MMath Mathematics
Entry requirements
A level: AAA (A in Maths)
About this course
MMath in Mathematics. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The four-year programme builds upon the BSc Mathematics and offers advanced modules in areas such as Knot Theory, Measure Theory, and Algebraic Topology, alongside a final-year project component.
Modules
- Computing for Mathematics
- Foundations of Mathematics I
- Foundations of Mathematics II
- Linear and Differential Equations
- Probability and Statistics
- Mathematical Creativity and Geometry
- Linear Algebra and Multivariable Calculus
- Real Analysis
- Probability Theory and Stochastic Simulation
- Modern Mathematical Computing
- Abstract Algebra
- Mechanics
- Operational Research
- Introduction to Functional and Fourier Analysis
- Algebraic Topology
- Differential Geometry of Curves and Surfaces
- Introduction to Number Theory 2
- Algebra II: Rings
- Algebra III: Fields
- Measure Theory
- Complex Analysis and Functional Series
- Knot Theory
- Theori Clymau
- Methods of Applied Mathematics
- Fluid Dynamics
- Solid Mechanics
- Stochastic Processes for Finance and Insurance
- Statistical Modelling
- Time Series
- Big Data Technologies
- Algorithms and Heuristics
- Optimisation
- Game Theory
- Algorithmau a Dulliau Hewristig / Algorithms and Heuristics
- Mathematics of AI and Deep Learning
- Developing Mathematics Teachers for Future Generations
- MMath Project
- Lie Algebras
- Spectral Theory and Applications
- Quantum Information Theory
- Calculus of Variations
- Advanced Topics in Analysis: Sobolev Spaces and Elliptic PDEs
- Mathematical Biology
- Time Series
- Statistical Programming with R and Shiny
- Stochastic Search and Optimisation
- Healthcare Modelling
- Reading Module