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Increasingly, computer networks cannot be considered without the important issue of security; without secure networks, businesses, commerce and communications would all fail. This course addresses the need for modern computer network professionals.

Our course provides a comprehensive coverage of contemporary intelligent systems, with robots serving as a major example of the technology.

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. Our MSc Financial Technology (Computer Science) course give you the understanding of the specifics and the intricacies of financial and economics markets, the ability to apply advanced computing methods and the ability to design and program solutions that successfully exploit the synergy between finance, economics, and computation.

Artificial intelligence (AI) is a broad area of research that uses rigorous and hands-on computational techniques to address significant problems that arise in many different disciplines, including, but not limited to, computing systems, economics, business, healthcare, games, medicine design, education and agriculture. With the rapid advance of AI, there is a growing demand for students who can understand and promote AI to all these sectors.

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. We enable you to attain an understanding of financial markets at the level of individual trades occurring over sub-millisecond timescales, and apply this to the development of real-time approaches to trading and risk-management.