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.
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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
City (City St George's, University of London)
Northampton Square
City of London
EC1V 0HB