Studyportals
M.Sc. On Campus

Computational Finance

University College London (UCL)

12 months
Duration
36900 GBP/year
25800 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

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. 

Overview

'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.

Careers

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.

Employability

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

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

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

    36900 GBP/year
    Tuition Fee
    Based on the tuition of 36900 GBP per year during 12 months.
  • National

    25800 GBP/year
    Tuition Fee
    Based on the tuition of 25800 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.

Funding

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.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Our partners

Computational Finance
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University College London (UCL)

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