BSc Economics and Statistics
Entry requirements
A level: A*AA (A* in Mathematics required. Further Mathematics preferred. If you are studying both then the A* can be in either subject. Other preferred subjects include Chemistry, Economics, Physics and Statistics.) IB: 39 points (A total of 19 points in three higher level subjects including grade 7 in Mathematics, with no higher level score below 5. The programme will accept either ‘Mathematics: Analysis and Approaches’ or ‘Mathematics: Applications and Interpretation’ at higher level. Further Mathematics, Chemistry, Economics, Physics and Statistics preferred.)
About this course
BSc (Econ) in Economics and Statistics, a degree in mathematics and statistics and economics focused on quantitative analysis. Core topics include Statistics and Mathematical Modelling. Run jointly with the Department of Economics, the course combines economic theory with mathematical and statistical methods. The first year covers foundational principles through Calculus and Linear Algebra, Introduction to Probability and Statistics, and Economics 1 (Combined Studies). The second year advances quantitative study with modules such as Quantitative Economics and Econometrics, Regression Modelling, and Probability and Inference. In the final year, students select from a broad range of optional topics including International Trade, Economics of Labour, and Stochastic Methods in Finance.
Modules
- Economics 1 (Combined Studies)
- Calculus and Linear Algebra
- Calculus in Several Dimensions
- Introduction to Probability and Statistics
- Further Probability and Statistics
- Introduction to Practical Statistics
- Applied Economics
- The World Economy
- Quantitative Economics and Econometrics
- Advanced Linear Algebra
- Economics 2 (Combined Studies)
- Probability and Inference
- Regression Modelling
- Introduction to Stochastic Processes
- Decision and Risk
- Statistical Design and Data Ethics
- International Trade
- Economics of Labour
- Economics of Finance
- Economics of Tax Policy
- Introduction to Stochastic Processes
- Statistical Inference
- Stochastic Systems
- Forecasting
- Decision and Risk
- Stochastic Methods in Finance