University of Sussex School of Mathematical and Physical Sciences
MSc in Financial Mathematics
Falmer, United Kingdom
MSc
DURATION
1 year
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
On-Campus
* international: 1 August 2024 / UK: 1 September 2024
Key Summary
Please note: this course is now closed for international applicants for 2023. It remains open for UK applicants.
Understand the main aspects of quantitative finance – including general finance theory, finance models and programming for graduates with a science, engineering and mathematics background.
Our course builds on Sussex’s strong foundation of interdisciplinary research. You’ll be taught by experts from both the Department of Mathematics and the University of Sussex Business School. The course also draws on expertise from industry professionals, so you’ll gain the knowledge and skills to succeed in the fast-paced world of finance. Topics covered include:
- Interest-rate theory
- Arbitrage theory
- GARCH models
- Corporate finance
- Option pricing models and numerical analysis
- Programming in C and Java
- The use of mathematical computing software.
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2022/23. 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.
We’ll do our best to provide as much optional choice as we can, but timetabling constraints mean it may not be possible to take some module combinations. The structure of a small number of courses means that the order of modules or the streams you choose may determine whether modules are core or optional. This means that your core modules or options may differ from what’s shown below.
Core modules
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.
All year
- Dissertation (Financial Mathematics)
Autumn teaching
- Corporate Finance
- Financial computing with MATLAB
- Financial Mathematics (L.7)
Spring teaching
- Financial and Time Series Econometrics
- Financial Portfolio Analysis
- Mathematical Models in Finance and Industry
Options
Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests. This list gives you a flavour of our options, which are kept under review and may change, for example in response to student feedback or the latest research.
While it’s our aim for students to take their preferred combinations of options, this can’t be guaranteed and will be subject to timetabling. Options may be grouped and if so, students will be able to choose a set number of options from the selection available in any particular group.
Autumn teaching
- Advanced Numerical Analysis (L.7)
- Functional Analysis (L.7)
- Introduction to Mathematical Biology
- Linear Statistical Models
- Measure and Integration (L.7)
- Partial Differential Equations
- Probability Models
- Programming in C++
- Programming through Python
- Topology and Advanced Analysis (L7)
Spring teaching
- Advanced Partial Differential Equations (L.7)
- Continuum Mechanics
- Cryptography (L.7)
- Dynamical Systems
- Financial Invest & Corp Risk Analysis
- Finite Element Analysis
- Monte Carlo Simulations
- Numerical Solution of Partial Differential Equations (L.7)
- Perturbation theory and calculus of variations
- Random processes (L.7)
- Statistical Inference (L.7)
Our graduates are well prepared for versatile jobs such as:
- Financial software developer
- Actuary
- Investment banker
- Quantitative analyst