Research course

Computational Finance

Institution
University of Essex · Centre for Computational Finance and Economic Agents - CCFEA
Qualifications
PhD

Entry requirements

Masters degree in relevant subject area.

PhD.

Months of entry

January, April, October

Course content

We offer research supervision for our PhD Computational Finance in the following fields: agent-based modelling of financial markets; computational risk management; high-frequency finance; and the use of computational-intelligence methods for investment decision making. We provide a vibrant research environment so our PhD students publish papers in prestigious international conferences and often attract the attention of industry and government; one of our PhD students was recently invited to present their research on term structure models to the Bank of England and many others get the opportunity to directly apply their research through internships at investment banks and hedge funds.

Our graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including major investment banks like HSBC and Mitsubishi UFJ Securities.

Please note, part-time research study is also available.

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation.

We are supported by Essex's highly rated Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School. Our research is geared towards practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.

Department specialisms

CCFEA is an innovative, interdisciplinary and laboratory based centre, based within the School of Computer Science and Electronic Engineering, which is a show case for cutting-edge computational and evolutionary methods to simulate artificially intelligent agents in market and other complex economic environments.

Information for international students

IELTS 6.

Fees and funding

We offer many funding opportunities to support talented postgraduates, ranging from research council studentships and University scholarships to awards funded by charities and other external organisations. For more information, see: www.essex.ac.uk.

Qualification and course duration

PhD

full time
36 months

Course contact details

Name
Graduate Administrator
Email
research-ccfea@essex.ac.uk
Phone
+44 (0)1206 874 876