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- Mathematical Trading and Finance MSc
Mathematical Trading and Finance MSc
Course options
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Qualification
MSc - Master of Science
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Location
Bunhill Row
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Study mode
Full time
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Start date
29-SEP-25
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Duration
1 Year
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 鈥榖ooks.
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.
In our postgraduate programme in Mathematical Trading and Finance, you will explore how financial innovation and globalisation have created new investment opportunities. You will also 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.
Compulsory modules in quantitative trading and structuring and machine learning differentiate this course from other quantitative finance courses. Youll 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. Youll build the mathematical and statistical skills needed in quantitative finance, including some stochastics. Youll learn Python, and can choose to learn other programming languages, such as Matlab and VBA, as electives.
Tuition fees
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拢 33,100per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
39th
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Campus address
City, University of London 1, Northampton Square, London, London, EC1V 0HB, United Kingdom
Subject rankings
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Subject ranking
15th out of 122 5
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Entry standards
/ Max 221189 86%9th
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Graduate prospects
/ Max 10081.0 81%22nd
17 -
Student satisfaction
/ Max 42.94 74%99th
12