Computer Science (Artificial Intelligence) with Placement MSc

Entry requirements

A first or second class honours degree or equivalent in any subject. You should also have mathematical skills equivalent to a grade C or above in GCSE Mathematics.

All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.

Months of entry

September

Course content

The Computer Science (Artificial Intelligence) conversion course will give you the opportunity to embark on a new career in Computer Science with a particular emphasis in Artificial Intelligence.

The demand for AI expertise is growing rapidly as industries increasingly rely on artificial intelligence to drive innovation and efficiency. From healthcare and finance to autonomous systems and cybersecurity, AI is transforming the way businesses operate, creating a strong need for skilled professionals who can develop and deploy intelligent systems. As companies seek to leverage AI-driven insights and automation, there is a rising demand for experts who understand machine learning, and data science.

The MSc in Computer Science (Artificial Intelligence) is designed to support students from any background who are interested in a career in Artificial Intelligence or Data Analytics. The course offers a tailored entry pathway that is designed to meet the different entry backgrounds of our students. This program covers core topics such as python programming, machine learning, deep learning, and natural language processing, ensuring students gain both theoretical knowledge and hands-on experience. The course emphasizes practical learning through labs, workshops, and projects, allowing students to apply AI techniques to solve complex problems. Whether aspiring to become AI engineers, data scientists, or researchers, graduates of this program will be well-equipped with the expertise and experience needed to excel in the rapidly evolving field of artificial intelligence.

If you start in September, you can choose to take this course with the addition of an year in industry. Strong industry connections and career support services help students secure internships and job placements at top tech companies and research institutions.

Accreditation

This course is accredited by BCS (British Computer Society). The course partially meets the requirements for a Chartered Information Technology Professional (CITP).

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 courses 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 unique makerspace called the Hackspace, which offers exciting teaching and collaboration opportunities

Fees and funding

For current information on fees and funding please see our webpages.