Why this course from University of Strathclyde?
Globally, financial tools, products and software are becoming increasingly complex and sophisticated. There's a demand for market-aware graduates who can demonstrate an understanding of mathematical models used in these products.
The MSc in Quantitative Finance Ð an innovative cross-faculty alliance between the Strathclyde Business School and the Faculty of Science Ð has been developed to address this need. The course has been designed so that students who have a strong aptitude for mathematics, statistics and computing but who have not studied these topics in detail in their first degree can learn the necessary skills to move into the financial industry.
YouÕll gain:
- a good understanding of financial theory and analysis
- an appreciation of financial markets
- a practical understanding of numerical methods in finance
- an introduction to programming for financial applications
- an understanding of the role of computers in business processes
What youÕll study
The curriculum provides a balance between finance and mathematical theory, computer implementations of this theory, and practical skills and knowledge.
Core classes are undertaken in the first semester, and address themes such as principles of finance and quantitative methods for finance, as well as foundation classes in mathematics, statistics and computing science.
Work placement
You may be able to undertake an industrial based MSc project. This takes place in the third semester of the course between June and September. The placement can be based in the UK or in another country and are typically paid internships. In 2014 we had students placed in banks in France and Malta.
Facilities
The Department of Mathematics & Statistics has teaching rooms which provide you with access to modern teaching equipment and access to University computing laboratories with all necessary software available.
You'll also have access to a common room facility which gives you a modern and flexible area which can be used for individual and group study work and is also a relaxing social space.
Careers
Financial tools, products and software are becoming increasingly complex and sophisticated and there's a need for the finance industry to self-regulate as it witnesses unprecedented growth. Market-aware finance graduates, who understand the mathematical models used to develop these products and their computer implementations will be much in demand by international organisations.
Drawing on expert academic input from three departments Ð Accounting & Finance, Mathematics & Statistics, and Computer & Information Sciences Ð this one-year programme has been developed to prepare participants for careers within areas such as financial engineering and risk management, and for highly quantitative roles, such as hedge fund managers and financial analysts.
