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 conversion course is open to graduates from any discipline, no prior knowledge of computer science is required.
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.
This programme is available with an optional industrial placement of between eight and 50 weeks. The industrial placement provides an opportunity to work in real-world, technical and business roles, enhancing your study experience and having a dramatic impact on your choices after graduation.
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). Our submission was ranked 12th in the UK for research intensity, with an impressive 98% of our research judged to be of international quality.
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. Kent was awarded gold, the highest rating, in the UK Government’s Teaching Excellence Framework*.
While studying with us, you can gain work experience through an industrial placement. Our dedicated placement team can help you gain a suitable paid position and provide support throughout your placement.
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,, 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.
Computers are good at mechanical tasks but can they be creative? In this talk, Dr Anna Jordanous looks at why we would want to study computers being creative and what we can learn from this work.
*The University of Kent's Statement of Findings can be found here
A first, 2.1 or good 2.2 honours degree (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. Some typical requirements are listed below. Students offering alternative qualifications should contact us for further advice.
If you are an international student, visit our International Student website for further information about entry requirements for your country, including details of the International Foundation Programmes.
The University requires all non-native speakers of English to reach a minimum standard of proficiency in written and spoken English before beginning a postgraduate degree. Certain subjects require a higher level.
For detailed information see our English language requirements web pages.
Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways.
Duration: 1 year full-time
Each of our taught MSc courses is available in several formats to accommodate students from different backgrounds and to provide maximum flexibility.
The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules.
If you are not appropriately experienced in programming you are also required to take the following module: CO881 - Object-Oriented Programming (15 Credits)
Assessment is through a mixture of written examinations and coursework, the relative weights of which vary according to the nature of the module. The final project is assessed by a dissertation.
This programme aims to:
You gain knowledge and understanding of:
You develop intellectual skills in:
You gain subject-specific skills in:
You gain the following transferable skills:
The 2021/22 annual tuition fees for this programme are:
Computer Science (Artificial Intelligence) - MSc at Canterbury
Computer Science (Artificial Intelligence) with an Industrial Placement - MSc at Canterbury
For details of when and how to pay fees and charges, please see our Student Finance Guide.
For students continuing on this programme fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.* If you are uncertain about your fee status please contact email@example.com.
The University will assess your fee status as part of the application process. If you are uncertain about your fee status you may wish to seek advice from UKCISA before applying.
Find out more about general additional costs that you may pay when studying at Kent.
Search our scholarships finder for possible funding opportunities. You may find it helpful to look at both:
In The Complete University Guide 2021, the University of Kent was ranked in the top 10 for research intensity. This is a measure of the proportion of staff involved in high-quality research in the university.
Please see the University League Tables 2021 for more information.
In the Research Excellence Framework (REF) 2014, research by the School of Computing was ranked 12th in the UK for research intensity.
An impressive 98% of our research was judged to be of international quality, with 81% of this judged world-leading or internationally excellent. The School’s environment was judged to be conducive to supporting the development of research of international excellence.
This Group brings together interdisciplinary researchers investigating the interface between computer science and the domains of bioscience and cognition. In terms of applying computation to other domains, we have experts in investigating the modelling of gene expression and modelling of human attention, emotions and reasoning. From the perspective of applying biological metaphors to computation, we research new computational methods such as genetic algorithms and swarm intelligence.
The Group also develops novel techniques for data mining, visualisation and simulation. These use the results of interdisciplinary research for finding solutions to computationally expensive problems.
The Group has strong links with other schools at the University of Kent, as well as with universities, hospitals and scientific research institutes throughout the country and internationally.
Areas of research activity within the group include:
Our research involves all aspects of programming languages and systems, from fundamental theory to practical implementation. The Group has interests across a wide range of programming paradigms: object-oriented, concurrent, functional and logic. We research the links between logic and programming languages, the verification of the correctness of programs, and develop tools for refactoring, tracing and testing. We are interested in incorporating safe concurrent programming practices into language design.
