12 months
38000 GBP/year
26600 GBP/year
Tuition fee
Apply date
Start date


With the Computational Finance programme offered at the University College London (UCL), 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' (development analysts) design and implement complex models and are sought after by banks, fund managers, insurance companies, hedge funds, and financial software and data providers.

This Computational Finance programme offered at the University College London (UCL) comprises advanced modules on quantitative and modelling skills, which are essential for 'quant' roles in trading research, regulation and risk. This applied MSc programme is distinctive in that it provides a solid mathematical and statistical foundation together with an education in advanced-level programming.


This is a relatively new programme and therefore no specific information on graduate destinations is currently available. UCL Computer Science graduates typically find work in financial institutions such as Credit Suisse, JP Morgan, Morgan Stanley, and Deutsche Bank as financial analyst application developers, quant developers, and business managers. The University of Cambridge and UCL are among top further study destinations.


Our graduates are particularly valued as a result of the department's international reputation, strong links with industry, and ideal location close to the City of London. Graduates are especially sought after by leading finance companies and organisations.

Programme Structure

Courses included:

  • Financial Data and Statistics 
  • Financial Engineering 
  • Financial Market Modelling and Analysis 
  • Applied Computational Finance 
  • Database and Information Management Systems 
  • Financial Institutions and Markets
  • Machine Learning with Applications in Finance 

Key information


  • Full-time
    • 12 months

Start dates & application deadlines

More details
    • We recommend you apply as soon as possible. The programme may remain open if places are still available and will be closed as soon as it is full or by 30 June.


180 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • An upper-second class UK Bachelor's degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering or a similarly quantitative subject. 
  • Programming experience is an advantage but is not mandatory. Relevant work experience is also taken into account.

Tuition Fee

To alway see correct tuition fees
  • International

    38000 GBP/year
    Tuition Fee
    Based on the tuition of 38000 GBP per year during 12 months.
  • National

    26600 GBP/year
    Tuition Fee
    Based on the tuition of 26600 GBP per year during 12 months.

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Computational Finance
University College London (UCL)


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