The Computer Science (Artificial Intelligence) course focuses on how computer science and artificial intelligence can solve complex problems in the world. This is a rapidly evolving field for the transformation of our society from self-driving cars, robotics, finance and healthcare. This is a conversion course intended for graduates with little or no prior knowledge of computer science. For those with prior knowledge of computer science, see our specialist MSc Artificial Intelligence course. Overview This conversion course has been designed to provide graduates from any discipline with an introduction to computer science and artificial intelligence to develop skills to restart your career, get into technology and succeed within an evolving industry. The Computer Science (Artificial Intelligence) course prepares graduates for a career in computing, or a career involving the application of computing and artificial intelligence for problem solving in any professional field. Working with the latest technologies, you develop skills which will boost your career prospects as computer science is used for problem solving in every industry. You can explore a wide range of personal interests and career ambitions through a wide range of optional modules. Graduates from our computer science conversion courses have successfully achieved careers with leading software, technology, and commercial global companies such as IBM, Cisco, Logica/CMG, Pfizer, Reuters, Shell and Zurich Financial. It's possible to take this course with an additional industrial placement. AI scholarship funding The School of Computing is delighted to offer £10,000 scholarships for students accepted on the Computer Science (Artificial Intelligence) conversion Master's in 2023-24. The 16 scholarships aim to encourage more graduates to launch a career in the growing field of AI and to improve the diversity of the workforce. Find out more About the School of Computing Our world-leading researchers, in key areas such as cyber security, programming languages, computational intelligence and data science, earned us an outstanding result in the recent Research Excellence Framework (REF); an impressive 100% of our research was classified as either 'world-leading' or 'internationally excellent' for impact. Strong links with industry underpin all our work, notably with Cisco Systems Inc, Microsoft, Oracle, IBM, Nvidia, Erlang Solutions, GCHQ and Google. Our programmes are taught by leading researchers who are experts in their fields. The School of Computing at Kent is home to several authors of leading computer science textbooks. We have a large range of equipment providing both Linux and PC-based systems. Our resources include a multicore enterprise server and a virtual machine server that supports computer security experiments. The School also has a makerspace, The Shed, which offers exciting teaching and collaboration opportunities. Among other equipment it contains a milling machine, 3D printers, laser cutter and extensive space for building and making digital artefacts. Accreditation This degree has been partially accredited by BCS, The Chartered Institute for IT.
How to apply
International students Please see our International Student website for entry requirements by country and other relevant information. Due to visa restrictions, students who require a student visa to study cannot study part-time unless undertaking a distance or blended-learning programme with no on-campus provision.
A second class honours degree (2.2 or above) or equivalent in any subject. You should also have mathematical skills equivalent to a grade C or above in GCSE Mathematics. The University will consider applications from students offering a wide range of qualifications. Students offering alternative qualifications should contact us for further advice.
Fees and funding
No fee information has been provided for this course