University of Warwick

What you'll study

The programme balances foundational finance modules with quantitative methods and technology-led applications. You will study topics such as corporate finance, asset pricing and financial markets, derivatives and risk management, and portfolio construction. Complementary quantitative modules typically cover econometrics for finance, time series analysis, and applied numerical methods.

A technology and applications strand emphasises programming for finance (commonly using Python or similar), data analytics, machine learning for financial decision‑making, and fintech innovations such as blockchain and digital payments. Teaching normally includes lectures, seminars, lab sessions and case studies, with assessed coursework and exams.

The degree culminates in a substantial independent project or industry-facing dissertation where students apply analytical and technical skills to an applied finance problem. Some students also undertake group projects or live consultancy assignments with external partners, reflecting WMG’s strong emphasis on industry engagement.

Typical modules

• Corporate Finance and Valuation
• Financial Markets and Instruments
• Derivatives and Risk Management
• Portfolio Management and Investment Analysis
• Econometrics and Time Series for Finance
• Programming and Data Analytics for Finance
• Fintech Applications and Innovation
• Independent Project or Dissertation

Entry requirements

Applicants are normally expected to hold a good undergraduate degree (equivalent to a UK upper second class honours, 2:1) in a numerate discipline such as economics, finance, mathematics, statistics, engineering or a related field. Strong performance in quantitative modules at undergraduate level is important for success on the programme.

Relevant professional experience is not usually required but can strengthen an application, particularly for candidates whose first degree is in a less quantitative subject. Where appropriate, applicants may be asked to demonstrate quantitative proficiency through transcripts, references or a pre-entry assessment.

Non-native English speakers must meet the university’s English language requirements; common evidence includes recognised test scores demonstrating the level required for postgraduate study. The admissions team will consider equivalent qualifications and experience on a case-by-case basis.

Career prospects

Graduates from this programme move into a range of roles that combine finance knowledge with quantitative and technical skills. Typical destinations include investment banking, asset management, risk management, treasury and corporate finance teams, financial analytics and modelling roles, and fintech companies where product, data or technology skills intersect with finance.

The applied nature of the course also prepares students for careers in consultancy, regulatory bodies and technology firms delivering financial services. The independent project and any industry placements give students evidence of practical experience to present to employers.

Why study at University of Warwick

WMG at the University of Warwick is known for its close links with industry and focus on applied, technology-enabled management education. The programme leverages these connections to provide live projects, practitioner input and opportunities to develop skills that employers seek in quantitative finance and fintech roles.

Studying at Warwick gives access to campus facilities, specialist computing resources and an interdisciplinary environment that brings together strengths in mathematics, engineering and business. Small cohort sizes and a mix of academic and professional teaching help students develop both technical competence and the practical communication skills required in finance careers.