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- PhD Computational Finance
Course options
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Qualification
PhD/DPhil - Doctor of Philosophy
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Location
Colchester Campus
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Study mode
Full time
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Start date
JAN-25, APR-25
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Duration
4 years
Course summary
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.
Your future
Graduates of our Centre 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.
We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry. Several our students have held internships with prestigious City institutions, such as HSBC, Old Mutual and the Bank of England.
Modules
Tuition fees
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£ 18,750per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
30th
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Campus address
University of Essex, Wivenhoe Park, Colchester, Essex, CO4 3SQ, England
Subject rankings
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Subject ranking
55th out of 103 1
41st out of 117 5
42nd out of 65 1
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Entry standards
/ Max 227116 51%62nd
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Graduate prospects
/ Max 10062.0 62%59th
11 -
Student satisfaction
/ Max 43.03 76%75th
3 -
Entry standards
/ Max 227134 59%49th
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Graduate prospects
/ Max 10090.0 90%28th
15 -
Student satisfaction
/ Max 43.00 75%63rd
32 -
Entry standards
/ Max 234132 56%46th
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Graduate prospects
/ Max 10085.0 85%17th
9 -
Student satisfaction
/ Max 43.00 75%48th
11