BSc Financial Mathematics
Entry requirements
A level: AAB (B in Maths)
About this course
BSc in Mathematics, combining core areas of pure and applied mathematics with a finance orientation. Core topics include Statistics, Mathematical Modelling, Entrepreneurship, and Artificial Intelligence & Machine Learning. The programme includes modules in Behavioural Finance, Market Microstructure and Trading Theory, and Pricing and Risk Modelling.
Modules
- Computing for Mathematics
- Foundations of Mathematics I
- Foundations of Mathematics II
- Linear and Differential Equations
- Probability and Statistics
- Foundations of Finance and Modern Financial Markets
- Linear Algebra and Multivariable Calculus
- Probability Theory and Stochastic Simulation
- Operational Research
- Modern Mathematical Computing
- Further Finance: Pricing and Risk Modelling
- Abstract Algebra
- Mechanics
- Entrepreneurship
- Behavioural Finance
- Market Microstructure, Trading Theory and Applications
- Introduction to Functional and Fourier Analysis
- Algebraic Topology
- Differential Geometry of Curves and Surfaces
- Introduction to Number Theory 2
- Algebra II: Rings
- Algebra III: Fields
- Measure Theory
- Complex Analysis and Functional Series
- Knot Theory
- Theori Clymau
- Methods of Applied Mathematics
- Fluid Dynamics
- Solid Mechanics
- Project Module (Full Year)
- Project Module (Half)
- Project Module (Half) Spring Semester
- Stochastic Processes for Finance and Insurance
- Statistical Modelling
- Time Series
- Algorithms and Heuristics
- Optimisation
- Game Theory
- Algorithmau a Dulliau Hewristig / Algorithms and Heuristics
- Mathematics of AI and Deep Learning
- Developing Mathematics Teachers for Future Generations
- Prosiect
- Modiwl Prosiect (Hanner) Semester yr Hydref
- Modiwl Prosiect (Hanner) Semester y Gwanwyn