BSc Mathematics and Finance
City St George's, University of London
Entry requirements
A level: AAB (including grade A in Mathematics or Further Mathematics) IB: 33 points total, including Higher Level Mathematics at grade 6 and minimum of grade 5 in Standard Level English
About this course
BSc in Mathematics, combining mathematical methods with actuarial science and finance. Core topics include Mathematical Modelling, Statistics, Programming, Data Analysis, Financial Analysis, and Accounting. An optional paid placement year is available, with past placements at firms including J.P. Morgan and Bloomberg. Finance modules are taught by staff from Bayes Business School.
Modules
- Professional Placement
- Functions, Vectors and Calculus 1
- Functions, Vectors and Calculus 2
- Algebra
- Introduction to Microeconomics
- Introduction to Macroeconomics
- Linear Algebra
- Introduction to Probability and Statistics
- Financial and Investment Mathematics A
- Programming and Data Science for the Professions
- Real Analysis
- Vector Calculus
- Fundamentals of Finance
- Financial Reporting
- Financial and Investment Mathematics B
- Professional Development and Employability for Mathematics
- Sequences and Series
- Applied Mathematics
- Numerical Mathematics
- Applications of Probability and Statistics
- Codes
- Differential Equations 1
- Differential Equations 2
- Complex Analysis
- Group Project
- Advanced Complex Analysis
- Game Theory
- Stochastic Models
- Operational Research
- General Insurance
- Corporate Finance
- Introduction to Financial Derivatives
- Corporate Risk Management
- Graph Theory
- Dynamical Systems
- Introduction to the Mathematics of Fluids
- Introduction to Mathematical Physics
- Mathematical Processes for Finance
- Groups and Symmetry
- Mathematical Biology
- Probability 2