MSci Mathematics (Study Abroad)
Entry requirements
A level: A*AA. This should include Mathematics grade A or Further Mathematics grade A. The overall offer grades will be lowered to AAA for applicants who achieve both Mathematics and Further Mathematics at grades AA. IB: 38 points overall with 17 points from the best 3 HL subjects including 6 in Mathematics HL (either analysis and approaches or applications and interpretations)
About this course
MSci Hons in Mathematics (Study Abroad), a mathematics degree centred on quantitative and analytical methods. Core topics include Programming, Statistics, Data Analysis, Mathematical Modelling, and Research Methods. The course includes a dedicated third year spent studying abroad at an international partner university, followed by a major final-year research project supervised by an active researcher or completed through an industry collaboration. The first year establishes core foundations through modules such as Logic and Discrete Mathematics, Symmetry and Sequences, Matrices and Calculus, and Probability and Statistics, alongside optional choices in computing and physics. The second year advances mathematical theory through Linear Algebra, Real Analysis, Multivariate Probability and Statistics, and Project Skills, with further options in algebra, data science, and artificial intelligence. After returning from the international placement in the third year, the fourth year allows students to tailor their studies by selecting from a wide variety of advanced optional modules covering specialized areas like cryptography, geometry, and statistics. The final master's-level year features a significant individual project alongside advanced options including Galois Theory, Advanced Statistical Modelling, and Deep Learning.
Modules
- Logic and Discrete Mathematics
- Symmetry and Sequences
- Matrices and Calculus
- Probability and Statistics
- Mathematical Modelling and Programming
- Multivariate Calculus
- Computing Essentials: Programming
- Computing for Business Decision Making
- The Physical Universe
- Fields, Matter and Quantum Physics
- Managing Uncertainty in Business
- Principles of Macroeconomics
- Principles of Microeconomics
- Languages
- Foundations of Accounting and Finance
- Linear Algebra
- Real Analysis
- Multivariate Probability and Statistics
- Project Skills
- Abstract Algebra
- Applied Data Science
- Complex Analysis
- Mathematics of Artificial Intelligence
- Real-world Dynamics
- Study Abroad
- Commutative Algebra
- Hilbert Spaces
- Knots and Geometry
- Metric Spaces and Topology
- Representation Theory
- Graph Theory and Algorithms
- Mathematical Cryptography
- Advanced Differential Equations
- Linear Systems
- Mathematics of Generative Modelling
- Environmental Statistics
- Medical Statistics
- Statistical Inference
- Statistical Learning and Prediction
- Mathematical Finance
- Stochastic Processes
- Mathematical Education
- Mathematical Education Placement
- Optimisation for Machine Learning
- Dissertation
- Combinatorics
- Galois Theory
- Lie Groups and Lie Algebras
- Measure and Integration
- Operators and Spectral Theory
- Number Theory
- Probability Theory
- Stochastic Calculus for Finance
- Advanced Statistical Modelling
- Clinical Trials
- Computing and Algorithms for Statistics
- Deep Learning
- Epidemiology and Disease Modelling
- Estimation and Inference
- Hidden-Process Models
- Machine Learning
- Survival and Longitudinal Statistics
- Modern Applied Mathematics