MSc Mathematical Finance
Other Finance courses
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MSc Mathematical Finance course entry details Start date Sept 2025
MSc Accounting & Financial Management
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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.
Duration: 1 year, full-time
MSc Accounting & Sustainability
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W wbs.ac.uk/go/msmf
MSc Business & Finance
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Entry requirements: A 2:1 or higher (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.
MSc Finance
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MSc Finance & Economics
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MSc Financial Technology
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Class of 2024 profile
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. 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 2025 entry ■ Programming for Quantitative Finance ■ Stochastic Calculus for Finance ■ Financial Statistics ■ Simulation and Machine Learning for Finance ■ Asset Pricing and Risk ■ Financial Econometrics ■ Applications of Stochastic Calculus in Finance ■ Dissertation. Optional modules Please note that this is a sample range: ■ Advanced Trading Strategies ■ Alternative Investments ■ Behavioural Finance ■ Partial Differential Equations in Finance ■ Statistical Learning and Big Data. Please note these modules are subject to change.
Career destinations All of our MSc students benefit from our dedicated CareersPlus service whilst at WBS. Our MSc Mathematical Finance graduates are highly employable, and go into a range of industries and roles.
Number of students: 20
Number of nationalities: 7
Average age: 22
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Master’s Courses 2025
wbs.ac.uk/go/masters
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