Study at the University of Kent
Canterbury and Medway, United Kingdom
| Programme details | |
|---|---|
| Degree: | Master of Science (MSc) |
| Discipline: |
Artificial Intelligence
|
| Duration: | 1 year |
| Study modes: | full-time, part-time |
| Delivery modes: | on-campus |
| Campus locations: |
Canterbury (United Kingdom)
Medway (United Kingdom) |
| University website: | Artificial Intelligence |
Request information from the University of Kent
The Artificial Intelligence MSc course combines a wide choice of advanced topics in computer science with specialist modules relating to computational intelligence, including logic-based, connectionist and evolutionary artificial intelligence, inspirations from the natural world, practical applications and the philosophy of machine reasoning.
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 Artificial Intelligence is designed for students with a strong computing background who want to deepen their expertise in AI technologies, theories, and applications. This program covers core topics such as machine learning, deep learning, natural language processing, and robotics, ensuring students gain both theoretical knowledge and hands-on experience.
Through a combination of advanced coursework, research projects, and industry collaborations, students will develop the technical skills necessary to design and implement AI-driven solutions across various domains, including healthcare, and robotics. The curriculum is continuously updated to reflect the latest advancements in AI, preparing graduates for cutting-edge roles in academia, research, and industry.
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
This course is accredited by BCS (British Computer Society). The course partially meets the requirements for a Chartered Information Technology Professional (CITP).
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.
Joining this MSc program provides students with the opportunity to learn from leading AI researchers, gaining insights into real-world challenges and innovative solutions. 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.
Our graduates have gone on to work in:
Recent graduates have gone on to develop successful careers at leading companies such as:
The University has a friendly Careers and Employability Service, which can give you advice on how to:
You have access to a dedicated Employability Coordinator who is a useful contact for all student employability queries.
Visit the website of the University of Kent to find out how to apply and start your study-abroad adventure in the United Kingdom! 🙌