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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 you will specialise in this rapidly evolving area of computer science.
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.
Many of our students choose to take a year in industry after the second year of the programme. This gives you work experience, a salary and the possibility of a job with the same company after graduation. You don’t have to make a decision before you enrol at Kent but certain conditions apply: for details, see Artificial Intelligence with a Year in Industry.
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.
*The University of Kent's Statement of Findings can be found here
You are more than your grades
At Kent we look at your circumstances as a whole before deciding whether to make you an offer to study here. Find out more about how we offer flexibility and support before and during your degree.
The University will consider applications from students offering a wide range of qualifications. Typical requirements are listed below. Students offering alternative qualifications should contact us for further advice.
Please note that meeting this typical offer/minimum requirement does not guarantee an offer being made. Please also see our general entry requirements.
If you’ve taken exams under the new GCSE grading system, please see our conversion table to convert your GCSE grades.
Mathematics grade 4/C
The University will not necessarily make conditional offers to all Access candidates but will continue to assess them on an individual basis.
If we make you an offer, you will need to obtain/pass the overall Access to Higher Education Diploma and may also be required to obtain a proportion of the total level 3 credits and/or credits in particular subjects at merit grade or above.
Distinction, Distinction, Merit- Distinction, Merit, Merit
34 points overall or 15 points at HL including Mathematics 5 at HL or SL, or Mathematics Studies 6 at SL
The University welcomes applications from international students. Our international recruitment team can guide you on entry requirements. See our International Student website for further information about entry requirements for your country.
However, please note that international fee-paying students cannot undertake a part-time programme due to visa restrictions.
If you need to increase your level of qualification ready for undergraduate study, we offer a number of International Foundation Programmes.
For more advice about applying to Kent, you can meet our staff at a range of international events.
Please see our English language entry requirements web page.
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. You attend these courses before starting your degree programme.
Duration: 3 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.
CO359 Programming for Artificial Intelligence
CO585 AI Systems Implementation
Students must select one of the following:
Plus a choice from a list of optional modules.
The 2021/22 annual tuition fees for this programme 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.
Kent offers generous financial support schemes to assist eligible undergraduate students during their studies. See our funding page for more details.
You may be eligible for government finance to help pay for the costs of studying. See the Government's student finance website.
Scholarships are available for excellence in academic performance, sport and music and are awarded on merit. For further information on the range of awards available and to make an application see our scholarships website.
At Kent we recognise, encourage and reward excellence. We have created the Kent Scholarship for Academic Excellence.
The scholarship will be awarded to any applicant who achieves a minimum of A*AA over three A levels, or the equivalent qualifications (including BTEC and IB) as specified on our scholarships pages.
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:
All University of Kent courses are regulated by the Office for Students.
Based on the evidence available, the TEF Panel judged that the University of Kent delivers consistently outstanding teaching, learning and outcomes for its students. It is of the highest quality found in the UK.
Please see the University of Kent's Statement of Findings for more information.
Computer Science at Kent (which includes all programmes offered by the School of Computing) scored 90% overall in The Complete University Guide 2021.
For graduate prospects, Computer Science at Kent was ranked 15th out of 110 in The Complete University Guide 2021.
Computer Science at Kent was ranked 8th for research intensity in The Complete University Guide 2021.
Graduates who have both IT knowledge and business skills can expect excellent career prospects. 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 can also gain teaching experience by taking the Computing in the Classroom module.
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 choose to apply through UCAS or directly on our website.Find out more about how to apply
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