Finance & Accounting courses
MSc MATHEMATICAL FINANCE
Fees & funding: For further information on the most up-to-date course fees, and our scholarship offering, please visit our MSc Mathematical Finance web page.
Start date: Sept 2026
Duration : 1 year, full-time
Entry requirements: A 2:1 (or international equivalent) achieved in a relevant subject at Undergraduate level. Strong mathematics and statistics, or econometrics ability essential. If English is not your first language, please note that you must meet a minimum overall standard in a recognised test of English. Further details of these tests and minimum overall scores are available on the MSc Mathematical Finance web page.
Employers of our graduates include:
Why MSc Mathematical Finance? Challenge yourself on our MSc Mathematical Finance with a high-level mix of mathematic and finance disciplines taught by three of the University of Warwick’s top departments: Statistics, Mathematics, and Warwick Business School. This mathematically rigorous course will enable you to develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance used in the financial markets and the finance industry. You will 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. The lab work on our mathematical finance Master’s 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. Assessment and modules Over three terms you will complete seven core modules, and two optional modules of your choice. Assessment of these modules consists of a mixture of project work and examinations. Your studies will be completed by your Dissertation.
Core modules for 2026 entry ■ Applications of Stochastic Calculus in Finance
20 Cohort size (2024 intake) 7 Nationalities (2024 intake) 22
■ Asset Pricing and Risk ■ Financial Econometrics ■ Financial Statistics ■ Programming for Quantitative Finance ■ Simulation and Machine Learning for Finance ■ Stochastic Calculus for Finance. Optional modules Please note that this is a sample range: ■ Advanced Trading Strategies ■ Alternative Investments ■ Behavioural Finance ■ FinTech: Digital Currencies and Decentralised Finance ■ Partial Differential Equations in Finance ■ Statistical Learning and Big Data. Please note these modules are subject to change.
Average age (2024 intake) 100% Working in Finance, Technology or Fintech (2022 intake)
*Of those participating in our MSc Employment Report survey. The 2022–2023 cohort averaged an 81% response rate overall.
Find out more
W wbs.ac.uk/go/msmf
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Master's Courses 2026
wbs.ac.uk/go/masters
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