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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 degrees to learn the necessary skills to enter 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.
Academic requirements/experience
Minimum second-class Honours degree or international equivalent in:
engineering
science subjects (e.g., physics, chemistry or computing science)
business subjects (e.g., business studies, accounting or economics)
Mathematics/statistics graduates should contact the course director to discuss their application.
20 hours of work permit weekly for international students.
Compulsory classes
Foundations of Mathematical & Statistical Finance
Principles of Finance
International Financial Markets & Banking
Big Data Technologies
Elective classes
List A
Behavioural Finance
Security Analysis
Portfolio Theory & Management
Derivatives & Treasury Management
List B
Database & Web Systems Development
Machine Learning for Data Analytics
Evolutionary Computation for Finance
List C
Financial Stochastic Processes
Financial Econometrics
Networks in Finance
Research Project
IELTS 6.0 (with no component below 5.5).
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For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.
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