Mathematics, Operational Research, Statistics and Economics
About this course
Master of Mathematics, Operational Research, Statistics and Economics in Mathematics and Mathematics, Operational Research, Statistics and Economics and Business and Management, an undergraduate degree centred on mathematical and computational approaches to economic, financial and operational systems. Core topics include Programming, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, Project Management, Financial Analysis, Accounting. A student's entry qualifications determine the specific core modules required, and the programme includes a compulsory third-year mathematics project alongside a dedicated two-semester research project in the fourth year. The first year covers core foundations through Linear Algebra II, while the second year introduces modules such as Analysis, Econometrics with Big Data, and Partial Differential Equations. In the third year, students study compulsory modules including Mathematical Programming and Mathematics Project. Optional modules across the degree allow specialisation in areas such as Actuarial Mathematics I, Futures and Options, Statistical Inference, and Financial Risk Management with AI.
Modules
- Linear Algebra II
- Foundations of Microeconomics
- Analysis
- Econometrics with Big Data
- Partial Differential Equations
- Dynamic Macroeconomics
- Group Theory
- Introduction to Management
- Operations Management
- Mathematical Programming
- Mathematics Project
- Accounting and Finance for Non-Specialists
- Actuarial Mathematics I
- Actuarial Mathematics II
- Advanced Fluid Dynamics
- Advanced Partial Differential Equations
- Algebraic Topology
- Complex Analysis
- Design and Analysis of Experiments
- Further Number Theory and Cryptography
- Futures and Options
- Galois Theory
- Graph Theory
- Hilbert Spaces
- Integral Transform Methods
- International Banking
- Mathematical Biology
- Mathematical Finance
- Numerical Methods
- Optimization
- Project Management
- Relativity, Black Holes and Cosmology
- Statistical Inference
- Statistical Methods in Insurance
- Statistical Modelling II
- Structure and Dynamics of Networks
- Survival Models
- Topics in Macroeconomics
- MMath Project
- Accounting and Finance for Actuarial Science
- Actuarial Mathematics I
- Actuarial Mathematics II
- Computer-based statistical modelling
- Corporate Finance
- Corporate Finance 1
- Corporate Valuation and Strategy
- Design of Experiments
- Financial Mathematics
- Financial Risk Management with AI
- Forecasting
- Household Finance
- Industrial Economics
- Macroeconomics
- Mathematical Finance
- Microeconomics
- Project Risk Management
- Quantitative Finance
- Quantitative Methods
- Stochastic Processes