Artificial Intelligence (AI) is increasingly successful in solving complex and key problems from self-driving cars and medicine to information retrieval and games. Recent advances exploit machine learning techniques where AI systems extract patterns from vast amounts of examples (big data) using large-scale computing infrastructure, such as the cloud. On the BSc Artificial Intelligence with a Year in Industry you will specialise in this rapidly evolving area of computer science and put your skills into practice in the workplace.
On this degree you learn a combination of solid knowledge of computing technologies and programming skills with an in-depth understanding of the principles and practice of building AI systems. The programme is taught by experts in the area of AI and applied machine learning.
In the first year of the programme your learning is centred on computer science fundamentals and you share modules with students on our successful BSc Computer Science programme. In the second year you study core AI concepts and techniques. In your final year, you select a range of modules allowing you to focus on specific AI techniques and applications of your choice such as neural network, data mining, eHealth and semantic web.
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 computing textbooks. Kent was awarded gold, the highest rating, in the UK Government’s Teaching Excellence Framework*.
On this degree, the specific focus is on the technical aspects of both computer science and artificial intelligence. You learn to code in several languages, starting with the Java programming language, which is widely used in industry across a range of applications including mobile devices, and Python, one of the most popular languages for scientific computing and data analysis.
Building on these programming skills, you learn the principles and techniques that underpin the algorithms and systems shaping our world today. These include artificial intelligence, computer security, network technology, software engineering, and human-computer interaction. You put these principles and techniques into practice to develop software in a variety of ways, from small-scale exercises to a major software project. There is a particular focus on understanding and building AI systems to solve real-world problems.
You can also gain experience in teaching with our Computing in the Classroom module. This gives you the opportunity to apply your knowledge in a school setting.
Your year in industry takes place between your second and final years. You gain invaluable work experience, earn a salary and there may be the possibility of a job with the same company after graduation.
In previous years, students have worked in a range of large and small organisations including well-known names such as:
It is also possible to take this degree as a three-year programme, without a year in industry. For details, see Artificial Intelligence.
Facilities to support the study of Artificial Intelligence include The Shed, the School of Computing's Makerspace, which houses:
Students also have exclusive access to a computer room and common room, and we run a peer-mentoring scheme.
Artificial Intelligence students often take part in TinkerSoc, a student-run 'tinkering' society which meets in 'The Shed', our collaborative workspace. TinkerSoc welcomes all students who like making things.
Whether a member of TinkerSoc or not, you can spend time in The Shed, making, exploring and sharing. In this informal environment you can build physical devices for your coursework, as well as develop your own interests and hobbies.
The School of Computing also hosts events that you are welcome to attend. These include our successful seminar programme where guest speakers from academia and industry discuss current developments in the field. We also host the BCS local branch events on campus.
Our programmes are informed by a stakeholder panel of industry experts who give feedback on the skills that employers require from a modern workforce.
Our successful year in industry programmes have allowed us to build up excellent relationships with leading companies such as BAE Systems, Citigroup and The Walt Disney Company.
This degree has been accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.
The University will consider applications from students offering a wide range of qualifications. All applications are assessed on an individual basis but some of our typical requirements are listed below. Students offering qualifications not listed are welcome to contact our Admissions Team for further advice. Please also see our general entry requirements.
Mathematics grade 4/C
The University welcomes applications from Access to Higher Education Diploma candidates for consideration. A typical offer may require you to obtain a proportion of Level 3 credits in relevant subjects at merit grade or above.
Distinction, Distinction, Merit
30 points overall or 15 points at HL including Mathematics 5 at HL or SL, or Mathematics Studies 6 at SL
The University will consider applicants holding T level qualifications in subjects closely aligned to the course.
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. Please note that international fee-paying students who require a Student visa cannot undertake a part-time programme due to visa restrictions.
Please note that meeting the typical offer/minimum requirement does not guarantee that you will receive an offer.
Please see our English language entry requirements web page.
Please note that if you do not meet our English language requirements, we offer a number of 'pre-sessional' courses in English for Academic Purposes. You attend these courses before starting your degree programme.
Duration: 4 years full-time
The course structure below gives a flavour of the modules and provides details of the content of this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation.
The 2023/24 annual tuition fees for this course are:
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.*
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.
Fees for Home undergraduates are £1,385.
Fees for Home undergraduates are £1,385.
Students studying abroad for less than one academic year will pay full fees according to their fee status.
Within the School of Computing are authors of widely used computing textbooks. Programmes are taught by leading researchers who are experts in their fields.
Teaching is based on lectures, with practical classes and seminars, but we are also introducing more innovative ways of teaching, such as virtual learning environments and work-based tuition. Work includes group projects, case studies and computer simulations, with a large-scale project of your own choice in the final year.
Each stage comprises eight modules. Most modules run for a single 12-week term. Each module has two lectures and one to two hours of classes, usually making 14 formal contact hours per week and eight hours of 'homework club' drop-in sessions each term.
We provide excellent support for you throughout your time at Kent. This includes access to web-based information systems, podcasts and web forums for students who can benefit from extra help. We use innovative teaching methodologies, including BlueJ and LEGO© Mindstorms for teaching programming.
Our staff have written internationally acclaimed textbooks for learning programming, which have been translated into eight languages and are used worldwide.
Assessment is by a combination of coursework and end-of-year examination and details are shown in the module outlines on the web. Project modules are assessed wholly by coursework.
The marks from stage one do not go towards your final degree grade, but you must pass to continue to stage two.
Most stage two modules are assessed by coursework and end-of-year examination. Marks from stage two count towards your degree result.
Most stage three modules are assessed by a combination of coursework and end-of-year examination. Projects are assessed by your contribution to the final project, the final report, and oral presentation and viva examination. Marks from stage three count towards your degree result.
In stage three your project counts for 25% of the year's marks.
For a student studying full time, each academic year of the programme will comprise 1200 learning hours which include both direct contact hours and private study hours. The precise breakdown of hours will be subject dependent and will vary according to modules. Please refer to the individual module details under Course Structure.
Methods of assessment will vary according to subject specialism and individual modules. Please refer to the individual module details under Course Structure.
The programme aims to:
You gain knowledge and understanding of:
You gain intellectual skills in:
You gain subject-specific skills in:
You gain transferable skills in:
89% of Kent Computer Science and Information Systems graduates were in graduate-level jobs or further study 15 months after graduation. (The Guardian University Guide 2023)
Computer Science at Kent scored over 87% for graduate prospects in The Times Good University Guide 2023.
Graduates who have both IT knowledge and business skills can expect excellent career prospects. Our graduates have gone on to work in:
Recent graduates from the School of Computing have gone on to develop successful careers at leading companies such as:
Employers are always keen to employ graduates with experience of the workplace, so your year in industry gives you a real advantage when it comes to starting your career.
The University has a friendly Careers and Employability Service, which can give you advice on how to:
You graduate with a solid grounding in the fundamentals of computer science and artificial intelligence and a range of professional skills, including:
To help you appeal to employers, you also learn key transferable skills that are essential for all graduates. These include the ability to:
You can also gain extra skills by signing up for one of our Kent Extra activities, such as learning a language or volunteering.
If you are from the UK or Ireland, you must apply for this course through UCAS. If you are not from the UK or Ireland, you can apply through UCAS or directly on our website if you have never used UCAS and you do not intend to use UCAS in the future.
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