Entry requirements

  • A high 2:1 or First (or equivalent) in a Mathematics, Statistics, Physics or another relevant quantitatively-focused undergraduate degree. You will need strong ability in mathematics and finance, and some experience in statistics or econometrics.

English language requirements

You can find out more about our English language requirements. This course requires the following:

  • Band B
  • IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.

We accept a range of language tests. Please refer to our website.

Months of entry


Course content

This unique course provides training from three top departments at the University of Warwick: Mathematics, Statistics and Warwick Business School. Building on your strong mathematical background, you will develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance that are used within the financial markets and finance industry.

Our core modules focus on the four elements of the core skill set needed for careers in finance: Financial Statistics, Financial Mathematics, Asset Pricing and Risk, and Simulation and Machine Learning for Finance. In line with these modules, you will also learn programming for Quantitative Finance, focusing on C++, Python, and R.

Skills from this degree

  • Teaching by three world-leading academic departments helps you to gain a deep insight into mathematical finance
  • Uncover the newest quantitative theory and practice through specialist modules
  • Develop your industry acumen by accessing our CareersPlus service with specialist careers coaches.

Fees and funding

See University website

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