MSc Quantitative Finance and Mathematics

This masters in Quantitative Finance and Mathematics course introduces innovative modern mathematical techniques and financial modelling. It focuses on probability and stochastics, which are often not included in standard mathematics degrees. It’s been designed to include the practical and pragmatic aspects of mathematical finance – offering you relevant and modern skills relating to structured finance in demand in the UK and internationally. The aim is to understand, both quantitatively and qualitatively, the risks and uncertainty involved. And, the wide range of optional courses offers you the chance to tailor your learning experience to suit your interests.

Accreditation

We're proud to say our masters in Quantitative Finance and Mathematics exempts you from the examinations of the Professional Risk Managers International Association (PRMIA) Levels I and II – a world-renowned qualification. What’s more, you’ll have excellent employment prospects that will not be restricted to any one sector of financial services.

Career

Students who graduate from the programme will have excellent employment prospects that are not restricted to any one narrow sector of financial services.

Students will also achieve PGDip and PGCert awards in this course.

Read more

Modules

  • Modelling and Tools;
  • Derivative Markets and Pricing;
  • Research and Industry Topics.
  • Optimisation
  • Statistical Machine Learning
  • Functional Analysis (excludes F11DC and FUBC)
  • Statistical Methods
  • Financial Markets
  • Quantitative Risk Analysis
  • Stochastic Simulation
  • Numerical Analysis (PDE's)
  • Bayesian Inference
  • Modern Portfolio Theory
  • Advanced Derivative Pricing
  • Time Series Analysis
  • Financial Econometrics
  • Applied Risk Management
  • £21,280 Per Year

    International student tuition fee

    1 Year

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time