Birkbeck, University of London
Financial Risk Management
The programme is demanding and challenging. Its intention is to equip you with the broad range of statistical and mathematical tools needed to tackle practical real-world problems in financial risk management. Upon successful completion of this programme, you will have the expertise to: Identify and manage the major sources of risk in the financial markets. Understand the role of financial derivative products, their use (and misuse) and how they are priced. Analyse financial data and specifically build risk models, detect trends in data, test a given hypothesis and forecast future values. Build an investment portfolio (of risky assets) and carefully monitor its performance through time.
The programme begins with a September module in Quantitative Techniques, which introduces you to mathematical and statistical techniques. You must pass examinations in this module to progress to the MSc programme itself. Core modules: Credit Risk Management; Dissertation MSc Finance; Financial Econometrics I; Financial Econometrics II; Market Risk Management; Mathematics of Financial Derivatives; Portfolio Theory; Quantitative Techniques . Option modules: Asset Management; Banking and Regulation; Commodities and Commodities Derivatives, Computational Methods for Commodities; Corporate Finance; Financial Markets and Crises; Forecasting Economic and Financial Time Series . Dissertation. The option modules offered may vary from year to year and depend on factors such as timetables and student demand.
Coursework, examinations and a dissertation.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||October 2018||GBP 17,500 per Year 1 (International)||1 Years|
|MSc||Full-time||October 2018||GBP 11,950 per Year 1 (Home/EU)||1 Years|
|MSc||Part-time||October 2018||GBP 8,750 per Year 1 (International)||2 Years|
|MSc||Part-time||October 2018||GBP 5,975 per Year 1 (Home/EU)||2 Years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Bloomsbury Campus||WC1E 7HX||London|
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Department of Economics, Mathematics and Statistics