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Entry requirements

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.

While you will, throughout the course, develop all necessary advanced skills, confident foundations in mathematics (in particular sound knowledge of Probability Theory, Linear Algebra and Differential Calculus) are necessary to build on.

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.

Months of entry


Course content

Challenge yourself on our MSc Mathematical Finance 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.

This mathematically rigorous course is unique in providing training from three top departments at Warwick. It enables 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.

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.

Information for international students

English Language requirement: Band B. For more guidance on English language requirements please visit this page.

Fees and funding

UK students
International students

VIsit our fees and funding page to find out more.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Masters Recruitment Team
+44 (0)24 7615 0333