BSc Economics and Mathematics
Entry requirements
A Level: AAA IB: 36, with 6 in Higher Level Maths; 34, with 6 in Higher Level Maths, and A in the Extended Essay
About this course
BSc in Economics and Mathematics BSc, a mathematics and economics degree centred on mathematical and computational approaches to economic theory. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, and Policy Analysis. The curriculum combines advanced analytical methods with practical applications to real-world economic issues. The first year covers foundational principles through Microeconomic Analysis and Policy, Macroeconomic Analysis and Policy, Introduction to University Mathematics, and Probability and Data Science. The second year progresses to Intermediate Microeconomics, Intermediate Macroeconomics, Econometrics, and Core Mathematics I. Optional modules across the degree allow specialisation in areas such as advanced microeconomics, game theory, modern finance, machine learning, and environmental economics, alongside pure and applied mathematical options.
Modules
- Further Econometrics
- Further Mathematical Methods for Economics
- Advanced Microeconomics
- Game Theory for Economists
- International Trade
- Monetary Economics
- Urban Economics
- Health Economics
- Economic Analysis of Inequality and Poverty
- Advanced Macroeconomics
- Modern Finance
- Education Economics
- Political Economy
- Environmental Economics
- Behavioural Economics
- Contemporary Issues in Labour Economics
- The Economics of Innovation
- Development Economics
- Stochastic Processes and Finance
- Undergraduate Ambassadors Scheme in Mathematics
- Combinatorics and Graph Theory
- Bayesian and Computational Inference
- Medical and Actuarial Statistics
- Machine Learning
- Metric Spaces, Topology and Measure
- Game Theory and Optimisation
- Microeconomic Analysis and Policy
- Macroeconomic Analysis and Policy
- Introduction to University Mathematics
- Geometry, Matrices and Multivariate Calculus
- Probability and Data Science
- Computing and Analysis
- Intermediate Microeconomics
- Intermediate Macroeconomics
- Econometrics
- Core Mathematics I
- Core Mathematics II
- Analysis and Algebra
- Mathematics and Statistics in Action
- Statistical Inference and Modelling
- Stochastic Modelling