BSc Mathematics with an International Year
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 with an International Year, a mathematics degree focusing on the breadth and depth of the modern discipline. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The third year is spent studying abroad at an English-speaking university. The first year covers core foundations through Differential Equations and Mechanics, Mathematical Discovery: Problem Solving and Programming, Mathematical Foundations, Calculus and Linear Algebra, and Probability, Data and Statistics. The second year expands into Applied Linear Algebra and Optimisation, Graphs and Algorithms, Groups, Rings and Fields, and Mathematical Modelling with Differential Equations. In the final fourth year, students complete a Mathematical Project alongside optional modules such as Combinatorics and Computation, Continuum Mechanics, and Data Science and Machine Learning.
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
- International Year at an English-speaking University
- 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