BSc Mathematics for Finance,
About this course
BSc in Mathematics, combining pure and applied mathematics with a focus on financial applications. Core topics include Statistics, Data Analysis, Mathematical Modelling, Research Methods, and Artificial Intelligence & Machine Learning. The programme includes a final-year Dissertation in the Mathematics of Finance and offers an optional Year Abroad or Year in Industry.
Modules
- Mathematical and Computational Methods
- Analytical Methods in Mathematics
- Analysis 1
- Dadansoddi 1
- Foundations of Algebra
- Sylfeini Algebra
- Analysis 2
- Dadansoddi 2
- Vector Spaces and Linear Algebra
- Gofodau Fector ac Algebra Llinol
- Probability Theory
- Multi-variable analysis
- Dadansoddi Aml-Newidyn
- Metric spaces and measure theory
- Gofodau Metrig a Theori Mesur
- Vector Spaces
- Gofodau Fector
- Differential Equations
- Investments: Assets; Equities and Bonds
- Groups and Rings
- Grwpiau a Chylchoedd
- Credibility, Liability and Ruin
- Game Theory and Optimization
- Statistical Data Analysis
- Dissertation in the Mathematics of Finance
- Complex Analysis
- Dadansoddi Cymhlyg
- Cashflows and Interest Rates
- Financial Mathematics in Discrete Time
- Markov Processes and Applications
- Dynamical Systems
- Machine Learning
- Higher Algebra
- Assurance and annuity
- Financial Mathematics in Continuous Time
- Risk and Survival Models