MSci Mathematics
Entry requirements
A*A*A - A*A*AA -- to include: A* in Mathematics; A* in Further Mathematics; A in another subject (A-levels), 39 points -- to include: 7 in Mathematics at higher level; 6 in another subject at higher level (International Baccalaureate)
About this course
MSci in Mathematics, a mathematics degree centred on mathematical and computational approaches to physical theory. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, and Communication & Writing. The program builds on the BSc with an integrated year taught at Master's level, incorporating advanced modules and a research project. The first year covers the foundations through Analysis 1, Linear Algebra and Groups, Calculus and Applications, and Probability and Statistics. The second year builds competence with modules such as Linear Algebra and Numerical Analysis, Analysis 2, Multi-variable Calculus and Differential Equations, and Group Research Project. Optional modules allow students to explore diverse areas such as Lebesgue Measure and Integration, Fluid Dynamics 1, Quantum Mechanics 1, and Time Series Analysis. An independent research project is also available.
Modules
- Introduction to University Mathematics
- Analysis 1
- Linear Algebra and Groups
- Calculus and Applications
- Probability and Statistics
- Introduction to Computation
- An Introduction to Applied Mathematics
- Individual Research Project
- Linear Algebra and Numerical Analysis
- Analysis 2
- Multi-variable Calculus and Differential Equations
- Group Research Project
- I-Explore module
- Groups and Rings
- Lebesgue Measure and Integration
- Probability for Statistics
- Statistical Modelling 1
- Partial Differential Equations in Action
- Principles of Programming
- Classical Mechanics
- Advanced Topics in Partial Differential Equations
- Algebra 3
- Algebraic Combinatorics
- Algebraic Number Theory
- Algebraic Topology
- Applied Complex Analysis
- Applied Probability
- Asymptotic Methods
- Bifurcation Theory
- Computational Linear Algebra
- Computational Partial Differential Equations
- Consumer Credit Risk Modelling
- Dynamical Systems
- Dynamics of Games and Learning
- Finite Elements: Numerical Analysis and Implementation
- Fluid Dynamics 1
- Fluid Dynamics 2
- Function Spaces and Applications
- Functional Analysis
- Galois Theory
- Geometric Complex Analysis
- Group Representation Theory
- Group Theory
- Introduction to Geophysical Fluid Dynamics
- Markov Processes
- Mathematical Biology
- Mathematical Finance: An Introduction to Option Pricing
- Mathematical Logic
- Mathematics of Business and Economics
- Mathematics Research Project
- Methods for Data Science
- Number Theory
- Numerical Solutions of Ordinary Differential Equations
- Probability Theory
- Quantum Mechanics 1
- Quantum Mechanics 2
- Special Relativity and Electromagnetism
- Applied Statistical Inference
- Statistical Theory
- Stochastic Simulation
- Survival Models
- Tensor Calculus and General Relativity
- Time Series Analysis