All our degrees emphasise acquiring knowledge and skills to develop your new understanding creatively and professionally. Although this is an academic degree, the course balances theory with 'real world' practice in information and computer management. You’ll gain a good understanding of computer science and a grasp of the important elements of a computer system. You’ll also learn how to build different types of software – from web-based systems to mobile solutions. In the final year you’ll take compulsory modules in advanced computer science and choose options from a range of computing topics. By specialising in artificial intelligence (AI) you will learn about a range of techniques which can be applied in software to solve complex problems. AI can be found in modern games, financial trading systems and medical systems to enhance the software solutions in each of these areas. To view the Made in Brunel - Software Innovation showcase video please click here. Aims Handling large amounts of data efficiently and quickly is becoming an increasingly important aspect of computing. Business needs to understand trends in data which will allow them to make informed and timely decisions. Artificial intelligence (AI) and the techniques it embraces provide opportunities for this to happen and make sense of ‘Big Data’. Qualified graduates with the skills and ability in AI to take advantage of these opportunities are in great demand; providing those graduates allows us to confront the many challenges that lie ahead. Brunel’s course in Computer Science, specialising in artificial intelligence, will expose you to the foundations, theory and practical aspects of computer science and AI. At Brunel you’ll be working with staff internationally recognised for their expertise: the 2014 Research Academic Exercise (REF) rated two thirds of all research carried out in the Department of Computer Science as ‘internationally excellent or better’ and our research quality and quantity (research ‘power’) is ranked comfortably within the top third of all universities in the UK. Read more about our REF 2014 results. We offer a wide choice of dynamic courses with options ranging from artificial intelligence right through to the social web. It means we’re always on top of industry developments and future trends. More than 50 academic staff teach Department of Computer Science courses, many having a background in the computer industry. Practically all are involved in our applied computing research which includes information systems, software engineering, knowledge-based systems, and simulation modelling. We also have a high quality infrastructure to match including more than 250 computers and servers for exclusive student use – all running state-of-the-art software. The Department of Computer Science is a member of the Microsoft Alliance, the Apple iOS Academic Developer Programme and is an nVidia CUDA Teaching Center.

Computer Science graduates have a range of employment options open to them with the majority interested in a career in the information technology sector. These statistics relate to graduates who studied Computer Science and combined Computer Science with Artificial Intelligence, Digital Media & Games, Network Computing and Software Engineering. Our graduates have a wide range of careers open to them. Perhaps you’ll start by becoming a general analyst/programmer. Or join a consultancy firm – often just a first step toward setting up your own business. The industry’s major companies all have openings for well-qualified personnel. Students with ‘sandwich’ experience are particularly in demand for the better graduate appointments. Recent graduates have gone on to work for well-known companies and organisations including: Accenture Anderson Consulting Barclays British Airways British Telecom Compaq Demon HSBC IBM Logica The Meteorological Office Microsoft Morgan Stanley O2 Oracle Orange Toshiba. As a good honours graduate you may also be able to study for a higher degree in one of our research areas such as information systems/machine interface, simulation modelling and software engineering.