Taught course

Quantitative Risk Management with Machine Learning

Institution
Birkbeck, University of London · Economics, Mathematics and Statistics
Qualifications
MSc

Visit the institution website for COVID‑19 updates

Entry requirements

A second-class honours degree (2:2) or above in a quantitative subject, such as mathematics, physics, statistics, economics or engineering.

Alternatively, a merit or higher in our MSc Finance.

Applications are reviewed on their individual merits and your professional qualifications and/or relevant work experience will be taken into consideration positively. We actively support and encourage applications from mature learners.

Months of entry

September

Course content

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.

Highlights
  • This course combines a high level of academic rigour with a solid grounding in practical problem-solving skills.
  • The emphasis is on machine learning, the branch of data science which is reshaping the finance industry. You will learn the statistical techniques and machine learning tools that are used widely in financial risk management and you will also learn how to programme Python and R.
  • We have an excellent reputation for the quality of our teaching, which includes providing training for the Treasury and the Bank of England.
  • Birkbeck's Department of Economics, Mathematics and Statistics enjoys an international reputation and its economics and finance research groups stand among the foremost research groups in the country.
  • In the most recent Research Excellence Framework (REF), more than half of our research outputs in Economics were ranked world-leading or internationally excellent.

Information for international students

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.

If you don't meet the minimum IELTS requirement, we offer pre-sessional English courses and foundation programmes to help you improve your English language skills and get your place at Birkbeck.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Student Advice Service
Email
studentadvice@bbk.ac.uk
Phone
+44 (0)20 3907 0700