equivalent in a mathematics, science or engineering subject, with significant mathematics content.
Requirements for international students
If you are an international student, please visit our international equivalency pages to enable you to see if your existing academic qualifications meet our entry requirements.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
Entry requirements for international students
English language requirements
International students need to show they have the required level of English language to study this course.
The required IELTS test scores for this course fall under Profile B1.
Please visit our English language requirements page to view the required test scores and equivalencies from your country.
Course content
The programme comprises two compulsory taught modules and 105 credits of optional modules. The taught component of the programme is completed in June with the project extending over the summer period for submission in September.
The modules below provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
Please note that the module information displayed here is subject to change.
75 credits of compulsory modules, 105 credits of optional modules
You may select 45-105 credits from Optional Module group 1
You may select 0-30 credits from Optional Module group 2
You may select 0-30 credits from Optional Module group 3
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| Compulsory 1 | ||
| Advanced Mathematics Project | 60 | |
| Research in Mathematical Sciences | 15 | |
MTHM021: Advanced Mathematics Project
In this module, you will gain experience of independent work by conducting in-depth research into an open-ended problem agreed with your Project Supervisor. A Good Research Practice portfolio (20%) recognises your professionalism and research performance, and your participation in the wider research, academic, or professional environment associated with your project. Partway through the project, you will present your work to date to a group of academics and fellow students in order to obtain feedback on your progress and to help guide the remainder of your study. This forms 10% of the assessment. At the end of the project, you will write a coherent and comprehensible account of your work in the form of a dissertation that forms 70% of the assessment. Computational work using appropriate software may form part of the Advanced Mathematics Project.
This module provides the opportunity for you to produce a well-researched project in mathematics, either complementing or extending material in the taught part of the programme. By taking this module, you will develop research skills, including literature review, problem formulation, analysis, and communication of mathematical results.
You will receive guidance on the responsible use of AI-assisted tools to support aspects of your research, report writing and presentation preparation, in line with University policy.
MTHM036: Research in Mathematical Sciences
This is a unique module that runs in several research themes and provides you with a taste for and experience in research in mathematical sciences. The themes are broadly aligned with Fourth Year options and would cover subjects from pure maths, applied maths and statistics, although the number and range of topics may change from year to year. Each theme consists of lectures, student-led discussion, reading, and practical sessions, getting deeper experience in research approaches and skills. Students will learn to write a short essay, make an oral presentation and write a longer scientific report.
Set in at least three distinct research themes, this module will introduce you to scientific thinking and abstraction and give you knowledge/experience in core research skills: reading (and understanding), writing and presenting for the mathematical sciences.
Optional modules
| Code | Module | Credits |
|---|---|---|
| Optional 1 | ||
| Methods for Stochastics and Finance | 15 | |
| Analysis and Computation for Finance | 15 | |
| Fractal Geometry | 15 | |
| Mathematical Theory of Option Pricing | 15 | |
| Engaging with Research | 15 | |
| Computational Modelling | 15 | |
| Advanced Topics in Mathematical and Computational Biology | 15 | |
| Representation Theory of Finite Groups | 15 | |
| Metric Number Theory and Diophantine Approximation | 15 | |
| AI and Data Science Methods for Life and Health Sciences | 15 | |
| Advanced Topics in Statistics | 15 | |
| Dynamical Systems and Chaos | 15 | |
| Fluid Dynamics of Atmospheres and Oceans | 15 | |
| Modelling the Weather and Climate | 15 | |
| Algebraic Number Theory | 15 | |
| Algebraic Curves | 15 | |
| Waves, Instabilities and Turbulence | 15 | |
| Magnetic Fields and Fluid Flows | 15 | |
| Statistical Modelling in Space and Time | 15 | |
| Space Weather and Plasmas | 15 | |
| Bayesian Statistics, Philosophy and Practice | 15 | |
| Ergodic Theory | 15 | |
| Fundamentals of Weather and Climate Science | 15 | |
| Mid-latitude Weather Systems | 15 | |
| Climate Change Science and Solutions | 15 | |
| Topics in Analytic Number Theory | 15 | |
| Data-driven Analysis and Modelling of Dynamical Systems | 15 | |
| Uncertainty Quantification | 15 | |
| Quantitative Methods and AI for Environmental Challenges | 15 | |
| Optional 2 | ||
| Nature-Inspired Computation | 15 | |
| Machine Learning | 15 | |
| Evolutionary Computation and Optimisation | 15 | |
| Computer Modelling and Simulation | 15 | |
| Computer Vision | 15 | |
| Introduction to Data Science | 15 | |
| Fundamentals of Data Science | 15 | |
| Learning from Data | 15 | |
| Social Networks and Text Analysis | 15 | |
| Machine Learning (Professional) | 15 | |
| High-Performance Computing | 15 | |
| Fundamentals of Security | 15 | |
| Building Secure and Trustworthy Systems | 15 | |
| Security Assessment and Validation | 15 | |
| Optional 3 | ||
| Number Theory | 15 | |
| Mathematical Biology and Ecology | 15 | |
| Fluid Dynamics | 15 | |
| Partial Differential Equations | 15 | |
| Applied Differential Geometry | 15 | |
| Mathematics: History and Culture | 15 | |
| Graphs, Networks and Algorithms | 15 | |
| Stochastic Processes | 15 | |
| Cryptography | 15 | |
| Statistical Inference | 15 | |
| Mathematics of Climate Change | 15 | |
| Galois Theory | 15 | |
| Computational Nonlinear Dynamics | 15 | |
| Topology and Metric Spaces | 15 | |
| Bayesian Statistics, Philosophy and Practice | 15 | |
| Integral Equations | 15 | |
| Statistical Computing | 15 | |
| Functional Analysis | 15 | |
Fees
2026/27 entry
UK fees per year:
- £12,900 full-time
- £6,450 part-time
International fees per year:
- £28,900 full-time
- £14,450 part-time
Scholarships
The University of Exeter offers a wide range of scholarships to support your education, with £7 million available for international students applying to study with us in the 2026/27 academic year, including our prestigious Exeter Excellence Scholarships. We also provide awards for sport, music and other achievements, as well as regional and partner scholarships with organisations such as Chevening, The Beacon Trust and the British Council. For more information on scholarships and other financial support, please visit our scholarships and bursaries page.
University of Exeter Alumni Scholarship
We are pleased to offer the University of Exeter Alumni Scholarship, a scholarship for University of Exeter alumni beginning a standalone postgraduate programme in 2026/27 with us a scholarship worth 20% of the cost of your first year tuition fees.
Terms and conditions, including deadlines, apply.
The staff are really friendly and the lecturers are really approachable. The course is really interesting and whatever topic I have wanted to learn, we have done at Exeter.
My course will help me to find a job because the modules have been so broad I will have so many transferable skills and the links with industry are great. Being an international student is fun, I've met a lot of other international students and people are really approachable which has meant I’ve made a lot of friends and met people to study with, as well as practising my English skills.
Yunice
MSc Mathematics
Teaching and research
We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries and new technologies in seminars and in the field and you will become actively involved in a research project yourself. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will also be taught by leading industry practitioners.
Assessment
Modules are either assessed by coursework only, or a mixture of coursework and an exam. For detailed information on assessment see the module descriptors in the programme structure.
Careers
The University of Exeter has an established reputation of training tomorrow's great minds to a high standard, so when it comes to life after graduation you can be confident that you are starting your next professional adventure in a prime, leading position. All programmes are designed so you not only get a second to none education in your area of choice, but you also are equipped with the correct vocational skills to achieve success in the working world or in further study.
Dedicated careers support
You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the Career Zone for additional information on their services.
