PhD's in Computer Science, Economics, Finance, Mathematics, Statsitics and Physics

Financial Computing spans Financial IT, Computational Finance and Financial Engineering. The research areas include software engineering, computational statistics and machine learning, network, high performance computing, mathematical modelling, statistical & signal processing etc.
The PhD programme is four years with the student following a Masters programme in the first year and then working on an applied research project with one of our financial industry partners during years 2-4.

4-year Studentship Available (MSc + PhD)
As leading banks and funds become more scientific, the demand for excellent PhD students in the above disciplines is soaring.
University College London (UCL) in collaboration with the London School of Economics (LSE) and the London Business School (LBS) and twenty leading financial institutions have been awarded £7m (€8m) by the UK Government to establish a national PhD training centre in Financial Computing.
The PhD Centre can provide funding for UK and EU students, and will endeavour to obtain financial support for Non-EU (foreign) students.
Our industrial partners include: Abbey/Santander, Aspect Capital, Barclays, Bank of America, Barclays Capital, BNP Paribas, Citi, Credit Suisse, Deutsche Bank, HSBC, LloydsTSB, Merrill Lynch, MAN Group, Morgan Stanley, Nomura, RBS, Thomson Reuters and UBS.
Students interested in joining the PhD programme at UCL, LSE or LBS, and applying for funding should register with:
Students wishing to discuss the programme should contact:
Mrs. Yonita Carter
Centre Manager
UK PhD Centre in Financial Computing
University College London
Gower Street
London WC1E 6BT
T: +44 20 7679 0359
E:
y.carter@cs.ucl.ac.uk