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MMath Mathematics

University of Southampton

About this course

Master of Mathematics in Mathematics, a mathematics degree centred on advanced mathematical and statistical concepts. Core topics include Programming, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Project Management, Environmental Analysis, and Artificial Intelligence & Machine Learning. The programme shares its first three years with related mathematics degrees and features compulsory individual research projects in the third and fourth years. The first year covers foundational methods through compulsory modules including Calculus I, Calculus II, Computational Mathematics, and Linear Algebra I. The second year progresses into specialized areas with compulsory modules such as Analysis and Partial Differential Equations, alongside optional modules including Algorithms, Financial Mathematics, and Fundamentals of Data Science in R. In the third year, students undertake a compulsory Mathematics Project alongside advanced optional studies in fields such as Machine Learning, Mathematical Biology, and Quantum Information. The fourth year centers on an MMath Project and advanced study options encompassing modules like Advanced General Relativity, Data Mining and Analytics, and Differential Geometry and Lie Groups.

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.

Institution
University of Southampton
Level
undergraduate
Subject
Mathematics
Duration
4 years
UCAS code
G103
Typical offer
A-level AAA, IB 36
Median salary
£42,500 after 5 years

Entry requirements

A level: AAA or AABB including Mathematics (grade A) IB: Pass, with 36 points overall with 18 at Higher Level, including 6 points from Higher Level Mathematics (Preferred Mathematics module is Analysis and Approaches, but Applications and Interpretation also considered)

See the highest paying Mathematics degrees in the UK →

Real offers for this course

Applicants have posted 1 UCAS decision for MMath Mathematics (G103) at the University of Southampton for 2027 entry so far. The published offer is AAA at A level.

All 88 posts for University of Southampton

What students say

Based on about 8 final-year students who answered (a small group: a rough guide only)

  • Teaching on my course: 94%
  • Learning opportunities: 88%
  • Assessment and feedback: 77%
  • Academic support: 100%
  • Organisation and management: 96%
  • Learning resources: 100%
  • Student voice: 92%

Do students stay on the course?

Based on about 20 students who started (a small group: a rough guide only)

  • Continued on course: 100%

What graduates do next

Based on about 13 graduates who answered (a small group: a rough guide only)

  • Working: 55%
  • Working and studying: 10%
  • Further study: 25%
  • Unemployed: 5%

Most common jobs

  • Information Technology Professionals: 20%
  • Finance Professionals: 20%
  • Business and public service associate professionals: 20%
  • Sales occupations: 10%
  • Teaching Professionals: 10%
  • Find their work meaningful: 75%
  • Feel on track for their future plans: 65%
  • Use what they learnt on the course: 50%

Where graduates work (5 years on)

Based on about 195 graduates, across similar courses at this university

  • North East: 1%
  • East Midlands: 2%
  • West Midlands: 3%
  • East of England: 9%
  • London: 27%
  • South East: 42%
  • South West: 14%
  • Wales: 2%
  • Scotland: 1%

Who gets in

Based on about 15 students who started (a small group: a rough guide only)

  • A levels: 95%
  • Baccalaureate: 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

  • Calculus I
  • Calculus II
  • Computational Mathematics
  • Core Skills for Mathematicians I
  • Dynamics and Relativity
  • First Year Mathematics Workshop
  • Introduction to Statistics
  • Linear Algebra I
  • Linear Algebra II
  • Number Theory
  • Analysis
  • Core Skills for Mathematicians II
  • Partial Differential Equations
  • Algorithms
  • Fields and Fluids
  • Financial Mathematics
  • Fundamentals of Data Science in R
  • Geometry and Topology
  • Graph Theory
  • Group Theory
  • Introduction to Operational Research
  • Numerical Analysis
  • Statistical Inference
  • Statistical Modelling I
  • Stochastic Processes
  • Vector Calculus and Complex Variable Theory
  • Mathematics Project
  • Actuarial Mathematics I
  • Actuarial Mathematics II
  • Advanced Fluid Dynamics
  • Advanced Partial Differential Equations
  • Algebraic Topology
  • Complex Analysis
  • Complex and Integral Transform Methods
  • Computational Statistical Inference
  • Design and Analysis of Experiments
  • Further Number Theory and Cryptography
  • Galois Theory
  • Geometry and Data
  • Hilbert Spaces
  • Infinite Groups
  • Learning and Teaching Mathematics
  • Machine Learning
  • Mathematical Biology
  • Mathematical Finance
  • Mathematical Programming
  • Numerical Partial Differential Equations
  • Optimization
  • Project Management
  • Relativity, Black Holes and Cosmology
  • Statistical Methods in Insurance
  • Statistical Modelling II
  • Structure and Dynamics of Networks
  • Survival Models
  • MMath Project
  • Actuarial Mathematics I
  • Actuarial Mathematics II
  • Advanced General Relativity
  • Advanced Operational Research Methods
  • Advanced Partial Differential Equations
  • Complex And Integral Transform Methods
  • Computational Machine Learning and Optimisation
  • Data Mining and Analytics
  • Design of Experiments
  • Differential Geometry and Lie Groups
  • Financial Mathematics
  • Flexible Regression
  • Geometric Group Theory
  • Gravitational Waves
  • Harmonic Analysis and Quantum Information
  • Homotopy and Homology
  • Hyperbolic Geometry
  • Introduction to Semigroup Theory
  • Machine Learning
  • Modelling with Differential Equations
  • Modules and Representations
  • Numerical Partial Differential Equations
  • Structure and Dynamics of Networks

Questions about this course

How much do graduates of MMath Mathematics at University of Southampton earn?

The median salary is £33,000 after 15 months, £32,000 after 3 years, £42,500 after 5 years. After five years the middle half of graduates earn between £31,500 and £55,000. The £42,500 median after five years is £3,000 more than the UK median for Mathematics.

What do graduates of MMath Mathematics at University of Southampton do next?

90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).

Are students happy with the teaching on MMath Mathematics at University of Southampton?

94% of final-year students were positive about the teaching in the National Student Survey 2025-26.

What grades do I need for MMath Mathematics at University of Southampton?

The typical offer is AAA at A level, or 36 points in the IB. The average entrant had 166 UCAS points.

Is MMath Mathematics 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 MMath Mathematics at University of Southampton?

100% of students continued into their second year, and 0% left higher education.