Students
Tuition Fee
GBP 30,000
Per course
Start Date
2026-09-01
Medium of studying
On campus
Duration
12 months

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Details
Program Details
Degree
Masters
Major
Radiologic Technology
Area of study
Information and Communication Technologies | Natural Science
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 30,000
Intakes
Program start dateApplication deadline
2026-09-01-
2027-09-01-
About Program

Program Overview


Would you like to develop innovative and effective trading strategies in the financial market with the help of advanced mathematical and statistical tools? Join the Mathematical Trading and Finance master’s to understand how to use your excellent applied mathematical skills in the world of finance.

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

Consequently, emphasis is given to quantitative structuring and trading, and Machine Learning techniques. You will also acquire a sound knowledge of risk management, key financial securities such as equities, fixed income products and derivatives, asset pricing, and stochastic modelling. Finally, you will master advance programming skills in Python and Matlab.

In our postgraduate programme in Mathematical Trading and Finance, you’ll explore how financial innovation and globalisation have created new investment opportunities. Develop the quantitative skills and mathematical techniques used in financial markets, and learn how to develop algorithms for optimal investment decisions across various asset classes.

Core modules in quantitative trading and structuring differentiate this course from other quantitative finance courses. You’ll also focus on the theory of finance and different financial assets, exploring how these assets are priced and used for asset management or risk management purposes. You’ll build the mathematical and statistical skills needed in quantitative finance, including some stochastics. You’ll learn Python, and can choose to learn other programming languages, such as Matlab and VBA, as electives.

Term three offers you flexibility within your master’s: complete your postgraduate degree entirely by choosing electives, or undertake a business research or applied research project.

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.

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