Why this course?
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 – an innovative cross-faculty alliance between the Strathclyde Business School and the Faculty of Science – 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.
This course will prepare you for a career in financial engineering and risk management. Careers include roles as a hedge fund manager or financial analyst.
- 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 you’ll 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.
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.
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.
- Foundations of Mathematical & Statistical Finance
- Principles of Finance
- International Financial Markets & Banking
- Foundations of Computer Science
You're required to take 60 credits of optional classes from those listed below to ensuring that your curriculum contains 20 credits from each list. You should refer to relevant programme regulations in the University calendar regarding class selection requirements and credits in order to meet the programme requirements.
- Behavioural Finance
- Security Analysis
- Portfolio Theory & Management
- Derivatives & Treasury Management
- Database & Web Systems Development
- Business Analytics
- Evolutionary Computation for Finance
- Financial Stochastic Processes
- Financial Econometrics
- Games & Networks in Finance
Compulsory module for students enrolled on the MSc.
- Research Project
Learning & teaching
Classes are delivered by a number of teaching methods:
- lectures (using a variety of media including electronic presentations and computer demonstrations)
- computer laboratories
Teaching is student-focused, with students encouraged to take responsibility for their own learning and development. Classes are supported by web-based materials.
The form of assessment varies from class to class. For most classes the assessment involves both coursework and examinations.
An Honours degree, or overseas equivalent, in accounting, economics, engineering, business studies or a subject area with a strong quantitative element.
Applications are also welcome from those with appropriate professional qualifications, or those who can demonstrate relevant practical experience.
Pre-Masters preparation course
The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.
Fees & funding
How much will my course cost?
All fees quoted are for full-time courses and per academic year unless stated otherwise.
2015/16 - £7,200
- Rest of UK
2015/16 - £7,200
2015/16 - £13,200
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 – Accounting & Finance, Mathematics & Statistics, and Computer & Information Sciences – 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.
We also work closely with the University's Careers Service. They offer advice and guidance on career planning and looking for and applying for jobs. In addition they administer and publicise graduate and work experience opportunities.
This school offers programs in:
Last updated November 8, 2015