Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 Year Full-time
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.
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.
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.
See our website for fees
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
Compulsory modules
Foundations of Mathematical & Statistical Finance
Principles of Finance
International Financial Markets & Banking
Big Data Technologies
Financial Stochastic Processes
Elective modules
You will take 50 credits of optional modules, choosing 20 credits of modules from each of Lists A and C and 10 credits from List B
List A
Behavioural Finance
Fixed Income Analysis
Equity Analysis
Portfolio Theory & Management
Derivatives & Treasury Management
List B
Networks in Finance
Financial Econometrics
Statistical Machine Learning
List C
Database & Web Systems Development
Machine Learning for Data Analytics
Evolutionary Computation for Finance
The place of useful learning The University of Strathclyde is a leading international technological university located in the heart of Glasgow – one ...
