MMath 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, covering pure and applied mathematical study. Core topics include Statistics, Data Analysis, Programming, Mathematical Modelling, Artificial Intelligence & Machine Learning, and Research Methods. The programme offers an optional professional placement year and meets the educational requirements for Chartered Mathematician designation from the Institute of Mathematics and its Applications. A substantial final-year research project is completed under supervisor guidance.
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
- Discrete Mathematics
- Linear and Abstract Algebra
- Machine Learning for Artificial Intelligence
- Probability and Statistics 2
- Professional Development and Project Work
- Complex Variable Methods and Applications
- Final Year Project
- Ordinary and Partial Differential Equations
- Practical Machine Learning
- Experimental Design and Regression Analysis
- Stochastic Models
- Mathematical Finance
- Data Mining and AI for Big Data Analytics
- Applied Optimisation
- Advanced Project
- Research Methods and Case Studies
- Advanced Computational Statistics for Data Analytics
- Advanced Mathematical Methods
- Dynamical Systems and ODEs
- Fundamentals of Machine Learning
- Mathematical Biology
- Probability and Stochastics
- Random Matrix Theory
- Time Series Forecasting and Risk Modelling
- Topics in Combinatorics