MMath Mathematics
Entry requirements
A level: AAB IB: 34 points
About this course
MMath Honours in Mathematics, a four-year integrated Master's programme covering pure, applied, and statistical mathematics. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Financial Analysis, and Artificial Intelligence & Machine Learning. The programme holds professional accreditation and concludes with a research project on a topic chosen by the student. Final-year students select from advanced modules including General Relativity, Functional Analysis, and Lie Groups.
Modules
- Introductory Algebra
- Real Analysis
- Introduction to Probability and Statistics
- Logic, Sets and Counting
- Number Systems
- Problem Solving with Python
- Introductory Calculus and Differential Equations
- Multivariable Calculus
- Dynamics
- Linear Algebra
- Complex Analysis
- Groups and Rings
- Statistical Inference
- Probability
- Regression
- Vector Calculus
- Differential Equations, Transforms and Waves
- Fluid Dynamics I
- Frontiers in Data Science A
- Curves and Surfaces
- Coding Theory
- Numerical Methods with Python
- Stochastic Processes
- Data Visualisation
- Principles of Quantum Mechanics
- Mathematical Biology
- Mathematical & Skills Group Project
- Clinical Trials
- Decision Modelling for Health Data Science
- Topics in Medical Statistics and Health Data Science
- Curves and Surfaces
- Coding Theory
- Numerical Methods with Python
- Global Education in Mathematics and Statistics
- Group Theory
- Linear Analysis
- Matrix Analysis
- Metric Spaces and Topology
- Number Theory and Cryptography
- Matrix Representations of Groups
- Stochastic Financial Modelling
- Experimental Design
- Foundations of Machine Learning
- Extreme Value Theory
- Time Series
- Survival Analysis
- Statistical Genetics
- Mathematical Statistics
- Statistical Modelling
- Bayesian Statistics and Decision Theory
- Markov Processes
- Principles of Quantum Mechanics
- Mathematical Biology
- Advanced Quantum Mechanics
- Classical Fields
- Quantum Information
- Methods for Differential Equations
- Fluid Dynamics II
- Relativity and Fundamental Particles
- Hydrodynamic and Climate Instabilities
- Variational Methods and Lagrangian Dynamics
- Career Development for final year students
- MMath Project
- Clinical Trials with Advanced Topics
- Decision Modelling for Health Data Science with Advanced Topics
- Advanced Topics in Medical Statistics and Health Data Science
- Classical Fields
- Foundations of Machine Learning with Advanced Topics
- Experimental Design with Advanced Topics
- Extreme Value Theory with Advanced Topics
- Survival Analysis with Advanced Topics
- Time Series with Advanced Topics
- Stochastic Financial Modelling with Advanced Topics
- Statistical Genetics with Advanced Topics
- Markov Processes with advanced topics
- Group theory
- Linear analysis
- Matrix analysis
- Metric Spaces and Topology
- Number Theory & Cryptography
- Matrix Representations of Groups
- Functional Analysis
- Lie Groups and Lie Algebras
- Methods for Differential Equations
- Relativity and Fundamental Particles
- Hydrodynamic and Climate Instabilities
- Variational Methods and Lagrangian Dynamics
- Geophysical & Astrophysical Fluids
- General Relativity
- Quantum Fluids