MSc Risk Management & Financial Engineering

Lead the risk management sector

MSc Risk Management & Financial Engineering is a highly quantitative one-year programme, designed to prepare recent graduates for careers in financial engineering and risk management. The programme, which is accredited by the Professional Risk Managers' International Association (PRMIA), is designed for technically-minded graduates who want a deep, analytical study of risk management and financial engineering.

You will learn how to put the latest academic thinking and business strategies into practice from leading practitioners and world class faculty, giving you a thorough and hands-on understanding of risk management.

Our London location and ongoing relationships with major employers in the finance sector provides the opportunity to meet and network with leading global organisations, and will help present yourself with confidence to the world’s top companies.

Programme content

This programme provides you with all the technical tools and knowledge you need to work effectively as a quant or risk specialist in a bank, hedge fund or investment fund. It is taught by a combination of our outstanding faculty and industry practitioners from the city, providing a good mix of the latest research findings from the Business School’s Risk Management Lad and unique industry developments from professionals working in the field.

Students who complete the MSc Risk Management & Financial Engineering programme successfully will be able to:

  • Demonstrate a detailed knowledge of fundamental finance theories and models including their derivation and their use and context in the measurement and management of risk
  • Apply mathematical tools to complex financial problems relating to risk measurement, risk management and risk pricing
  • Use a range of programming tools to develop live implementations of financial models and use these implementations in practice
  • Apply econometric theory and software to analyse and evaluate investment decisions and data, and draw valid conclusions
Rolling deadline