MSc in Quantitative Finance
On the Quantitative Finance masters you will learn technical and practical skills useful in pursuing a career in front or middle office positions.
Who is it for?
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.
You’ll 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’ll progress to specialist learning in econometrics, and cover a large amount of stochastics and numerical methods.
You’ll cover basic and advanced topics in econometrics including ARCH and GARCH models, co-integration and dealing with high frequency data.
You will also have the opportunity to work with a number of different estimation techniques, including OLS, Maximum Likelihood and GMM.
You’ll work extensively with programming language in the core modules. In term 1 the focus of programming teaching is on Python alongside other languages such as VBA or Matlab which are also available as optional modules.
You’ll choose five from around 40 optional modules in your final term. You can also choose to complete a traditional dissertation, which counts for four optional modules, or a shorter ‘applied research project’, which is the equivalent of two optional modules.
What will you learn
- You will have gained a good understanding of the technical aspects used in financial markets, starting from the financial theory, looking at different financial instruments and showing various applications of the theoretical concepts.
- You will gain a good understanding of stochastics, mathematical finance and econometrics as well as some programming.
- You will also obtain a very good understanding of different financial assets, in particular derivatives, and how they can be used in different context, such as risk management, asset management or structuring
- You will have three different possibilities to complete your degree in the third term, including writing a dissertation or an applied project. You can also opt to gain all the credits through taught electives.
- Popular electives include Behavioural Finance, Trading and Hedging in the FOREX Market, Technical Analysis, Hedge Funds or Python.
All of our MSc courses start with two compulsory induction weeks which include relevant refresher courses, an introduction to the careers services and the annual careers fair.