Bachelor's in Computer Science (Artificial Intelligence)

Brunel University London is a public research university located in the Uxbridge area of London, England. It was founded in 1966 and named after the Victorian engineer Isambard Kingdom Brunel. In June 1966, Brunel College of Advanced Technology was awarded a royal charter and became Brunel University. The University conceived a brand of education, and later research, which was overwhelmingly geared towards the needs of industry and, echoing the spirit and vision of its namesake Isambard Kingdom Brunel, it did so with flair and rigor. Brunel's ambition was to equip students for the world of work and to address society’s challenges on a global scale. The challenges have changed, but the University's aims are as innovative and ambitious as they always were – to develop research and educational programs informed by, and tailor-made for, those who benefit; and to give students the academic education and personal skills needed to become a success in the real world.

Handling large amounts of data efficiently and quickly is becoming an increasingly important aspect of computing; businesses need 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 to make sense of big data. Qualified graduates with the skills and ability in AI to take advantage of these opportunities are in great demand. Brunel’s Computer Science (Artificial Intelligence) BSc, will expose you to the foundations, theory and practical aspects of computer science and AI. 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. By specialising in AI you’ll develop a range of techniques which can be applied in software to solve complex problems. AI is inherent in modern games, financial trading systems and medical systems and enhances the software solutions in each of these areas. You’ll be confident in your knowledge of the nature, diversity and limitations of software artefacts (or programs) that display apparently intelligent behaviour, understand a range of machine learning paradigms, and be able to apply them to the production of innovative and useful artefacts. Our course is designed for flexibility, so if you’re not sure which route you want to go, you can select modules and specialise gradually during your time with us. You can transfer between Computer Science and Business Computing up to the start of Level 2, then, should you wish, to choose a specialism up to the start of Level 3.