MSc Financial Risk Management

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

This programme focuses on the risk management and the quantification of several types of risk such as financial, including market risk and some elements of liquidity and counterpart risk.

WHY THIS PROGRAMME

  • Financial Risk Management will provide you with a thorough understanding of advanced econometric analysis; theories of risk, including bond market interest rate determination, market risk, liquidity risk and counterpart risk; the role and impact of financial regulations.
  • It will equip you with up to date risk management skills for the quantification of risk and the optimal asset allocation. These skills are essential for managing and hedging market, credit and interest rate risks.
  • You will have access to statistical packages, such as MATLAB and EViews, and a dedicated computer lab that will enable you to put theory into practice.

CAREER PROSPECTS

As a graduate you will be qualified to work in risk management, asset management companies, hedge funds, wealth management banks and central banks. Graduates have found employment with companies such as Morgan Stanley, HSBC, KPMG, and the Royal Bank of Scotland. We have a dedicated careers and employability team who provide 1-2-1 support and advice, group workshops, employer events on campus and networking opportunities throughout the year to help you with your career prospects.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • DISSERTATION GCEFS
  • FINANCIAL MARKETS, SECURITIES AND DERIVATIVES
  • HEDGE FUND RISK MANAGEMENT
  • MATHEMATICAL FINANCE
  • MODELLING AND FORECASTING FINANCIAL TIME SERIES
  • APPLIED COMPUTATIONAL FINANCE
  • BASIC ECONOMETRICS
  • BEHAVIORAL ECONOMICS:THEORY AND APPLICATIONS
  • CORPORATE FINANCE AND INVESTMENT
  • FINANCIAL SERVICES
  • PORTFOLIO ANALYSIS AND INVESTMENT
  • MACHINE LEARNING IN FINANCE WITH PYTHON
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs