Mathematics
Entry requirements
A level: AAA - AAB (specific subject requirements) BTEC: BTEC qualifications in relevant disciplines are considered in combination with other qualifications, including grade A in A-level mathematics, or equivalent IB: 17 at Higher Level including 6 in Higher Level Mathematics (Mathematics: Analytics and Approaches is preferred).
About this course
MMath, BSc in Mathematics, a mathematics degree centred on analytical reasoning and advanced problem-solving within the field of mathematics. Core topics include Statistics and Mathematical Modelling. This four-year integrated Master's programme culminates in a substantial final-year project and assignment. The first year establishes core foundations through modules such as Core Mathematics, Real Analysis, Computational Mathematics and Modelling, Introduction to Group Theory, Dynamics and Motion, and Probability and Statistics. The second year introduces further analytical techniques through compulsory studies in Investigations in Mathematics, Further Linear Algebra and Discrete Mathematics, and Vector Calculus and Partial Differential Equations, alongside optional modules covering topics such as Pure and Applied Mathematics, Pure Mathematics and Statistics, Applied Mathematics and Statistics, Calculus, Curves and Complex Analysis, Mathematical Modelling, Introduction to Logic, Optimisation, Rings and Polynomials, Calculus of Variations, Statistical Methods, Stochastic Processes, and Time Series. In the third year, students complete a compulsory Project in Mathematics while choosing from optional areas including Groups and Symmetry, Methods of Applied Mathematics, Metric Spaces and Measure Theory, Computational Applied Mathematics, Numbers and Codes, Proof and Computation, Entropy and Quantum Mechanics, Fluid Dynamics, Mathematics in Social Context C, Graph Theory and Combinatorics, Differential Geometry, Mathematical Biology, Nonlinear Dynamical Systems and Chaos, Statistical Modelling, Actuarial Mathematics 1, Stochastic Calculus and Derivative Pricing, Multivariate Analysis and Classification, and Actuarial Mathematics 2. The fourth year requires an Assignment in Mathematics and offers advanced optional modules such as Topology, Models and Sets, Functional Analysis and its Applications, Evolutionary Modelling, Advanced Mathematical Methods, Astrophysical and Geophysical Fluids, Riemannian Geometry, Algebras and Representations, Environmental and Industrial Flows, Classical and Quantum Hamiltonian Systems, Statistical Theory, Statistical Computing, and Advanced Statistical Modelling.
Modules
- Core Mathematics
- Real Analysis
- Computational Mathematics and Modelling
- Introduction to Group Theory
- Dynamics and Motion
- Probability and Statistics
- Investigations in Mathematics
- Further Linear Algebra and Discrete Mathematics
- Vector Calculus and Partial Differential Equations
- Pure and Applied Mathematics
- Pure Mathematics and Statistics
- Applied Mathematics and Statistics
- Calculus, Curves and Complex Analysis
- Mathematical Modelling
- Introduction to Logic
- Optimisation
- Rings and Polynomials
- Calculus of Variations
- Statistical Methods
- Stochastic Processes
- Time Series
- Project in Mathematics
- Groups and Symmetry
- Methods of Applied Mathematics
- Metric Spaces and Measure Theory
- Computational Applied Mathematics
- Numbers and Codes
- Proof and Computation
- Entropy and Quantum Mechanics
- Fluid Dynamics
- Mathematics in Social Context C
- Graph Theory and Combinatorics
- Differential Geometry
- Mathematical Biology
- Nonlinear Dynamical Systems and Chaos
- Statistical Modelling
- Actuarial Mathematics 1
- Stochastic Calculus and Derivative Pricing
- Multivariate Analysis and Classification
- Actuarial Mathematics 2
- Assignment in Mathematics
- Topology
- Models and Sets
- Functional Analysis and its Applications
- Evolutionary Modelling
- Advanced Mathematical Methods
- Astrophysical and Geophysical Fluids
- Riemannian Geometry
- Algebras and Representations
- Environmental and Industrial Flows
- Classical and Quantum Hamiltonian Systems
- Statistical Theory
- Statistical Computing
- Advanced Statistical Modelling