BSc Mathematics and Statistics
Entry requirements
A level: AAB IB: 34 points
About this course
BSc Honours in Mathematics and Mathematics and Statistics, combining pure and applied mathematics with probability, data analysis and statistical modelling. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The programme offers optional modules linked to staff research strengths, including areas such as advanced hydrodynamics and quantum mechanics. Students may transfer between mathematics and statistics degree pathways as interests develop.
Modules
- Introductory Algebra
- Real Analysis
- Introduction to Probability and Statistics
- Logic, Sets and Counting
- Number Systems
- Problem Solving with Python
- Introductory Calculus and Differential Equations
- Multivariable Calculus
- Dynamics
- Linear Algebra
- Complex Analysis
- Groups and Rings
- Statistical Inference
- Stochastic Processes
- Data Visualisation
- Probability
- Regression
- Vector Calculus
- Differential Equations, Transforms and Waves
- Fluid Dynamics I
- Frontiers in Data Science A
- Curves and Surfaces
- Coding Theory
- Numerical Methods with Python
- Principles of Quantum Mechanics
- Mathematical Biology
- Mathematical & Skills Group Project
- Clinical Trials
- Decision Modelling for Health Data Science
- Topics in Medical Statistics and Health Data Science
- Curves and Surfaces
- Coding Theory
- Numerical Methods with Python
- Global Education in Mathematics and Statistics
- Group Theory
- Linear Analysis
- Matrix Analysis
- Metric Spaces and Topology
- Number Theory and Cryptography
- Matrix Representations of Groups
- Stochastic Financial Modelling
- Experimental Design
- Foundations of Machine Learning
- Extreme Value Theory
- Time Series
- Survival Analysis
- Statistical Genetics
- Mathematical Statistics
- Statistical Modelling
- Bayesian Statistics and Decision Theory
- Markov Processes
- Principles of Quantum Mechanics
- Mathematical Biology
- Advanced Quantum Mechanics
- Classical Fields
- Quantum Information
- Methods for Differential Equations
- Fluid Dynamics II
- Relativity and Fundamental Particles
- Hydrodynamic and Climate Instabilities
- Variational Methods and Lagrangian Dynamics
- Career Development for final year students