BSc Mathematics
Entry requirements
A Level: AAA to include A-level grade A in Mathematics or Further Mathematics.. IB: 6,6,6 at Higher Level, including Mathematics, with a minimum of 32 points overall.. BTEC: only considered when combined with other qualifications.
About this course
Bachelor of Science in Mathematics BSc, a mathematics degree centred on the breadth and depth of the modern subject. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The programme is delivered across three undergraduate years. In the first year, students cover foundational concepts through modules such as Differential Equations and Mechanics, Mathematical Foundations, Calculus and Linear Algebra, and Probability, Data and Statistics. The second year progresses to deeper study with Applied Linear Algebra and Optimisation, Groups, Rings and Fields, Metric Spaces and Geometry, and Real and Complex Analysis. The final year allows students to pursue specialised interests across various mathematical applications, culminating in a compulsory Mathematical Project alongside optional modules such as Combinatorics and Computation, Data Science and Machine Learning, and Number Theory and Cryptography.
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