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  • DeadlineStudy Details: 12 months full-time

Masters Degree Description

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 quantitative skills to move into the financial industry. No specific knowledge of finance as an academic subject is assumed at the outset of the course, but it will build on your knowledge of related areas and by the end of the course you will be well equipped to embark on careers in finance, especially those with a quantitative emphasis.

The programme will prepare you for a career in financial engineering and risk management in varied roles, for example 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

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Fees

See our website for fees

Student Destinations

We work closely with the University's Careers Service, which offers advice and guidance on career planning, and looking for and applying for jobs. In addition, they administer and publicise graduate and work experience opportunities.

Our graduates
Our graduates have gone on to find careers with companies such as Deloitte, PWC, Bank of Ireland and BlackRock, among others.

Job titles include:

Business Change Consultant
Advisor to CEO
Manager Transfer Pricing Economist
Risk Officer
Trainee Actuarial Analyst
Management Trainee

Module Details

Core modules:

Foundations of Probability & Statistics
Principles of Finance
International Financial Markets & Banking
Big Data Technologies
Financial Stochastic Processes

Optional modules:

Behavioural Finance
Fixed Income Analysis
Equity Analysis
Portfolio Theory & Management
Derivatives & Treasury Management
Financial Econometrics
Statistical Machine Learning
Database & Web Systems Development
Machine Learning for Data Analytics
Evolutionary Computation for Finance

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