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Masters Degrees (Algorithmic Trading)
We have 7 Masters Degrees (Algorithmic Trading)
MSc Algorithmic Trading
University of Essex
School of Computer Science and Electronic Engineering
On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling. Read more
Global Financial Trading MSc
Coventry University London
Business and Management
This programme is aimed at students with a strong interest in financial trading in integrated financial markets. Read more
Finance and Data Analytics MSc
University of Stirling
Business, Management and Law
As the modern financial industry increasingly turns to big data to inform investment decisions, there is a growing demand for professionals with a specialisation in data analytics. This course equips you with data analysis skills that are in short supply and can be utilised in algorithmic trading, machine learning and artificial intelligence applications. Read more
Financial Technology - MSc
University of Bristol
Faculty of Social Sciences and Law
The MSc in Financial Technology will provide you with a comprehensive grounding in the various analytical methods of financial technology, or 'fintech', as well as knowledge of how these methods are utilised in practice in financial markets. Read more
Mathematical and Computational Finance
University of Oxford
Mathematical Institute
The course provides you with a strong mathematical background with the skills necessary to apply your expertise to the solution of real finance problems. … Read more
MSc in Financial Mathematics
Dublin City University
Faculty of Science and Health
The role of Global Finance in the world has never been more complex. Events have shown how critical it is to have an understanding of the theory and logic behind the practice of financial decision-making, risk management and market behaviour. Read more
MSc Financial Technology (Computer Science)
University of Essex
School of Computer Science and Electronic Engineering
To be competitive in our modern financial industry, it is not enough for a scientist to know how to write software, nor is it enough that one can mathematically analyse markets based on simplifying assumption by ignoring the computation required. Read more
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