Overview

Who is it for?

To successfully complete this 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 technical and mathematical techniques used in financial markets; but you don’t need to have a background in finance.

Objectives

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 the Matlab programming language in the core modules alongside other languages such as VBA, Python or C 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.

Structure

  • 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.

Assessment methods

Assessment

We review all our courses regularly to keep them up-to-date on issues of both theory and practice.

To satisfy the requirements of the degree course students must complete:

  • nine core courses (Eight at 15 credits each, one at 10 credits)

and either

  • five electives (10 credits each)
  • three electives (10 credits each) and an Applied Research Project (20 credits)
  • one elective (10 credits) and a Business Research Project (40 credits)

Assessment of modules on the MSc in Quantitative Finance, in most cases, is by means of coursework and unseen examination. Coursework may consist of standard essays, individual and group presentations, group reports, classwork, unseen tests and problem sets. Please note that any group work may include an element of peer assessment.

Induction weeks

The MSc in Quantitative Finance starts with two compulsory induction weeks, mainly dedicated to:

  • an introduction to careers in finance and the opportunity to speak to representatives from over 75 companies during a number of different industry specific fairs.
  • a refresher course of advanced financial mathematics, statistics, computing and electronic databases

Term dates

Term dates 2018/19

In-person ID-Checks (all students must attend): Commences 17 September 2018

Compulsory Induction: 18 - 29 September 2018

Term I
1 October 2018 - 7 December 2018
Term I exams
7 January 2019 - 18 January 2019

Term II
21 January 2019 - 29 March 2019
Term II exams
22 April 2019 - 3 May 2019

Term III
6 May 2019 - 28 June 2019
Term III exams
1 July 2019 - 12 July 2019

Resit period
Students who are required to resit an examination or invigilated test  will do so in the period:
12 - 30 August 2019

Submission deadline for Business Research Project or Applied Research Project 
1 September 2019

Official Course End Date
30 September 2019

Teaching staff

Course Director

Course director profile

Dr Dirk Nitzsche

Academic expert working at Cass Business School.

The teaching staff on the MSc in Quantitative Finance have many years of practical experience working in the financial services sector and are also active researchers in their fields.

This knowledge and experience inform the highly interactive lectures that make up the MSc in Quantitative Finance.

Module Leaders include:

Application

How to apply

Documents required for decision-making

  • Transcript/interim transcript
  • Current module list if still studying
  • CV
  • Personal statement (500-600 words)

Documents which may follow at a later date

  • IELTS result
  • Confirmation of professional qualification examinations/exemptions/passes, if applicable
  • Two references
  • Work experience is not a requirement of this course
  • For a successful application to receive an unconditional status all documents must be verified, so an original or certified copy of the degree transcript must be sent by post to Specialist Masters Programme Office, 106 Bunhill Row, London, EC1Y 8TZ, UK

We cannot comment on individual eligibility before you apply and we can only process your application once it is fully complete, with all requested information received.

Individual Appointments

If you would like to visit us to discuss your application please do arrange an individual appointment.

Entry requirements

  • A UK upper second class degree or above, or the equivalent from an overseas institution.
  • Your academic background should be in a highly quantitative subject such as mathematics, physics, engineering, economics or computer science and having covered areas such as statistics, linear algebra and calculus

Course Syllabus

You may be requested to provide a syllabus of specific modules undertaken during your studies as part of the assessment process. This is not required at the point of submitting an application and will be requested directly by the admissions team only if required as part of the assessment.

English language requirements

  • If you have been studying in the UK for the last three years it is unlikely that you will have to take the IELTS test
  • If you have studied a 2+2 degree with just two years in the UK you will be required to provide IELTS results and possibly to resit the tests to meet our requirements.

IELTS

The required IELTS level is an average of 7.0 with a minimum of 6.5 in the writing section and no less than 6.0 in any other section.

Read more

Please note that due to changes in the UKVI's list of SELTs we are no longer able to accept TOEFL as evidence of English language for students who require a CAS as of April 2014.

Fees

UK/EU/International £25,000 Tuition fees are subject to annual change

Deposit: £2,000 (paid within 1 month of receiving offer and non-refundable unless conditions of offer are not met)

First installment: Half fees less deposit (payable during on-line registration which should be completed at least 5 days before the in-person ID–checks)
Second installment: Half fees (paid in January following start of course)

Information about Scholarships

Career pathways

The job opportunities for students from the three quants masters programmes are very similar. similar. They usually find employment with large investment banks, but also some smaller boutique finance firms, hedge funds or other specialist companies.

Working as a general or technical analysts, risk management position, working on fixed income security desks and the asset management industry including hedge funds are typical jobs which students from the MSc Quantitative Finance go into. Energy companies, such as Npower, have also recruited quants students. Students from the MSc Quantitative Finance will have covered more topics relating to forecasting and regression analysis.

You will also have the skills to study for a PhD in the area of quantitative finance and financial markets.

Course information and statistics

Man
24
average age of student body
Search
7
applications received per place available
Globe
11
nationalities in 17/18 cohort
Diploma/ certificate
7.1
average IELTS score for 17/18 cohort