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Mathematical Trading and Finance MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP-26

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Finance / Accounting (General)

Course Summary

Who is it for?

Would you like to learn about developing innovative and effective trading strategies in the financial market with the help of advanced mathematical and statistical tools? Join the MSc Mathematical Trading and Finance to understand how to apply mathematical and statistical skills in the world of finance to trading activities.

In the MSc Mathematical Trading and Finance, you will learn about tools used to develop algorithms for optimal investment decisions across various asset classes, and to monitor and assess trading risk on your ‘books’.

Emphasis is given to quantitative structuring and trading, as well as Machine Learning techniques and you will learn about stochastics modelling. You will also acquire a sound knowledge of asset management and risk management, learn about key financial securities such as equities, fixed income securities and derivatives. Finally, you will master advance programming skills in Python, Matlab and VBA.

Assessment methods

Course work

Examinations

Presentation

Groupwork

Problem sets

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 Python as a programming language and students will learn the basics in term 1 with some applications to finance being introduced in term 2. The module introduces the main programming skills which are helpful in the financial industry. Operating on matrices, loops, conditional statements, subroutine/functions/procedures and optimisations are core skills which are being introduced in this module.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£26,500

International fees
Course fees for EU and international students

For this course (per year)

£33,100

Entry requirements

A UK upper second-class degree or above, or the equivalent from an overseas institution, in a highly quantitative programme such as computer science, finance, economics, engineering, statistics, or mathematics and physics

Work experience is not a requirement of this course.

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.

Department profile

Bayes Business School, part of City, St George’s University of London, is a globally respected institution known for its excellence in business education and research. Established in 1966, it is among an elite group of schools holding Triple Crown accreditation (AACSB, AMBA, EQUIS). In 2024, the Financial Times ranked Bayes 3rd among European business schools in London and among the UK’s top 10, reinforcing its reputation for academic and...more

University information

City St George's, University of London is a leading institution, ranked 38th in the UK (Complete University Guide 2025). City St George's offers an innovative programme of undergraduate and postgraduate degree courses which uphold the university’s commitment to enhancing people’s lives through education. City St George’s, University of London educates more than 27,000 students from over 170 countries across three campuses in Clerkenwell,...more