Quantitative Risk Management with Machine Learning (MSc)

In the wake of recent financial crises, major regulatory reforms have been imposed on the financial sector and this has led to a rise in demand for specialists in the field of financial risk management. The MSc in Quantitative Risk Management with Machine Learning has been designed to meet this demand. The programme will provide you with the knowledge and the quantitative skills that are needed for a career in financial risk management. You will gain in-depth knowledge of financial derivatives, portfolio management and the core areas of risk management, with particular emphasis on market risk and credit risk.

Upon successful completion of this course, you will have the expertise to identify and manage the major sources of risk in the financial markets. You will understand the role of financial derivative products, their use (and misuse) and how they are priced, and you will be able to analyse financial data and build risk models, detect trends in data, test a given hypothesis and forecast future values. You will also understand how to build an investment portfolio (of risky assets) and carefully monitor its performance over time.

Birkbeck's postgraduate finance courses are built around our long-running experience in research-led evening teaching. Many of our students work in the finance industry, which generates a lively atmosphere in class and ensures that you'll be studying alongside committed, enthusiastic students with a wealth of experience. You will be taught by active researchers, working at the cutting edge in their respective fields, who are also experienced professional practitioners, giving specialist advice and in-house training to government departments and banks and firms in the City of London. This course is challenging and demanding, so you should demonstrate strong intellectual ability in your application and be willing to work hard.