Who is it for? Would you like to forecast the future of the financial market?
The MSc in Quantitative Finance will give you the skill to use financial econometrics forecasting models for risk management, scenario analysis and stress testing. Enabling you to make informed decisions on future investments.
To successfully complete the Quantitative Finance course, you must have a good understanding of mathematics.
You may well have studied finance, economics, engineering or maths or physics as an undergraduate. Or you might have a bachelor’s degree in a science subject, in particular computer science.
You should have a general interest in mathematics and statistics, including the more quantitative and mathematical techniques used in financial markets; but you don’t need to have a background in finance. Objectives You will study core modules focusing on asset pricing, risk management and introductions to key financial securities such as equities, fixed income securities and derivatives.
From there you will progress to specialist learning in econometrics and cover a large amount of stochastic modelling and numerical methods.
You will cover basic and advanced topics in econometrics including ARCH and GARCH models, co-integration and dealing with high frequency data.
You will work extensively with programming language in the core modules. You will be taught Python and Matlab during the first two terms, and you will have the opportunity to learn other programming languages as part of our electives offering, such as VBA or C.
Term three offers you flexibility within your masters; either by writing a dissertation or undertaking a project, or by completing your postgraduate degree entirely choosing electives.
*You might still see us referred to as Cass Business School. Find out more about our name change. ]]