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An upper second class UK Bachelor's degree (or equivalent overseas qualification) in a relevant discipline with a strong quantitative component evidenced by good performance in mathematics and statistics exams. Good performance is defined as scores in these subject not falling below a UK 2.1, or international equivalent level). There is not an exhaustive list of relevant disciplines, but individuals with a background mathematics, statistics, physics, computer science, engineering, economics and finance are encouraged to apply.
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good.
Further information can be found on our English language requirements page.Pre-Master's and Pre-sessional English
UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses
Months of entry
Students develop an advanced knowledge of computational methods in finance, which is a prerequisite for a successful career in the financial industry within 'quant' teams. Quants (quantitative analysts) design and implement complex models and are sought after by banks, fund managers, insurance companies, hedge funds, and financial software and data providers.
The UCL MSc Computational Finance programme has been ranked 5th in Europe and 19th in the world by Risk.net's Quant Finance Master's Guide 2020.
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).
UCL Computer Science hosts the Centre for Doctoral Training in Financial Computing and Analytics, which is the only one of its kind in the UK.
UCL's central London location is ideally close to one of the world's most important financial centres, with which UCL pioneers industrial/academic engagements. Students of the MSc Computational Finance programme will benefit from teaching by practitioners in the City of London and summer projects done within placements at financial companies and organisations based in London.
Fees and funding
Please see UCL website for full information about fees and costs for this programme.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
The programme is delivered through a combination of lectures, tutorials, seminars, and project work. It comprises two terms of teaching, followed by examinations and a dissertation. Assessment is through coursework, unseen examinations and a dissertation.
Course contact details
- +44 (0)20 3108 5641