MMath Mathematics and Statistics
Entry requirements
A level: A*AA including A* in Mathematics or Further Mathematics A-level. Further Mathematics is preferred but not essential. When the Further Maths A-level is taken it will be included in the offer
About this course
MMath in Mathematics and Mathematics and Statistics. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Financial Analysis, Accounting, and Artificial Intelligence & Machine Learning. The programme includes a staff-supervised mathematical project in the final year.
Modules
- Linear Algebra
- Real Analysis
- Mathematical Foundations & Analysis
- Mathematical Problem Solving
- Introduction to Vector Calculus
- ODEs and Applications
- Probability I
- Statistics I
- Mathematical Communication and Group Projects
- Practical Statistics
- Linear Regression Models
- Stochastic Processes
- Probability and Statistics 2
- Fundamentals of Financial Reporting B
- Fundamentals of Management Accounting
- Introduction to Corporate Finance and Financial Instruments
- Technology, Strategy and Innovation
- New Product Development and Innovation
- Marketing
- Logic and Modelling
- Introduction to AI
- Teaching and Learning of Mathematics
- Science & the Modern World
- Foundations of finance: Investments and the time and value of money
- Principles of Mathematical Modelling
- Introduction to Financial Mathematics
- Metric Spaces
- Rings & Fields
- Groups and Geometry
- Numerical Analysis 1
- Fluid Mechanics
- Partial Differential Equations & Vector Calculus
- Critical Thinking
- Formal Logic
- Introduction to Corporate Finance and Financial Instruments
- Technology, Strategy and Innovation
- New Product Development and Innovation
- Marketing
- Management of Knowledge and Innovation
- Financial Derivatives
- Financial Engineering
- Logic and Modelling
- Introduction to AI
- Giving Meaning to Programs
- Teaching and Learning of Mathematics
- Theories of Equity in Education
- Educational Leadership
- Independent Study and Technical Explanations
- The Nuclear Age: Global Nuclear Threats from Hiroshima to Today
- Double Project
- Mathematics Education
- Project (Semester One)
- Project (Semester 2)
- Topology and Analysis
- Analysis and Geometry in Affine Space
- Differential Geometry of Curves and Surfaces
- Advanced Algebra
- Coding Theory
- Hyperbolic Geometry
- Algebraic Geometry
- Number Theory
- Combinatorics and Graph Theory
- Mathematical Logic
- Complex Analysis&Applications
- Wave Motion
- Elasticity and Viscous Fluid Dynamics
- Mathematical Biology
- Methods of Applied Mathematics
- Mathematics of a Finite Planet
- Matrix Analysis
- Numerical Analysis 2
- Problem Solving by Computer
- Mathematics and Applications of Machine Learning
- Martingales with Applications to Finance
- Markov Processes
- Foundations of Modern Probability
- Tools for Risk Management
- Time Series Analysis
- Medical Statistics
- Multivariate Statistics and Machine Learning
- Generalised Linear Models
- Mathematical Modelling in Finance
- Mortality Modelling in Insurance
- Stochastic Calculus
- Brownian Motion
- Martingale Theory
- Time Series Analysis and Forecasting
- Multivariate Statistics
- Design and Analysis of Experiments
- Longitudinal and Spatial Data Analysis
- Statistical Theory
- Bayesian Statistics
- Statistical Machine Learning
- Advanced Regression Methods
- Tools and Techniques for Enterprise
- Advanced Technology Enterprise
- Interdisciplinary Sustainable Development
- Formal Logic
- Topology and Analysis
- Analysis and Geometry in Affine Space
- Differential Geometry of Curves and Surfaces
- Advanced Algebra
- Coding Theory
- Hyperbolic Geometry
- Algebraic Geometry
- Number Theory
- Combinatorics and Graph Theory
- Mathematical Logic
- Complex Analysis&Applications
- Wave Motion
- Elasticity and Viscous Fluid Dynamics
- Mathematical Biology
- Methods of Applied Mathematics
- Mathematics of a Finite Planet
- Matrix Analysis
- Numerical Analysis 2
- Problem Solving by Computer
- Mathematics and Applications of Machine Learning
- Martingales with Applications to Finance
- Markov Processes
- Foundations of Modern Probability
- Tools for Risk Management
- Time Series Analysis
- Medical Statistics
- Multivariate Statistics and Machine Learning
- Generalised Linear Models
- Mathematical Modelling in Finance
- Mortality Modelling in Insurance
- Double Project
- Project (Semester 1)
- Project (Semester 2)
- Computational Finance
- Measure Theory and Ergodic Theory
- Differentiable Manifolds
- Algebraic Topology
- Riemann Surfaces
- Lie Algebras
- Galois Theory
- Algebraic Number Theory
- Graph Theory
- Representation Theory
- Computation and Complexity
- Category Theory
- Model Theory
- Dynamical Systems
- Introduction to Uncertainty Quantification
- Advanced Uncertainty Quantification
- Mathematical Methods for PDE's
- Stability Theory
- Continuum Mechanics
- Transport Phenomena and Conservation Laws
- Approximation Theory and Finite Element Analysis
- Numerical Optimisation & Inverse Problems
- Stochastic Calculus
- Brownian Motion
- Martingale Theory
- Time Series Analysis and Forecasting
- Multivariate Statistics
- Design and Analysis of Experiments
- Longitudinal and Spatial Data Analysis
- Statistical Theory
- Bayesian Statistics
- Statistical Machine Learning
- Advanced Regression Methods
- Stochastic Modelling in Finance
- Scientific Computing