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Centre for Doctoral Training in Financial Computing & Analytics

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The PhD in Financial Computing offers a unique opportunity to gain the skills and contacts required for work in the financial services industry. Competition for places is high, and students must achieve excellent academic qualifications in order to be selected for the course and secure funding.

Once on the course, students work proactively together - particularly in the first year when they participate in seminars, attend reading groups and other activities, and share workspace with each other. In subsequent years they move to work in different departments within the Centre. Some PhD students lecture to undergraduates on their research during the course.

PhD Student profiles
Explore the specialist research topics, interests and background details of students at the PhD Centre in Financial Computing.
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Qasim Nasar-Ullah
Computational Finance
Yasin Rosowsky
Non-Parametric Approaches to Time Series Forecasting
Christopher Bracegirdle
Joe Staines
statistics, finance
Man Hei Chan
Application of statistical models(GARCH), machine learning (GA), filtering techniques (Kalman Filter) into systematic trading
Sergio Alvarez
Quantitative Trading
Mohammed Ayub Hanif
High-frequency finance and algorithmic trading
Tom Bates
Mathematical Finance
Karolos-Konstantinos Korkas
Thomas Stone
Finance, Venture Capital, Entrepreneurship, Commercialisation

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Industry partners

We have partnerships with 20 leadng financial institutions.

Our PhD programme

Read about our programme structure, training facilities and work expected of Financial Computing PhD students.