MSc Financial Technology (Computer Science)

Our MSc Financial Technology (Computer Science) course give you the understanding of the specifics and the intricacies of financial and economics markets, the ability to apply advanced computing methods and the ability to design and program solutions that successfully exploit the synergy between finance, economics, and computation.

Our course will cover areas including:

  • financial markets
  • big data analytics
  • blockchain
  • AI
  • python programming

Our course will give you both the theoretical and technical skills that are specific for the finance industry, as well as transferable skills such as the ability to develop and present an argument, and the ability to work independently and in groups.

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Modules

  • Compulsory modules
  • CCFEA MSc Dissertation
  • Computational Market Microstructure for FinTech and the Digital Economy
  • Introduction to Programming in Python
  • Big Data in Finance
  • Big-Data for Computational Finance
  • Options modules
  • Corporate Finance
  • Derivative Securities
  • Portfolio Management
  • Financial Modelling
  • Risk Management
  • Data Analysis: Cross Sectional, Panel and Qualitative Data Methods
  • Modern Banking
  • Bank Strategy and Risk
  • Introduction to Financial Market Analysis
  • Quantitative Methods in Finance and Trading
  • Computational Models in Economics and Finance
  • Financial Engineering and Risk Management
  • Economics of Banking
  • Economics of Financial Markets
  • Behavioural Economics I: Individual Decision Making
  • Applications of Data Analysis
  • Use our magical AI system, to check your admission chances for this course.
    £22,400 Per Year

    International student tuition fee

    1 Year

    Duration

    Oct 2024

    Start Month

    Sep 2024

    Application Deadline

    Upcoming Intakes

    • October 2024
    • October 2025
    • October 2026

    Mode of Study

    • Full Time