Financial Computing and Data Science

ucl

Industrial Partners

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

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  • 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.

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  • 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.

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  • 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.

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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.

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How to apply

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

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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.

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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.

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