MSci Mathematics with Modern Languages
Entry requirements
A level: A*A*A (A*A*A with A*A* in Mathematics and Further Mathematics; or A*AA with A*A in Mathematics and Further Mathematics, in any order, together with a 2 in any STEP Paper or a Distinction in Mathematics AEA. Biology, Chemistry, Computer Science, Economics, English Language, English Literature, Physics, Statistics and a modern language preferred.) IB: 40 points (A total of 40 points overall with 20 points in three higher level subjects including 7 in Mathematics; or 39 overall with 19 points in three higher level subjects including 7 in Mathematics together with a 2 in any STEP paper or a Distinction in Mathematics AEA. The course will accept higher level ‘Mathematics: Analysis and Approaches’ only. Biology, Chemistry, Computer Science, Economics, English Language, English Literature, Physics, Statistics and a modern language preferred.)
About this course
MSci in Mathematics with Modern Languages, a mathematics and modern languages degree centred on mathematical and computational approaches. Core topics include Programming, Statistics, and Mathematical Modelling. This four-year course includes a major final-year project and provides the opportunity to study two or more modern languages alongside advanced mathematical subjects. The first year covers core foundations through Analysis 1, Analysis 2, Algebra 1, and Advanced Calculus. The second year builds upon this knowledge with modules such as Analysis 3: Complex Analysis, Algebra 3: Further Linear Algebra, and Fourier Methods and Linear PDEs, alongside optional choices like Curves and Surfaces and Probability and Statistics. The third year offers advanced optional study spanning subjects such as Measure Theory, Functional Analysis, and Biomathematics. The fourth year concludes with a compulsory Project in Mathematics and specialised options including Further Topics in Algebraic Number Theory and Quantitative and Computational Finance.
Modules
- Analysis 1
- Analysis 2
- Algebra 1
- Algebra 2
- Advanced Calculus
- Programming and Vector Calculus
- Analysis 3: Complex Analysis
- Algebra 3: Further Linear Algebra
- Fourier Methods and Linear PDEs
- Curves and Surfaces
- Number Theory
- Analysis 4: Metric Spaces
- Algebra 4: Groups and Rings
- Mathematical Methods 4
- Probability and Statistics
- Computational Methods and Programming
- Critical Perspectives on Mathematics Education
- Measure Theory
- Functional Analysis
- Multivariable Analysis
- Homological Algebra
- Galois Theory
- Algebraic Topology
- Mathematics For General Relativity
- Biomathematics
- Mathematical Methods 5
- Project in Mathematics
- Further Topics in Algebraic Number Theory
- Advanced Modelling Mathematical Techniques
- Spectral Theory
- Riemannian Geometry
- Algebraic Geometry
- Asymptotic Approximation Methods
- Evolutionary Games and Population Genetics
- Computational and Simulation Methods
- Quantitative and Computational Finance
- Probabilistic Method in Combinatorics