MSci Mathematics
Entry requirements
A Level: A*AA to include A-level grade A in Mathematics or Further Mathematics.. IB: 7,6,6 at Higher Level, including a 6 in Mathematics, with a minimum of 32 points overall.. BTEC: only considered when combined with other qualifications.
About this course
Master in Science in Mathematics Mathematics, a mathematics degree centred on analytical and theoretical techniques. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. This four-year undergraduate course culminates in independent final-year project work. The first year covers the foundations through Differential Equations and Mechanics, Mathematical Discovery: Problem Solving and Programming, Mathematical Foundations, Calculus and Linear Algebra, Probability, Data and Statistics, and Real Analysis. The second year introduces Applied Linear Algebra and Optimisation, Graphs and Algorithms, Groups, Rings and Fields, Mathematical Modelling with Differential Equations, Metric Spaces and Geometry, Multivariable and Vector Calculus, Real and Complex Analysis, and Statistics alongside Mathematical Challenge: Problem Solving and Programming in Business and Industry. The third year builds advanced knowledge through modules such as Mathematical Project, Combinatorics and Computation, Continuum Mechanics, Data Science and Machine Learning, Galois Theory and Coding Theory, Game Theory, Geometry and Mathematical Physics, Graph Theory and Applications, Mathematics in Biology and Medicine, Mathematics of Financial Derivatives, Measure Theory and Functional Analysis, Medical Statistics, Number Theory and Cryptography, Numerical Analysis, Optimisation, Partial Differential Equations and Applications, Statistical Machine Learning, Statistical Modelling, and Topology. The final year extends specialisation through Project in Mathematical Science, Advanced Management Mathematics, Bayesian Inference and Computation, Advanced Mathematical Biology, Advanced Mathematical Finance, Advanced Topics in Mathematics, Applied Mathematical Analysis, Computational Statistics, Nonlinear Waves, Stochastic Processes, and Topics in Applied Mathematics.
Modules
- Differential Equations and Mechanics
- Mathematical Discovery: Problem Solving and Programming
- Mathematical Foundations, Calculus and Linear Algebra
- Probability, Data and Statistics
- Real Analysis
- Mathematical Challenge: Problem Solving and Programming in Business and Industry
- Applied Linear Algebra and Optimisation
- Graphs and Algorithms
- Groups, Rings and Fields
- Mathematical Modelling with Differential Equations
- Metric Spaces and Geometry
- Multivariable and Vector Calculus
- Real and Complex Analysis
- Statistics
- Mathematical Project
- Combinatorics and Computation
- Continuum Mechanics
- Data Science and Machine Learning
- Galois Theory and Coding Theory
- Game Theory
- Geometry and Mathematical Physics
- Graph Theory and Applications
- Mathematics in Biology and Medicine
- Mathematics of Financial Derivatives
- Measure Theory and Functional Analysis
- Medical Statistics
- Number Theory and Cryptography
- Numerical Analysis
- Optimisation
- Partial Differential Equations and Applications
- Statistical Machine Learning
- Statistical Modelling
- Topology
- Project in Mathematical Science
- Advanced Management Mathematics
- Bayesian Inference and Computation
- Advanced Mathematical Biology
- Advanced Mathematical Finance
- Advanced Topics in Mathematics
- Applied Mathematical Analysis
- Computational Statistics
- Nonlinear Waves
- Stochastic Processes
- Topics in Applied Mathematics