Challenge yourself with the MSc Mathematical Finance course taught at University of Warwick with a high-level mix of mathematic and finance disciplines taught by three of the University’s top departments: Statistics, Mathematics and Warwick Business School.
Build on your strong mathematical background to gain both a deep theoretical and conceptual knowledge of finance, together with the requisite high-level probability, statistics and mathematics, to enable you to undertake advanced quantitative modelling. Lab work will give you hands-on experience of using software packages for simulations and time series analysis, as well as learning programming for quantitative finance in three core languages: Python, C++ and R.
Our departments benefit from excellent links to key financial institutions and employers, and this course has benefited from industry recommendations.
Graduates from these courses have gone on to work for employers including: HSBC, LLoyds Banking Group, UBS and Goldman Sachs. They have pursued roles such as: Equity Traders, Quantitative Analysts, Market Rish Analysts and Senior Investment Analysts.
Get more detailsVisit official programme website
Compulsory modules include:
- Asset Pricing & Risk
- Programming for Quantitative Finance
- Financial Statistics
- Simulation & Machine Learning for Finance
- Financial Econometrics
- Stochastic Calculus for Finance
- Applications of Stochastic Calculus in Finance
- 12 months
Start dates & application deadlines
- StartingApply anytime.
- There is no official deadline for applications, as we operate a rolling admissions system.
DisciplinesBusiness Administration Financial Mathematics Machine Learning View 217 other Masters in Machine Learning in United Kingdom
- Our MSc Mathematical Finance is a highly specialised and technical programme, and is, as such, mathematically quite challenging.
- To succeed on this course, you will need strong ability in Mathematics and Finance, and some experience in Statistics or Econometrics, evidenced by a good 2:1 or first in Mathematics, Statistics, Physics or another relevant quantitatively-focused undergraduate degree.
- A clear emphasis in your choice of undergraduate electives on the aforementioned areas will strengthen your application.
- Given the fast pace of the course, it is strongly recommended that you undertake preliminary reading before the start of the course if you have little or no background in areas such as Measure-Theoretic Probability, Statistics, and Financial Economics. Before you join the course, we will make reading recommendations and other materials available via our dedicated pre-arrival pages.
International35500 GBP/yearTuition FeeBased on the tuition of 35500 GBP for the full programme during 12 months.
National30500 GBP/yearTuition FeeBased on the tuition of 30500 GBP for the full programme during 12 months.
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 9 months
Check the official programme website for potential updates.