BSc Mathematics
Entry requirements
A Level: AAA IB: 36, with 6 in Higher Level Maths; 34, with 6 in Higher Level Maths, and A in the Extended Essay
About this course
BSc in Mathematics BSc, a Mathematics degree focused on foundational and advanced mathematical concepts. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Laboratory Techniques, Communication & Writing, and Artificial Intelligence & Machine Learning. Students can tailor their studies to individual career goals across the duration of the programme. The first year covers core foundations through Introduction to University Mathematics, Geometry, Matrices and Multivariate Calculus, Foundations of Pure Mathematics, and Probability and Data Science, alongside optional choices in investigation skills and modelling. The second year progresses with Core Mathematics I, Core Mathematics II, Statistical Inference and Modelling, and Differential equations, with further options in abstract algebra, stochastic modelling, and Python-based scientific data processing. The final year centres on the Mathematical and Physical Sciences Projects and Professional Skills module, complemented by a wide array of specialised optional modules covering topology, financial stochastic processes, medical statistics, quantum theory, and machine learning.
Modules
- Introduction to University Mathematics
- Geometry, Matrices and Multivariate Calculus
- Foundations of Pure Mathematics
- Probability and Data Science
- Mathematical Investigation Skills
- Mathematical modelling
- You can also select 20 credits of Languages for All modules.
- Core Mathematics I
- Core Mathematics II
- Statistical Inference and Modelling
- Differential equations
- Algebra
- Stochastic Modelling
- Dynamics, Fluids and Relativity
- Scientific Data Processing and Python
- You can also select 20 credits of Languages for All modules.
- Mathematical and Physical Sciences Projects and Professional Skills
- Metric Spaces, Topology and Measure
- Fields and Galois Theory
- Stochastic Processes and Finance
- Medical and Actuarial Statistics
- Bayesian and Computational Inference
- Time Series and Generalised Linear Models
- Mathematical Physics and Analytical Dynamics
- Quantum Theory and Electrodynamics
- Mathematical Biology
- Waves and Fluid Dynamics
- Game Theory and Optimisation
- Combinatorics and Graph Theory
- Number Theory and Cryptography
- Geometry, Knots and Surfaces
- Machine Learning
- Undergraduate Ambassadors Scheme in Mathematics