BSc Financial Mathematics with a Professional Placement Year
Entry requirements
A level: AAB (B in Maths)
About this course
BSc in Mathematics, combining pure and applied mathematical techniques with financial applications. Core topics include Statistics, Mathematical Modelling, Data Analysis, Artificial Intelligence & Machine Learning, and Entrepreneurship. The four-year programme includes a year of paid industrial placement in a mathematician or statistician role.
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
- Industrial Training
- 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
- Big Data Technologies
- 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