Quantitative Finance

Entry requirements

• A UK upper second class degree or above, or the equivalent from an overseas institution, in a highly quantitative programme such as statistics, mathematics, physics, engineering, finance, economics or computer science
• Work experience is not a requirement for this course.

For international equivalents, please visit our website

Months of entry

September

Course content

Develop advanced quant skills at Bayes, minutes from the trading floors and data labs shaping global finance.

Ranked 5th in the UK for Finance Research (Shanghai Ranking's Global Ranking of Academic Subjects 2025), this MSc develops advanced quantitative expertise through in-depth study of financial modelling, asset pricing, risk management, econometrics, and quantitative methods. The programme combines rigorous academic theory with practical application, building strong statistical, programming, and analytical skills to prepare you for careers across quantitative finance, asset management, investment, and risk-related roles. Accredited by the Professional Risk Managers' International Association (PRMIA) as an official PRMIA Risk Accreditation Program, and supported through partnerships with The Certificate in Quantitative Finance Institute and the International Association for Quantitative Finance, this MSc provides a globally recognised foundation for graduates seeking to apply advanced quantitative techniques to complex financial challenges.

Career Outcomes

The MSc Quantitative Finance equips you with the skills and industry connections for a successful career across quantitative finance, investment analysis, financial modelling, risk management, and data-driven roles, in the UK and internationally.

Graduates have secured roles including:

• Quantitative Analyst
• Portfolio Analyst
• Market Analyst
• Technical Sales Consultant – Data Science
• Sales Analytics Partner

at leading employers such as KPMG, Schroders, Forvis Mazars, ASOS, Aegis One, and Windsor Brokers.

Why study Quantitative Finance at Bayes?

Located in the heart of the City of London, Bayes Business School combines world-class teaching with direct access to one of the world's leading financial centres. Through strong employer partnerships, embedded AI learning, and dedicated careers support, you'll develop the quantitative, technical, and professional skills needed to succeed in the evolving world of financial markets.

• Study in London – Learn at the heart of the City's investment banking, financial markets, fintech, and quantitative finance sectors, with immediate access to the organisations shaping global finance.

• Industry-connected learning – Benefit from Bayes' links with leading financial institutions including JPMorgan, Bloomberg, UBS, and other employers through guest lectures, Financial Engineering Workshops, networking events, internships, and a global alumni network.

• AI embedded throughout – Develop practical AI and data analytics skills alongside quantitative finance expertise, preparing you to apply advanced technologies to financial modelling, market analysis, risk management, and investment decision making.

• Dedicated careers support – Access tailored careers advice, employer events, internships, and recruitment opportunities to help achieve your career ambitions.

Fees and funding

For information about scholarships, please visit our website