Master of Science in Quantitative Finance

City, University of London

UK,England

 0 Shortlist

12 Months

Duration

CAD 31,500/year

Tuition Fee

CAD 0 FREE

Application Fee

Sep 2025

Apply Date

UK, England

Type: University

Location Type: Urban

Founded: 1966

Total Students: 19,975 +

Campus Detail

Main Campus Address

Northampton Square, London EC1V 0HB, United Kingdom

Master of Science in Quantitative Finance

Program Overview

On the Quantitative Finance master’s you will learn technical and practical skills useful in pursuing a career in front or middle office positions.

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.

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