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Mathematical Trading and Finance MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Stock Market Services Mathematics (General) Finance / Accounting (General)

Course type

Taught

Course Summary

Who is it for?

To successfully complete this Mathematical Trading and Finance master’s 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 quantitative 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 postgraduate degree entirely choosing electives.

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 programme 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.

The job opportunities for students from the three quants master's 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 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 degree.

Modules

Strong research skills are a key element of development strategy for companies and institutions large and small. In particular the ability to programme and to automate procedures. This module focuses on MATLAB and VBA as a programming language. The module introduces the main programming skills which are helpful in the financial industry. Operating on matrices or arrays, loops, subroutine and optimisations are core skills which are being introduced in this module.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£27,500

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£27,500

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need to have a UK upper second class degree or above, or the equivalent from an overseas institution. Students 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.

Department profile

Part of City, University of London, Sir John Cass Business School has been at the forefront of business education for over 50 years. Ranked 3rd in London, 6th in the UK and 19th in Europe (Financial Times European Business School ranking 2019), Cass is part of an elite group of business schools to have been awarded triple accreditation by the Association to Advance Collegiate Schools of Business (AACSB), the Association of MBAs (AMBA) and the...more

University information

City, University of London is a leading UK university, with a global vision and a commitment to transforming lives through education. It is home to over 20,000 students, 46% of which are studying at postgraduate level and has over 175,000 alumni from over 180 countries. City is divided into five different academic Schools: School of Arts & Social Sciences The Business School (formerly Cass) School of Health Sciences The City Law...more