MSc Quantitative Finance (MSc QF)
A one-year joint Business School and Mathematics course combining stochastic modelling, quantitative risk and computational finance with corporate finance, plus Python and R. A large 60-credit modelling and research module anchors the year.
What you’ll study
Core
- Corporate Finance
- Mathematical Foundations for Finance
- Quantitative Risk Management
- Stochastic Modelling for Financial Markets
- Computational Finance
- Professional Skills and Practice in Finance
- Financial Modelling, Analytics, and Research
Electives
- Private Capital
- Risk Measurement and Management in Financial Institutions
- Financial Reporting and Analysis
- Global Investments
- ESG Strategy and Reporting
- Machine Learning in Practice
Source: courses.leeds.ac.uk ↗
Before you apply
- Background
- 2:1 (hons) in a related subject such as finance, economics, mathematics, physics, computing or engineering
- Maths
- calculus; linear algebra; statistics
- English
- IELTS 6.5 overall, no less than 6.0 in any component
- Other
- Stochastic processes exposure an advantage, not required
Source: courses.leeds.ac.uk ↗
After graduation
- Typical first roles
- Investment banks, Hedge funds, Asset management, Risk management, Derivatives pricing, Financial engineering
- Employers
- Allianz, AstraZeneca, Barclays, CITIC Group, Deloitte, Gaz de France, KPMG, PricewaterhouseCoopers, UK Government Actuary's Department
Source: courses.leeds.ac.uk ↗
Want to see what employers ask for? Browse open quant roles.
What students and graduates say
Threads from QuantNet and other forums where applicants, students and graduates discuss this programme. They’re personal views and may be out of date.
- Quantitative finance masters comparison UK (QuantNet)
Fetched page showed 2027/28 entry; optional module list is partial.
Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.