MMath Mathematics
Entry requirements
A-Levels: AAA-AAB IB: 36/666-34/665 BTEC: DDD
About this course
MMath in Mathematics, a mathematics degree focused on advanced mathematical theory and applications. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Artificial Intelligence & Machine Learning. The programme provides options for an independent research project, a summer professional experience placement, and a semester of study abroad at an international partner institution. The first year establishes foundational concepts through compulsory modules such as Foundations, Mathematical Structures, Mathematical Methods, Mathematical Modelling, and Probability, Statistics and Data. The second year introduces choices in analytical and computational subjects including Differential Equations, Real Analysis, Linear Algebra, and Mathematics of Machine Learning and AI. Subsequent stages offer a broad selection of advanced optional study spanning topics like Number Theory, Cryptography, Fluid Dynamics, and Stochastic Processes. Students also undertake core research training via the Research in Mathematical Sciences module.
Modules
- Foundations
- Mathematical Structures
- Mathematical Methods
- Mathematical Modelling
- Probability, Statistics and Data
- Differential Equations
- Vector Calculus and Applications
- Real Analysis
- Complex Analysis
- Groups, Rings and Fields
- Linear Algebra
- Statistical Modelling and Inference
- Numerical Modelling
- Mathematics of Machine Learning and AI
- Research in Mathematical Sciences
- Theory of Weather and Climate
- Number Theory
- Mathematical Biology and Ecology
- Fluid Dynamics
- Partial Differential Equations
- Applied Differential Geometry
- Mathematics: History and Culture
- Graphs, Networks and Algorithms
- Stochastic Processes
- Cryptography
- Statistical Inference
- Mathematics of Climate Change
- Galois Theory
- Computational Nonlinear Dynamics
- Topology and Metric Spaces
- Bayesian Statistics, Philosophy and Practice
- Integral Equations
- Statistical Computing
- Dynamical Systems and Chaos
- Statistical Data Modelling
- Commercial and Industrial Experience
- Aerosols, Clouds and Climate
- Semester of Mathematical Studies Abroad
- Professional Experience