BSc Financial 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 Financial Mathematics, a degree spanning the disciplines of mathematics and accounting and finance. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Financial Analysis, Accounting, Artificial Intelligence & Machine Learning. Students complete a final-year project incorporating extended work and professional skills development. The first year covers fundamental mathematical methods and economic concepts through modules such as Introduction to University Mathematics, Geometry, Matrices and Multivariate Calculus, Probability and Data Science, and Computing and Analysis. The second year progresses to advanced mathematical techniques and economic theory, featuring compulsory modules like Core Mathematics I, Core Mathematics II, Statistical Inference and Modelling, and Stochastic Modelling. The final year involves specialized study in quantitative finance and advanced economics, with compulsory modules including Mathematical and Physical Sciences Projects and Professional Skills, Medical and Actuarial Statistics, Stochastic Processes and Finance, Advanced Microeconomics, Further Econometrics, Advanced Macroeconomics, and Modern Finance. Optional modules in the final year allow further study in areas such as corporate finance, financial derivatives, and machine learning.
Modules
- Introduction to University Mathematics
- Geometry, Matrices and Multivariate Calculus
- Probability and Data Science
- Computing and Analysis
- Microeconomic Analysis and Policy
- Macroeconomic Analysis and Policy
- Foundations in Financial Management
- Introduction to Management Accounting
- Core Mathematics I
- Core Mathematics II
- Statistical Inference and Modelling
- Stochastic Modelling
- Econometrics
- Intermediate Microeconomics
- Intermediate Macroeconomics
- Financial Management
- Corporate Finance: Strategy, Digitalisation and Impact
- Mathematical and Physical Sciences Projects and Professional Skills
- Medical and Actuarial Statistics
- Stochastic Processes and Finance
- Advanced Microeconomics
- Further Econometrics
- Advanced Macroeconomics
- Modern Finance
- Advances in Corporate Finance
- Financial Derivatives
- Bayesian and Computational Inference
- Time Series and Generalised Linear Models
- Game Theory and Optimisation
- Machine Learning