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UCLLSEImperial College London
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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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Photo Details
Xiaoxue ZHAO
Recommender systems
Michael Kusnetsov
Diana Borsa
Eric Schulz
Psychology and Statistics/Cognitive Science
Boglarka Szabo-Saxena
Neural Networks
Maria Elisabeth Boeker
Kacper Chwiałkowski
Algorithmic Trading Pre-Trade Analysis using Social Media & News data
Paula Parpart
Bayesian computational modeling of finance, Delevoping Bayesian methods by integration with heuristic decision strategies, Developing more accurate approximation algorithms to optimal Bayesian models (e.g., Integrating Monte Carlo methods with heuristic
Samuel Palmer
Behavioural finance, Swarm Optimisation
Volha Kolchyna

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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.