MSc Quantitative Finance

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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

The MSc in Quantitative Finance has been developed to address the demand for market-aware graduates who can demonstrate an understanding of mathematical models used in financial tools, products and software.

The course is an innovative cross-faculty alliance between Strathclyde Business School and the Faculty of Science. It's been designed for those with a strong aptitude for mathematics, statistics and computing who haven't studied these topics in detail in their undergraduate degree. The course allows students with different degree backgrounds to learn the necessary skills to move into the financial industry.

The programme will prepare you for a career in financial engineering and risk management leading to roles as hedge fund manager or financial analyst.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Foundations of Mathematical & Statistical Finance
  • Principles of Finance
  • International Financial Markets & Banking
  • Big Data Technologies (20 credits)
  • Behavioural Finance
  • Security Analysis
  • Portfolio Theory & Management
  • Derivatives & Treasury Management
  • Database & Web Systems Development
  • Machine Learning for Data Analytics
  • Evolutionary Computation for Finance
  • Financial Stochastic Processes
  • Financial Econometrics
  • Networks in Finance
  • Research Project
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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