Course summary
Do you want to develop the mathematical skills sought out by so many employers? Do you want to follow your passion and pursue further study in mathematics? Are you considering a career in research within academia or industry? If so, this degree is for you. You’ll study in an intellectually stimulating environment, where you can follow your own mathematical interests by choosing from a wide range of advanced topics in both pure and applied mathematics. You’ll develop your research skills and explore in depth an area of your choice in your MSc dissertation, supported by one of our expert faculty. Our research at Sussex plays an important role in the current development of areas as diverse as:
- analysis and partial differential equations
- mathematical physics
- mathematics applied to biology
- numerical analysis and scientific computing
- probability and statistics.
Modules
We’re planning to run these modules in the academic year 2023/24. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity. Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
- Dissertation (Mathematics)
- Advanced Numerical Analysis
- Financial Mathematics
- Functional Analysis
- Introduction to Mathematical Biology
- Linear Statistical Models
- Measure and Integration
- Partial Differential Equations
- Probability Models
- Programming in C++
- Programming through Python
- Topology and Advanced Analysis
- Advanced Partial Differential Equations
- Continuum Mechanics
- Cryptography
- Dynamical Systems
- Financial Invest & Corp Risk Analysis
- Financial Portfolio Analysis
- Mathematical Fluid Mechanics
- Mathematical Models in Finance and Industry
- Monte Carlo Simulations
- Numerical Solution of Partial Differential Equations
- Perturbation theory and calculus of variations
- Random processes
Entry requirements
You should normally have an upper second-class (2.1) undergraduate honours degree or above. Your qualification should be in mathematics (including joint degrees) or in a subject with substantial mathematics content. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing. For more information about our entry requirements and English language requirements, please visit our website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Please click on the course URL to see up-to-date fee information.
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH