MMath Mathematics
Entry requirements
A level: Standard entry requirements*: Year 1 entry: BBB (Maths B) Year 2 entry: ABB (Maths A) IB: Standard entry requirements*: Year 1 entry: 30 (Mathematics HL5) Year 2 entry: 32 (Mathematics HL6)
About this course
MMath in Mathematics, an integrated Master's degree with advanced study beyond Honours level. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The degree is accredited by the Royal Statistical Society with an option to graduate with an MMath Mathematics & Statistics degree.
Modules
- Mathematical Foundations
- Calculus 1
- Introduction to Geometry & Algebra
- Mathematics in Society
- Essential Statistics
- Data Analysis & Presentation
- Linear Algebra & Differential Equations
- Advanced Calculus
- Applicable Analysis
- Probability & Statistical Inference
- Applications of Mathematical Modelling
- Mathematical & Statistical Computing
- Applied Linear Algebra
- Regression Modelling
- Partial Differential Equations
- Mathematical Modelling: Dynamics & Applications
- Algebraic Structures
- Game Theory & Applications
- Statistical Inference
- Experimental Design
- Survey Design & Analysis
- Stochastic Processes
- Applicable Analysis 2
- Numerical Analysis
- Communicating Mathematics & Statistics
- Modelling & Simulation with Applications to Financial Derivatives
- Applicable Analysis 3
- Statistical Modelling & Analysis
- Finite Element Methods for Boundary Value Problems & Approximations
- Applied Statistics in Society
- Mathematical Biology & Marine Population Modelling
- Mathematical Introduction to Networks
- Medical Statistics
- Project
- Optimisation: Theory
- Effective Statistical Consultancy
- Multivariate Analysis
- Quantitative Risk Analysis
- Spatial Statistics
- Data dashboards with RShiny
- Statistical Machine Learning
- Mathematics of Machine Learning
- Applied Analysis & PDEs 1
- Applied Mathematics Methods 1
- Numerical & Deep Learning Methods for Partial Differential Equations
- Optimisation for Analytics