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Mathematical Finance (MSc)

Different course options

Study mode

Full time

Duration

1 year

Start date

25-SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Mathematics (General) Finance / Accounting (General) Financial Modelling

Course type

Taught

Course Summary

Join our challenging Mathematical Finance MSc, taught by three of Warwick's top departments; Mathematics, Statistics and Warwick Business School. With expert supervision, this mathematically rigorous course will develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance used in the financial markets and the finance industry.

This course was previously called Financial Mathematics (MSc).

Course Overview

Newly relaunched for 2020 entry, 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 compulsory 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’ll also learn programming for Quantitative Finance, focusing on C++, Python, and R.

Assessment

Assessment is a mix of exams and coursework with your dissertation bringing all of your learning together at the end.

Skills from this degree

  • Teaching by three world-leading academic departments helps you to gain a deep insight into mathematical finance
  • Specialist modules help you to uncover the newest quantitative theory and practice
  • Apply to the QTEM Masters Network Program and spend up to an additional 12 months studying at one or two International Academic Partners, completing an internship, and taking part in a global Data Challenge with fellow QTEM students
  • Access to dedicated CareersPlus service with specialist careers coaches

Careers

Graduates from these courses have gone on to work for employers including: Accenture, Amazon, Arup, BAE Systems, BNP Paribas, CitiBank, Deloitte, Delphi, European Central Bank, GlaxoSmithKline, IBM, Morgan Stanley, Nielsen, Rolls-Royce, Shell, UBS and Unilever. They have pursued roles such as: actuaries; business and financial project management professionals; chief executives and senior officials; economists, estimators, valuers and assessors, finance and investment analysts and advisers, investment/merchant bankers and taxation experts.

WBS CareersPlus service

We offer you a comprehensive pre-arrival, student, and alumni careers service. You will have access to one-to-one career guidance appointments, CV checks and tailored mock interviews. We regularly post job opportunities, events and workshops on our bespoke online learning environment my.wbs.

Modules

Get a thorough introduction into discrete-time martingale theory, Brownian motion, and stochastic calculus, illustrated by examples from Mathematical Finance.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£31,500

International fees
Course fees for EU and international students

For this course (per year)

£37,000

Entry requirements

Minimum requirements First Class Honours degree or a high 2:i undergraduate degree in Mathematics, Statistics, Physics, or another relevant quantitatively-focused degree.