Birkbeck, University of London

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.

Entry requirements

The normal requirement is a first-class or good second-class degree (2.1 or better) from a UK university, or an overseas university qualification of an equivalent standard in a quantitative subject, such as mathematics, physics, statistics, economics or engineering. Alternatively a merit or higher in our Graduate Diploma in Finance or Financial Engineering. Work experience will be taken into account in assessing applications. If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.

Course modules

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.

Assessment methods

Coursework, examinations and a dissertation.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time October 2016 GBP 11,950 per Year 1 (England) 1 years
MSc Full-time October 2016 GBP 17,500 per Year 1 (International) 1 years
MSc Full-time October 2016 GBP 11,950 per Year 1 (Northern Ireland) 1 years
MSc Full-time October 2016 GBP 11,950 per Year 1 (Scotland) 1 years
MSc Full-time October 2016 GBP 11,950 per Year 1 (Wales) 1 years
MSc Part-time October 2016 GBP 5,975 per Year 1 (Northern Ireland) 2 years
MSc Part-time October 2016 GBP 5,975 per Year 1 (Scotland) 2 years
MSc Part-time October 2016 GBP 5,975 per Year 1 (Wales) 2 years
MSc Part-time October 2016 GBP 5,975 per Year 1 (England) 2 years
MSc Part-time October 2016 GBP 8,750 per Year 1 (International) 2 years
MSc Full-time October 2017 - 1 years
MSc Part-time October 2017 - 2 years

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Bloomsbury Campus Bloomsbury WC1E 7HX South East

Get in touch

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Key information

Contact: 
Department of Economics, Mathematics and Statistics
Telephone number: 
020 7631 6429