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.

You should have a general interest in learning the more technical and mathematical techniques used in financial markets, but you don’t need to have a background in finance.

Objectives

The difference between the MSc Mathematical Trading and Finance to the other two quants courses (MSc Financial Mathematics and MSc Quantitative Finance) are core modules which focus on quantitative trading and structuring.

You’ll study core modules which focus on the theory of finance and different financial assets. You will look at how these assets are priced and used for asset management or risk management purposes.

The second type of core modules cover the mathematical and statistical aspects needed in quantitative finance, including some stochastics. This also includes learning some programming languages, in particular Matlab, but also VBA.  Finally, Term three offers you flexibility within your masters; either by writing a dissertation or undertaking a project. You can complete your degree entirely choosing electives.

Structure

What will you learn

  • You will have learned 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.
  • The MSc Mathematical Trading and Finance will also help you do understand the financial theory used in financial markets with an emphasis on practical applications.
  • You will three different possibilities to complete your degree in the third term, including writing a dissertation or an applied project.
  • You can also opt to get 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 Mathematical Trading and 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 Mathematical Trading and Finance course starts with two compulsory induction weeks, focused on:

  • 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 reminder course of advanced financial mathematics, statistics and basic computing which forms a prerequisite of the core modules in term 1.

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

Senior Lecturer in Finance

The teaching staff on the MSc in Mathematical Trading & 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 Mathematical Trading & 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.

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 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. They usually find employment with large investment banks, but also some smaller boutique finance firms, hedge funds or other specialist companies.

Working as an analysis or quantitative analysts, in risk management, on fixed income security desks or in the asset management industry including hedge funds are typical jobs for students from the MSc Mathematical Trading and Finance. Some students also secure positions on trading desks.

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
Diploma/ certificate
7.0
average IELTS score for 17/18 cohort
Globe
15
nationalities in 17/18 cohort
Human brain
1995
course established with support of Corporation of London