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Computational Finance MSc
UCL (University College London)

Student rating
(4)

Find out more about studying Computational Finance MSc at UCL (University College London)? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.

Different course options

DATA SOURCE:
UNISTATS, UCAS
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Qualification

MSc - Master of Science

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Location

UCL (University College London) - Bloomsbury Campus

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Study mode

Full Time

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Start date

Sep 2027

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Duration

1 Year

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Course info

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. As the financial sector becomes increasingly sophisticated, there is a growing demand for experts with skills spanning mathematics, finance, statistics, and computer science. Join us on this fast-paced MSc to lay the groundwork for a fulfilling career as a quant in just a year. You join the UCL Computer Science community — a world-renowned centre in computational finance and machine learning — to learn advanced quantitative, modelling and programming skills alongside our experts. The syllabus is constantly reviewed to stay ahead of trends. Modules include financial engineering, numerical methods, data science, and machine learning for finance, with optional modules in algorithmic trading, market microstructure, numerical optimisation, networks and systemic risk, and blockchain technologies. This programme is distinctive in that it covers a mix of mathematics, finance, statistics and computer science. Computational finance sits at the intersection of these subjects. Enhancing your skills in all these areas will put you one step ahead when going for quant jobs. This programme is ideal for you if you have an undergraduate degree in mathematics, statistics, physics, engineering, computer science (with exams in mathematics), economics or finance. The Computational Finance MSc requires previous studies in a quantitative subject which includes exams in mathematics. This should cover calculus and linear algebra, and optionally also differential equations, probability, statistics, econometrics and similar. If you aim to work as a ‘quant’ in finance, you will need a desire to extend your skillset with an applied, computational focus.

Tuition fees
Student living
£34,700 per year
Students from Domestic

A fee deposit will be charged at 2.5 percent of the first year fee.

DATA SOURCE:
UCAS / IDP Connect

Uni info

University College London (UCL) is consistently ranked among the top ten universities in the world, conducting leading r...

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CUG ranking 13th
UCL (University College London)
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