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Master of Science in Quantitative Finance

Master of Science in Quantitative Finance

at City, University of London United Kingdom

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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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

12

Duration

City, University of London

Location

Master of Science in Quantitative Finance Assistant Fee

$29500

Tuition Fee

$0

Average Cost of Living

$0

Application Fee

Master of Science in Quantitative Finance Admissions Requirements

  • Minimum Level of Education Required: To be accepted for this program, students must have a Bachelor's Degree.

     

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Where would you like to study*

Work Permit United Kingdom

There are various options through which a student can get a post study work visa in the UK. 
Tier 1 Graduate Entrepreneur Visa for the graduates with a genuine and credible business idea. 
Tier 2 (General) is the leading immigration visa to work in the UK.
Tier 4 Doctorate Extension Scheme is for students who have completed their Ph.D. and is valid for 12 months for them to work, look for work or set up a business. 
Tier 5 Youth Mobility is for individuals of certain countries like Australia, Canada, Japan, Monaco, Hong Kong, South Korea, Taiwan, and New Zealand aged between 18 -30 who wish to move to the UK. 
Tier 5 GAE is for individuals who want to come to the UK for work experience, training, research or a fellowship. 
UK Ancestry is for individuals who are a citizen of a commonwealth and plan to work in the UK and have a grandparent who was born in the UK.
 

Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

12

Duration

Study Visa

English Test Requirement

7.0

Minimum Overall Score

6.0

Minimum Listening

6.0

Minimum Reading

6.5

Minimum Writing

6.0

Minimum Speaking

100.0

Minimum Overall Score

69.0

Minimum Overall Score

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This course is a hybrid of Mathematics and actuarial science, designed to help you develop knowledge of mathematical methods and how to apply them to real-world problems.

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  • Become a graduate in demand – our students are highly sought after in financial sector, particularly risk assessment, insurance and statistical finance
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