This MSc program, offered at Royal Holloway, combines advanced study in quantitative finance and computational methods. It prepares students for roles in asset structuring, product pricing, and risk management by teaching skills such as financial modeling, derivative pricing, and machine learning applications in finance. Throughout the course, you'll develop the ability to analyze, evaluate, and apply computational finance techniques to real-world problems, using software like MATLAB and R, and working with data management systems and SQL databases. The program also emphasizes practical experience through a mandatory year in industry, where students can gain valuable business exposure and apply their theoretical knowledge.
Why this course is highly recommended
Royal Holloway boasts a strong research background in Machine Learning, with notable figures such as the inventors of Support Vector Machines and reinforcement learning. The course offers practical industry placements with top companies like Disney, Shell, and UBS, providing excellent employability prospects. Graduates are well-positioned for high-demand roles in data science and finance, with salaries exceeding other IT professions and the UK average wages. The program's industry connections and tailored modules make it ideal for students seeking a career in financial technology and analytics.
The course allows students to specialise in modern quantitative finance and computational techniques essential for careers in asset structuring, product pricing, and risk assessment. Key topics include machine learning algorithms, derivative securities, portfolio management, and financial ethics.
Application fees
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1st year tuition fees
27.55L
Living cost
Applicants should have a 2:1 UK Bachelor honours degree or equivalent in areas such as Computer Engineering, Computing, Computer Science Engineering, Software Engineering, or Economics, especially with a strong element of Maths, Physics, or Engineering. Professional qualifications or relevant experience may also be considered.

English language test
Want to learn more about the admission process, eligibility criteria,
and acceptance rates for international students? Visit the Royal Holloway University of London admission page
for complete details.
Demand for data scientists and quantitative finance specialists is high worldwide. Royal Holloway’s graduates have a strong track record of securing roles in top firms like VMWare, UBS, and Shell, often during their studies. The course prepares students for careers in asset management, financial analytics, risk management, and financial technology, with support from the university’s career services and industry events.