Financial Computing and Data Science


Industrial Partners

  • Lloyds Bank
  • Dunnhumby
  • Macquarie
  • Citi
  • Mishcon
  • Tesco
  • Morgan Stanley
  • AIG
  • JP Morgan
  • NatWest
  • Mizuho Bank
  • Barclays
  • Goldman Sachs
  • Marks & Spencer
  • Societe Generale
  • Unilever
  • HSBC
  • Standard Chartered Bank
  • Aviva
  • Nomura
  • LV
  • Credit Suisse
  • Bank of England
  • Aetna
  • Deutsche Bank
  • Santander
  • Schroders
  • BUPA
  • BNP Paribas
  • Clyde & Co
  • Financial Computing PhD Centre

    Financial Computing PhD Centre

    We are a national PhD training centre, covering financial IT, computational finance, analytics, financial engineering and data science. A unique interdepartmental and interfaculty collaboration at UCL .

    Read more

  • Our Finance Industry Partners

    Our Finance Industry Partners

    We have partnerships with many leading financial institutions and companies with data science orientation. Our PhD students work closely with industry advisors on applied research projects within these companies.

    Read more

  • Flexible PhD programme

    Flexible PhD programme

    4-year PhDs in a diverse range of research departments including computer science, mathematics, statistics, physics, psychology, mechanical engineering and other areas applicable to financial computing and analytics.

    Read more

  • Top Academic Resources

    Top Academic Resources

    With access to the most respected academic advisors in the field of financial computing and analytics, our students work with supervisors who can help them achieve a deep knowledge of their research subject areas.

    Read more

PhD Scholarships with leading companies

The Centre for Doctoral Training in Financial Computing & Data Science has a number of PhD Scholarships, jointly funded by UCL and leading companies in the financial and business sectors.

Read more

How to apply

Application steps and online forms for the PhD in financial computing.

Read more

Featured Students

Bogdan Batrinca specialises in the practical application of computational statistics for performance analysis in financial systems, involving the decomposition of mixed data signals in order to investigate the underlying factors contributing to the eventual performance and perform 'what-if' scenarios for trading systems.

We're researching:

Machine learning, algorithmic trading, stochastic calculus, portfolio theory, artificial intelligence...

Explore the specialist research topics of our enrolled PhD students at the PhD Centre in Financial Computing and Data Science.

Read more

About the Centre

We are a national Centre for Doctoral Training (CDT), covering financial IT, computational finance and financial engineering. A unique interdepartmental and interfaculty collaboration at UCL.

Read more

Powered by SoftForge