Quantitative Finance MSc

University of Strathclyde Department of Mathematics and Statistics

Full time September MSc 12 months full-time

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FindAMasters summary

Are you fascinated by the world of finance and have a strong aptitude for mathematics? Look no further than the Quantitative Finance MSc programme at Strathclyde Business School and the Faculty of Science. This innovative cross-faculty alliance is designed for individuals with diverse backgrounds who want to enter the financial industry. Gain a deep understanding of financial theory, analysis, and markets, while also developing practical skills in numerical methods and programming. With a strong emphasis on industry-based projects and work placements, this programme prepares you for a successful career in financial engineering and risk management. Join us and unlock your potential in the dynamic world of finance.

About the course

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 a hedge fund manager or financial analyst.

Entry Requirements

Minimum second-class Honours degree or international equivalent in:

- engineering
- science subjects (eg physics, chemistry or computing science)
- business subjects (eg business studies, accounting or economics)

Mathematics/statistics graduates should contact the course director to discuss their application.

Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply.

For Australia and Canada, normal degrees in relevant disciplines are accepted.

This MSc requires some prior mathematical knowledge for example:

A Level or equivalent or undergraduate classes in:

Calculus
Linear Algebra
Differential equations
Probability
Statistics

If possible, please provide evidence of this in your application (eg transcript, certificate, etc)