MSci Mathematics with Economics
Entry requirements
A-Levels: AAA-AAB IB: 36/666-34/665 BTEC: DDD
About this course
MSci in Mathematics with Economics, an integrated master's degree in mathematics and economics. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Jointly delivered by the mathematics department and the business school, the programme includes an option to complete a year in industry placement and features a supervised research-led project in the final year. The first year establishes core competencies through compulsory modules such as Economics I, Foundations, Mathematical Methods, and Probability, Statistics and Data. The second year advances quantitative study with modules including Microeconomics II and Differential Equations, alongside optional subjects like Vector Calculus and Applications and Mathematics of Machine Learning and AI. In subsequent years, students can tailor their studies through numerous advanced options spanning finance, economic theory, and specialized mathematics, alongside the Commercial and Industrial Experience module and the Research in Mathematical Sciences module.
Modules
- Economics I
- Economics II
- Foundations
- Mathematical Structures
- Mathematical Methods
- Probability, Statistics and Data
- Microeconomics II
- Differential Equations
- Vector Calculus and Applications
- Statistical Modelling and Inference
- Real Analysis
- Complex Analysis
- Groups, Rings and Fields
- Linear Algebra
- Mathematics of Machine Learning and AI
- Research in Mathematical Sciences
- Law and Economics
- Futures and Options
- Financial Markets and Decisions 2
- International Political Economy
- International Economics
- Public Economics 1
- Behaviour, Decisions and Markets
- Development Economics
- Economic Growth
- Advanced Mathematics for Economists
- Labour Economics
- Political Economics
- Economics of Management Strategy
- Machine Learning for Economics
- Behavioural Economics: Theory and Practice
- Economic Analysis and Pandemics
- Applied Econometrics for Business
- Economics of Culture and Institutions
- Economics of Crime
- Environmental Economics and Sustainability
- Health Economics
- Industrial Organisation
- Theory of Weather and Climate
- Number Theory
- Mathematical Biology and Ecology
- Fluid Dynamics
- Partial Differential Equations
- Applied Differential Geometry
- Mathematics: History and Culture
- Graphs, Networks and Algorithms
- Stochastic Processes
- Dynamical Systems and Chaos
- Statistical Data Modelling
- Cryptography
- Mathematics of Climate Change
- Galois Theory
- Computational Nonlinear Dynamics
- Topology and Metric Spaces
- Integral Equations
- Commercial and Industrial Experience
- Aerosols, Clouds and Climate