Intelligent Systems

An MSc in Intelligent Systems will allow you to gain a broad understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using a large range of tools and techniques. Delivered by the Department of Informatics, which has an enviable reputation for research-led teaching and project supervision from leading experts in their field.

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• Unrivalled location in the heart of London giving access to major libraries and leading scientific societies, including the BCS Chartered Institute for IT, the Institution of Engineering and Technology and the Institution for Mechanical Engineers (IMechE).
• Broad understanding of the whole field of intellgient systems, providing theoretical and practical knowledge of a range of techniques for developing intelligent software and machines in preparation for further study at PhD level or entrance to the job market.
• Access to speakers of international reput through seminars and external lectures, enabling students to keep abreast of emerging knowledge in intelligent systems and related fields.

PURPOSEFor graduates in engineering, computing or a related scientific discipline, with a good knowledge of computer programming and mathematics, from this programme you will gain specialist training in designing, building and evaluating intelligent systems using a range of tools and techniques in preparation for a career in research or industry.

DESCRIPTION

Engineering systems and devices of all kinds are increasingly required to behave in more intelligent ways. Intelligent control systems are thus increasingly required by industry. Furthermore, engineers and scientists are increasingly looking to nature for intelligent solutions to complex problems. There is a growth in interest in intelligent methods for solving a huge range of problems across many disciplines.

This programme is built around taught core modules such as Artificial Intelligence, Agents and Multi-agent Systems, Pattern Recognition, Computer Vision and Biologically Inspired Methods, which are complemented by a wide range of optional modules. The final part of the programme is an individual project which is closely linked with the Department's research activities.