Course Overview

The MSc in Quantitative Risk Management with Machine Learning has been designed to meet this demand. The program will provide you with the knowledge and 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 analyze 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.

General Eligibility

A second-class honors degree (2:2) or above in a quantitative subject, such as mathematics, physics, statistics, economics, or engineering. Alternatively, merit or higher in our MSc Finance.

Part Time Work Details

Language Requirement

• 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.