MMath Mathematics
Entry requirements
A level: AAA including A in Mathematics AAB including A in Mathematics and A in Further Mathematics AAB including A in Mathematics and A in Further Mathematics at AS level IB: 36 points overall, including 6 in Mathematics at Higher Level (either Analysis and Approaches or Applications and Interpretations) BTEC: DDD plus grade A in A level Mathematics (or equivalent qualification) We consider a range of BTEC qualifications equivalent to 3 A Levels, or in combination with A Levels or other qualifications. For example: Distinction, Distinction in BTEC Level 3 National Diploma plus A in A Level Mathematics Distinction in BTEC Level 3 National Extended Certificate plus AA at A level including Mathematics Distinction, Distinction in 2 BTEC Level 3 National Extended Certificates plus A in A Level Mathematics
About this course
MMath (Hons) Mathematics, a mathematics degree focused on advanced analytical concepts and research methods. Core topics include Programming, Data Analysis, Statistics, and Mathematical Modelling. This four-year degree is accredited by the Institute of Mathematics and its Applications. The first year covers core foundations through modules such as Foundations and Calculus, Introduction to Probability and Statistics, Introduction to Pure Mathematics, and Mathematical Programming and Skills. The second year introduces further topics via Vector and Complex Calculus and Linear Algebra, alongside optional modules in algebra, dynamics, and probability. In the third and fourth years, students undertake an Extended Independent Project and choose from a broad range of advanced optional modules spanning pure mathematics, applied mathematics, mathematical finance, and statistical data science.
Modules
- Foundations and Calculus
- Introduction to Probability and Statistics
- Introduction to Pure Mathematics
- Multivariable Calculus and Matrices
- Introduction to Applied Mathematics
- Mathematical Programming and Skills
- Vector and Complex Calculus
- Linear Algebra
- Groups, Rings and Fields
- Metric Spaces
- Classical Dynamics
- Quantum and Continuum Dynamics
- Probability and Markov Chains
- Statistical Inference and Linear Models
- Extended Independent Project
- Statistical Data Science
- Communicating Mathematics in Education
- Cryptography
- Operations Research
- Numerical Analysis
- Groups, Actions and Galois Theory
- Measure and Integration
- Topology
- Differential Geometry
- Number Theory
- Lie Theory
- Semigroup Theory
- Prime Numbers & their Distribution
- Riemann Surfaces & Algebraic Curves
- Mathematical Modelling: Nonlinearity, Uncertainty and Computational Methods
- Partial Differential Equations
- Quantum Theory and Quantum Information
- Fluids
- Mathematical Ecology, Epidemiology and Evolution
- Quantum Mechanics
- Relativity
- Survival Analysis and Generalised Linear Models
- Decision Theory and Bayesian Statistics
- Mathematical Finance in Discrete Time
- Mathematical Finance in Continuous Time
- Advanced Regression and Multivariate Analysis
- Time Series
- Extended Independent Project
- Lie Theory
- Riemann Surfaces and Algebraic Curves
- Differential Geometry
- Number Theory
- Topology
- Measure & Integration
- Prime Numbers & their Distribution
- Directed Learning in Mathematics
- Frontiers in Mathematics
- General Relativity
- Quantum Field Theory
- Partial Differential Equations
- Mathematical Modelling: nonlinearity, uncertainty, and computational methods
- Mathematical Ecology, Epidemiology and Evolution
- Fluids
- Quantum Theory & Quantum Information
- Decision Theory and Bayesian Statistics
- Survival Analysis and Generalised Linear Models
- Mathematical Finance in Discrete Time
- Mathematical Methods of Finance
- Computational Finance with Python
- Interest Rate Modelling
- Advanced Regression and Multivariate Analysis
- Stochastic Calculus and Black-Scholes Theory
- Time Series
- Statistical Data Science