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Our MSc Computer Engineering is the first in the UK and provides a balanced perspective of both hardware and software elements of computing systems, and their relative design trade-offs and applications. It will build on your knowledge in mathematics, science, and engineering to ensure you have a sound foundation in the areas needed for a career in this field.

Artificial intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms. You focus on linking artificial intelligence techniques to real-world applications and projects, including artificial intelligence in business and financial applications, artificial intelligence in games, artificial intelligence in biological sciences and medicine, and artificial intelligence in industrial control.

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.

Our research activity and supervision for our standard three-year PhD 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.

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

We offer research supervision for our PhD 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 PhD 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 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.