MSci Mathematics
About this course
MSci in Mathematics, a mathematics degree centred on mathematical and computational approaches to physical theory. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, and Communication & Writing. The program builds on the BSc with an integrated year taught at Master's level, incorporating advanced modules and a research project. The first year covers the foundations through Analysis 1, Linear Algebra and Groups, Calculus and Applications, and Probability and Statistics. The second year builds competence with modules such as Linear Algebra and Numerical Analysis, Analysis 2, Multi-variable Calculus and Differential Equations, and Group Research Project. Optional modules allow students to explore diverse areas such as Lebesgue Measure and Integration, Fluid Dynamics 1, Quantum Mechanics 1, and Time Series Analysis. An independent research project is also available.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A*A*A - A*A*AA -- to include: A* in Mathematics; A* in Further Mathematics; A in another subject (A-levels), 39 points -- to include: 7 in Mathematics at higher level; 6 in another subject at higher level (International Baccalaureate)
Typical offer
A*A*A (three A-levels), A*A*AA (four A-levels) (A-levels), 40 points (International Baccalaureate)
What students say
Based on about 50 final-year students who answered
- Teaching on my course: 94%
- Learning opportunities: 88%
- Assessment and feedback: 82%
- Academic support: 92%
- Organisation and management: 84%
- Learning resources: 90%
- Student voice: 89%
Do students stay on the course?
Based on about 55 students who started
- Continued on course: 95%
- Left higher education: 5%
What graduates do next
Based on about 21 graduates who answered (a small group: a rough guide only)
- Working: 75%
- Working and studying: 10%
- Further study: 15%
Most common jobs
- Business, Research and Administrative Professionals: 45%
- Information Technology Professionals: 20%
- Finance Professionals: 10%
- Science, engineering and technology associate professionals: 10%
- Business and public service associate professionals: 10%
- Find their work meaningful: 60%
- Feel on track for their future plans: 80%
- Use what they learnt on the course: 60%
Where graduates work (5 years on)
Based on about 100 graduates, across similar courses at this university
- North West: 3%
- Yorkshire and the Humber: 1%
- East Midlands: 3%
- West Midlands: 6%
- East of England: 7%
- London: 61%
- South East: 13%
- South West: 3%
- Scotland: 1%
- Northern Ireland: 1%
Who gets in
Based on about 60 students who started
- A levels: 89%
- Baccalaureate: 11%
Accreditation & quality ratings
TEF 2023 (whole university): Gold overall, Silver for student experience, Gold for student outcomes.
Modules
- Introduction to University Mathematics
- Analysis 1
- Linear Algebra and Groups
- Calculus and Applications
- Probability and Statistics
- Introduction to Computation
- An Introduction to Applied Mathematics
- Individual Research Project
- Linear Algebra and Numerical Analysis
- Analysis 2
- Multi-variable Calculus and Differential Equations
- Group Research Project
- I-Explore module
- Groups and Rings
- Lebesgue Measure and Integration
- Probability for Statistics
- Statistical Modelling 1
- Partial Differential Equations in Action
- Principles of Programming
- Classical Mechanics
- Advanced Topics in Partial Differential Equations
- Algebra 3
- Algebraic Combinatorics
- Algebraic Number Theory
- Algebraic Topology
- Applied Complex Analysis
- Applied Probability
- Asymptotic Methods
- Bifurcation Theory
- Computational Linear Algebra
- Computational Partial Differential Equations
- Consumer Credit Risk Modelling
- Dynamical Systems
- Dynamics of Games and Learning
- Finite Elements: Numerical Analysis and Implementation
- Fluid Dynamics 1
- Fluid Dynamics 2
- Function Spaces and Applications
- Functional Analysis
- Galois Theory
- Geometric Complex Analysis
- Group Representation Theory
- Group Theory
- Introduction to Geophysical Fluid Dynamics
- Markov Processes
- Mathematical Biology
- Mathematical Finance: An Introduction to Option Pricing
- Mathematical Logic
- Mathematics of Business and Economics
- Mathematics Research Project
- Methods for Data Science
- Number Theory
- Numerical Solutions of Ordinary Differential Equations
- Probability Theory
- Quantum Mechanics 1
- Quantum Mechanics 2
- Special Relativity and Electromagnetism
- Applied Statistical Inference
- Statistical Theory
- Stochastic Simulation
- Survival Models
- Tensor Calculus and General Relativity
- Time Series Analysis
Questions about this course
How much do graduates of MSci Mathematics at Imperial College London earn?
The median salary is £40,000 after 15 months, £53,500 after 3 years, £68,000 after 5 years. After five years the middle half of graduates earn between £45,500 and £116,000. The £68,000 median after five years is £28,500 more than the UK median for Mathematics.
What do graduates of MSci Mathematics at Imperial College London do next?
100% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MSci Mathematics at Imperial College London?
94% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MSci Mathematics at Imperial College London?
The minimum entry standard is A*A*A at A level, or 39 points in the IB. The typical offer is A*A*A (three A-levels), A*A*AA (four A-levels) at A level. The average entrant had 216 UCAS points.
How many students continue on MSci Mathematics at Imperial College London?
95% of students continued into their second year, and 5% left higher education.