''

Our four-year PhD Computer Science (with research and communication skills) course has been designed to support students who do not have English as a first language. We recognise and understand the importance of continuing professional development for students and have designed this course for students who do not have English as a first language and may have been studying in a different country, or out of a traditional academic environment for some time.

Develop expertise in contemporary design and practice within computer science. You graduate with the ability to explore further how technology influences people's lives.

Our research activity and supervision for our standard two-year MPhil Computer Science is concentrated in the following principal research areas: artificial intelligence, biologically inspired architectures, educational technology, e-learning, natural and evolutionary computation, natural language engineering, software agents and software engineering. Our cross-disciplinary projects draw on the expertise of our electronic engineers, computer scientists, mathematicians, physicists and psychologists.

We offer research supervision for our MPhil Computational Finance in the following fields: agent-based modelling of financial markets; computational risk management; high-frequency finance; and the use of computational-intelligence methods for investment decision making. We provide a vibrant research environment so our MPhil students publish papers in prestigious international conferences and often attract the attention of industry and government; one of our PhD students was recently invited to present their research on term structure models to the Bank of England and many others get the opportunity to directly apply their research through internships at investment banks and hedge funds.

An Integrated PhD provides a route into research study if you do not have a Masters degree, or have very little research training. It enables you to spend your first year completing a Masters-level qualification, followed by a full-time PhD studied over 3-4 years.

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 research activity and supervision for PhD Electronic Systems Engineering is concentrated in the following principal research areas: audio and video networking, multimedia architectures and applications, data communications and networking, RF engineering, radio, radar and electromagnetics, propagation, video, image processing and computer vision. Our cross-disciplinary projects draw on the expertise of our electronic engineers, computer scientists, mathematicians, physicists and psychologists.

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.

Our research activity and supervision for our standard one year MSD Computer Science is concentrated in the following principal research areas: artificial intelligence, biologically inspired architectures, educational technology, e-learning, natural and evolutionary computation, natural language engineering, software agents and software engineering. Our cross-disciplinary projects draw on the expertise of our electronic engineers, computer scientists, mathematicians, physicists and psychologists.