Mathematics, Operational Research, Statistics and Economics
About this course
Master of Mathematics, Operational Research, Statistics and Economics in Mathematics and Mathematics, Operational Research, Statistics and Economics and Business and Management, an undergraduate degree centred on mathematical and computational approaches to economic, financial and operational systems. Core topics include Programming, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, Project Management, Financial Analysis, Accounting. A student's entry qualifications determine the specific core modules required, and the programme includes a compulsory third-year mathematics project alongside a dedicated two-semester research project in the fourth year. The first year covers core foundations through Linear Algebra II, while the second year introduces modules such as Analysis, Econometrics with Big Data, and Partial Differential Equations. In the third year, students study compulsory modules including Mathematical Programming and Mathematics Project. Optional modules across the degree allow specialisation in areas such as Actuarial Mathematics I, Futures and Options, Statistical Inference, and Financial Risk Management with AI.
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.
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What students say
Based on about 13 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 78%
- Learning opportunities: 78%
- Assessment and feedback: 82%
- Academic support: 81%
- Organisation and management: 83%
- Learning resources: 89%
- Student voice: 80%
Do students stay on the course?
Based on about 640 students who started, across similar courses at this university
- Continued on course: 96%
- Left higher education: 4%
What graduates do next
Based on about 87 graduates who answered, across similar courses at this university
- Working: 71%
- Working and studying: 17%
- Further study: 3%
- Unemployed: 4%
Most common jobs
- Finance Professionals: 20%
- Business, Research and Administrative Professionals: 15%
- Teaching Professionals: 10%
- Business and public service associate professionals: 10%
- Administrative occupations: 5%
- Find their work meaningful: 76%
- Feel on track for their future plans: 76%
- Use what they learnt on the course: 55%
Where graduates work (5 years on)
Based on about 200 graduates, across similar courses at this university
- North West: 1%
- Yorkshire and the Humber: 1%
- East Midlands: 1%
- West Midlands: 2%
- East of England: 7%
- London: 36%
- South East: 43%
- South West: 8%
- Northern Ireland: 1%
Who gets in
Based on about 25 students who started (a small group: a rough guide only)
- A levels: 85%
- Foundation course: 5%
- A degree: 5%
- Other HE qualification: 5%
Accreditation & quality ratings
- Accredited by the Institute and Faculty of Actuaries for the purpose of exemption from some professional examinations.
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Linear Algebra II
- Foundations of Microeconomics
- Analysis
- Econometrics with Big Data
- Partial Differential Equations
- Dynamic Macroeconomics
- Group Theory
- Introduction to Management
- Operations Management
- Mathematical Programming
- Mathematics Project
- Accounting and Finance for Non-Specialists
- Actuarial Mathematics I
- Actuarial Mathematics II
- Advanced Fluid Dynamics
- Advanced Partial Differential Equations
- Algebraic Topology
- Complex Analysis
- Design and Analysis of Experiments
- Further Number Theory and Cryptography
- Futures and Options
- Galois Theory
- Graph Theory
- Hilbert Spaces
- Integral Transform Methods
- International Banking
- Mathematical Biology
- Mathematical Finance
- Numerical Methods
- Optimization
- Project Management
- Relativity, Black Holes and Cosmology
- Statistical Inference
- Statistical Methods in Insurance
- Statistical Modelling II
- Structure and Dynamics of Networks
- Survival Models
- Topics in Macroeconomics
- MMath Project
- Accounting and Finance for Actuarial Science
- Actuarial Mathematics I
- Actuarial Mathematics II
- Computer-based statistical modelling
- Corporate Finance
- Corporate Finance 1
- Corporate Valuation and Strategy
- Design of Experiments
- Financial Mathematics
- Financial Risk Management with AI
- Forecasting
- Household Finance
- Industrial Economics
- Macroeconomics
- Mathematical Finance
- Microeconomics
- Project Risk Management
- Quantitative Finance
- Quantitative Methods
- Stochastic Processes
Questions about this course
How much do graduates of Mathematics, Operational Research, Statistics and Economics at University of Southampton earn?
The median salary is £32,000 after 15 months, £31,500 after 3 years, £43,000 after 5 years. After five years the middle half of graduates earn between £33,000 and £56,500. The £43,000 median after five years is £3,500 more than the UK median for Mathematics.
What do graduates of Mathematics, Operational Research, Statistics and Economics at University of Southampton do next?
92% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on Mathematics, Operational Research, Statistics and Economics at University of Southampton?
78% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for Mathematics, Operational Research, Statistics and Economics at University of Southampton?
The average entrant had 145 UCAS points.
Is Mathematics, Operational Research, Statistics and Economics at University of Southampton accredited?
Yes. Accredited by the Institute and Faculty of Actuaries for the purpose of exemption from some professional examinations.
How many students continue on Mathematics, Operational Research, Statistics and Economics at University of Southampton?
96% of students continued into their second year, and 4% left higher education.