MSc Financial Technology (Computer Science) at University of Essex

Programme overview

MSc Financial Technology (Computer Science) develops the theoretical and technical skills needed in FinTech, combining financial and economic markets with advanced computing methods. It is taught with the Centre for Computational Finance and Economic Agents, Essex Business School and the Department of Economics.

Department: School of Computer Science and Electronic Engineering | Duration: 1 year full-time | Intake: October 2027 | Study mode: full-time; part-time | Location: Colchester, England, United Kingdom

What you will study

Core and compulsory modules are CCFEA MSc Dissertation (40 credits), Computational Market Microstructure for FinTech and the Digital Economy, Programming for Data Scientists, Big Data in Finance, Machine Learning for Finance and Financial Derivatives (20 credits each), with 40 credits of options.

Career pathways

Algorithmic and high-frequency trading, RegTech, electronic money institutions, data analysis, AI and machine learning, cyber security, development, UX design, and research degrees in computational finance.

Official programme page

Application information

Entry requirements

A 2:2 degree in Computer Science, Economics, Engineering, Finance, Maths, Physics or Statistics (no module requirements). Any other 2:2 degree or above is considered if it includes at least one Maths or Econometrics module (for example calculus, differential equations, econometrics, probability, statistics or stochastic processes). English language: IELTS 6.0 overall with at least 5.5 in each component.

Domestic applicants: GBP 13,375 a year. Fee listed for October 2027 entry; page does not state the academic year. Source

International applicants: GBP 25,925 a year. Fee listed for October 2027 entry; page does not state the academic year. Source

Intake: October 2027

Duration: 1 year full-time

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