The Group is also interested in practical implementation of programming languages, from massively concurrent parallel processing to battery-operated mobile systems. Particular research topics include lightweight multi-threading kernels, highly concurrent operating systems, memory managers and garbage collectors.
Research areas include:
Security - of information, systems, and communications - has become a central issue in our society. Interaction between people's personal devices (far beyond just phones and computers) and the rest of the connected world is nearly continuous; and with the advent of the Internet Of Things its scope will only grow.
In that context, so much can go wrong - every communication can potentially be intercepted, modified, or spoofed, and surreptitiously obtained data can be commercially exploited or used for privacy invasions. In fact, data flows in society are such that many people already feel they have lost control over where (their) data goes.
The cyber security research group operates within that context. All members bring a particular technological emphasis - the analysis of particular classes of security problems or their solutions - but are fully aware that it all fits within a wider context of people using systems and communicating data in secure and insecure ways, and how external pressures beyond the mere technology impact on that. The topic of computer security then naturally widens to include topics like privacy, cyber crime, and ethics and law relating to computing, as well as bringing in aspects of psychology, sociology and economics.
From that perspective, the Cyber Security research group played a key role in setting up, and continues to be a core contributor to, the University's Interdisciplinary Cyber Security Research Centre, see www.cybersecurity.kent.ac.uk.
The group has a strong involvement with postgraduate teaching in this area. It teaches most of the core modules in MSc programmes in Computer Security, and Networks and Security. A new (from September 2017) MSc Course in Cyber Security has been provisionally certified by GCHQ. The group is also involved in undergraduate modules in this area, as well as postgraduate programmes in other schools such as the MSc Information Security and Biometrics, and in UK activities to define curricula in Cyber Security.
Members are engaged in the following areas of research (research areas in more detail) .
Data Ethics and Privacy
Data Science is about developing new techniques to better understand data and draws on many areas within and outside of computer science. Our research group develops and applies methods to interpret rich information sources. Our research comes under three themes:
Full details of staff research interests can be found on the School's website.
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.
You can gain practical work experience as part of your degree through our industrial placements scheme - we have a dedicated Placement Team who can give advice and guidance. All our placements are in paid roles.
In previous years, students have worked at a wide range of large and small organisations, including well-known names such as:
You can take your work placement abroad. Previous destinations include Hong Kong and the US.
An industrial placement gives you invaluable workplace experience, which greatly enhances your employment prospects and also helps put your academic learning into a real-world context.
The School of Computing has a large range of equipment providing both UNIX (TM) and PC-based systems and a cluster facility consisting of 30 Linux-based PCs for parallel computation. New resources include a multi-core enterprise server with 128 hardware threads and a virtual machine server that supports computer security experiments.
All students benefit from a well-stocked library, giving access to e-books and online journals as well as books, and a high bandwidth internet gateway. The School and its research groups hold a series of regular seminars presented by staff as well as by visiting speakers and our students are welcome to attend.
The School of Computing has a makerspace which offers exciting new teaching and collaboration opportunities. Among other equipment, it contains milling machines, a 3D printer, laser cutter and extensive space for building and making digital artefacts.
Our taught postgraduate students enjoy a high level of access to academic staff and have their own dedicated laboratory and study room. Students whose course includes an industrial placement are supported by a dedicated team which helps them gain a suitable position and provides support throughout the placement.
Staff and research students publish regularly and widely in journals, conference proceedings and books. Among others, they have recently contributed to: Journal of Artificial Evolution and Applications; International Journal of Computer and Telecommunications Networking; Journal of Visual Languages and Computing; Journal in Computer Virology.
Strong links with industry underpin all our work, notably with Cisco, Microsoft, Oracle, IBM, Agilent Technologies, Erlang Solutions, Hewlett Packard Laboratories, Ericsson and Nexor.
All students registered for a taught Master's programme are eligible to apply for a place on our Global Skills Award Programme. The programme is designed to broaden your understanding of global issues and current affairs as well as to develop personal skills which will enhance your employability.
Learn more about the applications process or begin your application by clicking on a link below.
Once started, you can save and return to your application at any time.