Study Details: 1 year
Help build a successful career as a quantitative analyst on this one-year MSc programme in Computational Finance. You'll benefit from UCL’s renowned expertise in computational statistics and machine learning to acquire the advanced quantitative, modelling and programming skills essential for ‘quant’ roles in trading, research, regulation and risk management.
A minimum of an upper second-class UK bachelor's degree (or international qualification of an equivalent standard) in a relevant discipline with a strong quantitative component evidenced by good performance in mathematics and statistics exams, i.e. with marks in these subjects not below a UK upper second-class or international equivalent level. There is not an exhaustive list of relevant disciplines, but individuals with a background in mathematics, physics, statistics, computer science, engineering, economics, or finance are encouraged to apply.
For fees and funding options, please visit website to find out more.
UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.
Graduates are well-prepared for careers in traditional financial services, fintech companies, consulting firms, or technology roles within financial institutions. The programme also provides the entrepreneurial knowledge needed to thrive in the start-up ecosystem. According to data from the Graduate Outcomes survey , popular employers include UBS, HSBC and JP Morgan Chase.
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