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University of Essex homepage Course Finder Computational finance
Subject

Computational finance

Blending computation, economics and finance.

Computational finance
Masters Research
The explosion of data and computer power has made classical quantitative finance techniques obsolete.

To succeed in the finance industry, you need a mixture of competences rooted in finance, economics and computer science. We deliver rigorous training in these disciplines by covering principles of quantitative finance and microeconomics alongside current computational skills. We focus on established and emergent technologies to deal with big data, such as machine learning, and decentralised exchanges, including blockchain.

Why study here?
  • You will be taught by experts from industry, including HSBC, Deutsche Bank, Credit Suisse, Invesco and Bank of England.
  • Take a summer internship with a leading fintech company hosted by established banks such as BNP Paribas and JP Morgan.
  • Our research-led teaching looks at innovative computational models for the financial markets, such as blockchain.
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Subject area: Computer science
Our Masters degrees in computer science cover a broad range of areas, including computer games, data science, and artificial intelligence.
Subject area: Finance
If you're ambitious to succeed in the financial sector, discover our finance degrees at Essex Business School.
Subject area: Economics
Economic recovery is probably one the most pressing and urgent challenges right now and studying an economics degree gives you the unique tools to take on this challenge, find a solution, and improve well-being.
We offer supervision in: algorithmic game theory; theoretical computer science; AI for finance; blockchain; high-frequency finance; and financial mathematics.

We provide a vibrant and multidisciplinary research environment so our PhD students publish papers in prestigious international conferences and often attract the attention of industry and government. Our graduates have gone on to become quantitative analysts, portfolio managers and software engineers at institutions such as HSBC and Mitsubishi UFJ Securities.

Why study here?
  • Our highly cross-disciplinary expertise covers different aspects of the interplay between computer science, economics and finance.
  • Gain practical hands-on skills and undertake projects alongside industry experts.
  • Develop professional networks with our strong industry and Government links.
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Centre for Computational Finance and Economic Agents (CCFEA)
We do cutting-edge work combining economic and financial modelling with computational implementation.
Research Group: Artificial Intelligence
Our research covers five specialist interest areas: Analytics and Data Science; Computational Finance and Economics; Natural Language and Information Processing; Games and AI; and Health AI.
Research degrees from the School of Computer Science and Electronic Engineering
Find out more about our research degree types, how to apply, and current studentship opportunities.
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