MMath Financial Mathematics
Entry requirements
A level: ABB including Maths or Further Maths IB: International Baccalaureate Diploma 31 points including HL 5 in Maths (AA or AI). GCSE English equivalent SL 5 or HL 4 and Mathematics SL 2 or HL 2
About this course
MMath in Mathematics and Mathematics and Statistics. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The degree shares two-thirds of its content with the MMath in Mathematics, focusing the remaining third on financial mathematics. Students can opt for a five-year route including a professional placement, and the programme aligns with the educational requirements for Chartered Mathematician status from the Institute of Mathematics and its Applications.
Modules
- Calculus 1
- Calculus 2
- Elements of Applied Mathematics 1
- Elements of Applied Mathematics 2
- Fundamentals of Mathematics
- Linear Algebra
- Probability and Statistics 1
- Applied Statistics
- Calculus 3
- Elements of Investment Mathematics
- Linear and Abstract Algebra
- Machine Learning for Artificial Intelligence
- Probability and Statistics 2
- Professional Development and Project Work
- Applied Optimisation
- Mathematical Finance
- Financial Mathematics Final Year Project
- Data Mining and AI for Big Data Analytics
- Experimental Design and Regression Analysis
- Ordinary and Partial Differential Equations
- Practical Machine Learning
- Stochastic Models
- Advanced Project
- Interest Rate Theory
- Option Pricing Theory
- Probability and Stochastics
- Research Methods and Case Studies
- Advanced Computational Statistics for Data Analytics
- Fundamentals of Machine Learning
- Quantitative Data Analysis and Visualisation
- Time Series Forecasting and Risk Modelling