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MSc Mathematical Trading and Finance

  • DeadlineStudy Details:

    12 months full-time

Course Description

In our postgraduate programme in Mathematical Trading and Finance, you’ll explore how financial innovation and globalisation have created new investment opportunities. Develop the quantitative skills and mathematical techniques used in financial markets, and learn how to develop algorithms for optimal investment decisions across various asset classes.

Core modules in quantitative trading and structuring differentiate this course from other quantitative finance courses. You’ll also focus on the theory of finance and different financial assets, exploring how these assets are priced and used for asset management or risk management purposes. You’ll build the mathematical and statistical skills needed in quantitative finance, including some stochastics. You’ll learn Python, and can choose to learn other programming languages, such as Matlab and VBA, as electives.

Entry Requirements

  • A UK upper second class degree or above, or the equivalent from an overseas institution.
  • Your academic background should be in a highly quantitative subject such as mathematics, physics, engineering, economics or computer science and having covered areas such as statistics, linear algebra and calculus.
  • Work experience is not a requirement for this course.

Fees

See our website for fees

Student Destinations

Recent graduate of the MSc in Mathematical Trading and Finance programme have secured positions in companies including:

  • Analyst – Global Markets – BNP Paribas
  • Financial Structuring – Dealing Room – National Bank of Greece
  • FICC electronic trading sales – Global Markets – Credit Agricole
  • Analyst – AIM Trade Desk – Bloomberg
  • Intern – Equity Digital Market – J.P. Morgan

Previous graduates have gone on to work in financial services, insurance, investment banking and assetmanagement, across Asia, the UK and EU.

Module Details

What will you learn

  • Learn technical and practical skills useful for a career in front or middle office positions.
  • Apply your new tools and knowledge in projects that put theory into practice.
  • Benefit from our researchers’ expert experience in the financial sector and the knowledge they share in the classroom.
  • Create a course to match your aims, with a range of electives and the choice of an applied research or business research project, or electives-only, in term three.
  • Build your network of professional connections as you learn in the heart of the financial district, the City of London, surrounded by large and small financial organisations with strong links with Bayes.

 

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