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