BSc Mathematics, Statistics & Finance
Entry requirements
A level: Standard entry requirements*: Year 1 entry: BBB (Maths, GCSE English Language 6/B or English Literature 6/B) Year 2 entry: ABB (Maths A, business subject B, GCSE English Language 6/B or English Literature 6/B) IB: Standard entry requirements*: Year 1 entry: 30 (Mathematics HL5, English SL6) Year 2 entry: 32 (Mathematics HL6, English SL6)
About this course
BSc in Mathematics, Statistics and Finance. Core topics include programming, data analysis, statistics, mathematical modelling, financial analysis, and accounting. Students undertake a finance dissertation involving independent research and statistical analysis. The degree is relevant to those pursuing the actuarial profession.
Modules
- Mathematical Foundations
- Calculus 1
- Introduction to Geometry & Algebra
- Introduction to Finance & Financial Analysis
- Essential Statistics
- Data Analysis & Presentation
- Linear Algebra & Differential Equations
- Advanced Calculus
- Probability & Statistical Inference
- Mathematical & Statistical Computing
- Business Finance
- Portfolio Management & Security Analysis
- Applied Linear Algebra
- Regression Modelling
- Treasury Management & Derivatives
- Advanced Corporate Finance & Financial Markets
- Numerical Analysis
- Statistical Inference
- Experimental Design
- Survey Design & Analysis
- Stochastic Processes
- Partial Differential Equations
- Communicating Mathematics & Statistics
- Finance Dissertation
- Statistical Modelling & Analysis
- Applied Statistics in Society
- Medical Statistics
- Modelling & Simulation with Applications to Financial Derivatives
- Finite Element Methods for Boundary Value Problems & Approximations
- Mathematical Biology & Marine Population Modelling
- Mathematical Introduction to Networks
- Sustainability Accounting: Theory and Practice
- Asset Pricing
- Corporate Financing
- Corporate Investment
- Financial Quantitative Methods
- Behavioural Finance
- International Financial Management
- Advanced Derivatives
- Sustainable Business: A Finance & Accounting Perspective
- Data Textual Analytics for Accounting & Finance