the United Kingdom
University of East Anglia (UEA)| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| MSc | Full-time | find out | find out | find out | find out |
Study
MSc Quantitative Financial Economics is a one year applied training degree designed to develop your knowledge and understanding of the economics of quantitative financial economics with an emphasis on financial markets and asset pricing models. This course provides training that places specialist areas in a wider economic context and shows how the insight from economics can improve workplace performance and fits into UEA's Applied Training Programme.
Structure
You will take compulsory modules in economics, financial econometrics, financial markets, international finance and risk management and trading. Assessment will be carried out through combinations of coursework and exams. You will also write a dissertation on a topic of your choice. There are specialist modules designed for this programme, including Financial Markets and Risk Management and Trading. There is the option to take the module Money and Banking in which you will consider the role of money, central banking and monetary policy and gain an insight into the global financial system and challenges it has faced.
Teaching
Teaching is provided by members of academic staff, often in a relatively informal learning environment, and programmes incorporate lectures, seminars, and practical work, including computer lab sessions. Teaching in UEA's School of Economics is informed by cutting edge research and practice; members of academic staff advise the European Commission, the Office of Fair Trading and other institutions, and their day-to-day experience in the running of competition policy gives a practical angle to the academic rigour of their teaching.
Employability
This degree programme will lay the foundations for a career in a wide range of financial professions. You will develop specific skills highly relevant in the workplace. These include training in the use of statistical and quantitative software packages (e.g. STATA).
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