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Our research activity and supervision for PhD Computing and Electronic Systems is concentrated in the following principal research areas: biometrics, evolutionary-fuzzy systems, neuro-genetic systems, computational intelligence and games, embedded systems, intelligent inhabited environments and robotics. Our cross-disciplinary projects draw on the expertise of our electronic engineers, computer scientists, mathematicians, physicists and psychologists.

Our four-year PhD in Electronic Systems Engineering (with research and communication skills) course has been specifically designed to support students, whilst also offering additional support for UK 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.

5G and emerging communications systems will be the future of a modern life. 5G is the latest mobile technology that the UK's leading network operators are rolling out across the country, which can connect almost everything in the world with much higher speeds and capacity.

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.

Our research activity and supervision for MPhil 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 research activity and supervision for MSD 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.

We offer research supervision for our MSD 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 MSD 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.

Our research activity and supervision for MPhil Computing and Electronic Systems is concentrated in the following principal research areas: biometrics, evolutionary-fuzzy systems, neuro-genetic systems, computational intelligence and games, embedded systems, intelligent inhabited environments and robotics. Our cross-disciplinary projects draw on the expertise of our electronic engineers, computer scientists, mathematicians, physicists and psychologists.

Our research activity and supervision for MSD Computing and Electronic Systems is concentrated in the following principal research areas: biometrics, evolutionary-fuzzy systems, neuro-genetic systems, computational intelligence and games, embedded systems, intelligent inhabited environments and robotics. Our cross-disciplinary projects draw on the expertise of our electronic engineers, computer scientists, mathematicians, physicists and psychologists.

Our MSc Artificial Intelligence in Finance course offers a dynamic blend of financial theory and cutting-edge AI technologies. You will study topics such as algorithmic trading, risk management, and financial modelling, all enhanced by AI techniques like machine learning and natural language processing.