Top 20 in the UK
for the quality of teaching in the subject area of Computer Science.
The Times and Sunday Times Good University Guide 2024
Gain the technical skills that are in demand with a Computer Science and Artificial Intelligence degree at Canterbury Christ Church University. Whether you want to design smart systems, build AI-powered tools, or create data-driven applications, this course will give you the skills to make a real impact in the fast-moving world of AI and tech.
What's more, you’ll get access to our strong industry connections and career support services, giving you access to internships, mentorships, and job placements to enhance your real-world experience.
With a strong emphasis on ethical AI, responsible data practices, and sustainability, you’ll learn how to design intelligent systems that contribute to a more sustainable and inclusive technological future.
If you're thinking about studying AI and computer science at university, then apply to CCCU today.
Top 20 in the UK
for the quality of teaching in the subject area of Computer Science.
The Times and Sunday Times Good University Guide 2024
We accept a wide range of general qualifications that attract UCAS Tariff points either on their own or in combination with others. Below are some common examples.
Qualification | Grades |
---|---|
A Levels | BBC |
BTEC | DMM |
Access | 15 Distinctions and 30 Merits |
International Baccalaureate | 29 Points |
The grades in this table provide an indication of what is required to study this course. If you have qualifications that are not present in the table or want to tell us more about you specific situation then please contact our friendly Course Enquiry Team.
If you do not meet these entry requirements, a foundation year is a great way of beginning your university journey. We recommend you speak to our Course Enquiries team who will advise on a route to study that fits you.
The Computer Science and Artificial Intelligence degree uses the pioneering CDIO (Conceive, Design, Implement, Operate) education model – developed by the world-renowned Massachusetts Institute of Technology (MIT) in collaboration with business. This will help your natural creativity and thirst for problem-solving flourish as you learn and some of your teaching will be done via real world inspired projects. You will be taught through a combination of lectures, seminars and practical labs. You will typically have around 12 contact hours per week and are expected to also spend about 4 hours each week coordinating with team members on group activities.
Labs will often emphasise working in small groups to enable you to discuss and develop your understanding of topics covered in lectures and place theory into practice.
The course will consist of blend of online and face-to-face campus practical learning in computing laboratories and face-to- face and online theoretical and practical learning.
When not attending timetabled sessions, it is expected you will continue learning through self-study. Typically, this involves completing computer-based exercises, preparing for workshops and seminars, undertaking research in the library, working on projects, undertaking coursework assignments or preparing for class-tests and examinations and reading journal articles and books. Your module leader will direct you towards specific readings and/or activities to complete before class.
For your final year individual project (dissertation), you will undertake independent research and development and will be assigned a supervisor; who will guide you through your first substantial and independent work through regular scheduled meetings.
A 30-credit module is based on 300 total learning hours which is made up of Scheduled Teaching Hours, Guided Learning Hours and Independent Learning Hours.
Scheduled Teaching (lectures, seminars, tutorials, labs) is 66 hours of large and small event teaching delivery, based on 6 hours a week over 11 weeks.
Independent study (reading, assignments, projects, exam preparation): Usually accounts for the remaining time, which can range from 240-260 hours.
Assessments would normally be expected to take approximately 75 hours for an assignment worth 50% of a 30-credit module. A similar amount of preparation and revision time would be expected for an examination worth 50% of a 30-credit module.
The team consists of highly qualified academics. They have a range of expertise and experience.
All our team members hold Doctoral or professional qualifications (e.g. Member of the British Computer Society or Eur. Ing.) or comparative industrial experience. You should note members of the teaching team might change.
Postgraduate students assist in some teaching and assessing some modules. However, experienced academics teach the majority of lectures and seminars.
The Computer Science and Artificial Intelligence course at Canterbury Christ Church University is designed to equip you for a successful career in the field. Following the innovative, project-focused CDIO learning model, our curriculum prioritizes hands-on experience and industry-driven projects, ensuring practical learning is at the heart of your education.Dr Amina SouagCourse Director
You will be assessed largely by coursework and project work, though some modules will also have class tests. Coursework is mainly practically-oriented with appropriate theoretical elements to ensure a well-rounded education. Assessments are generally individual, with group work in some modules where this matches the approaches used in industry.
We use coursework assessment methods based on their suitability for specific modules. Formative feedback is provided throughout your course. We use coursework assessment methods based on their suitability for specific modules.
Methods of assessment used include production of software artefacts, project specification documents, reports, ‘investigation-based’ presentations, oral presentations, individual studies/projects, poster presentations, online assessment, logbooks and time constrained assignments.
Graduates with a degree in Data Computer Intelligence can pursue a variety of rewarding careers, including:
The course prepares students to meet the increasing demand for data-driven insights across diverse industries, making them valuable assets to organisations seeking to leverage data to make informed decisions and stay ahead in a data-centric world.
You will also have a strong grounding for further study on specialist Master's or Research (MPhil/PhD) programmes. This Computer Science and Artificial Intelligence degree will stand you in good stead to work towards professional qualifications with a number of commercial providers and also those of the British Computer Society.
The future of technology is not just about mastering code or algorithms, but about creating intelligent solutions that shape the world around us. As you embark on your journey in computer science and artificial intelligence, you are not only preparing for a career—you're preparing to lead the next wave of innovation that will redefine industries, societies, and the way we live.Dr Amina SouagCourse Director
Tuition Fees for 2026/27 have not yet been finalised. These course web pages will be updated with Tuition Fee information once they have been agreed.
Duration:
3 yearsUCAS code:
G500Location(s):
Canterbury*We are advertising this course as ‘subject to approval.’ When we add new courses or update existing courses, we advertise the course as ‘subject to approval’. We do this to let you know the University still needs to agree to run the course. It is rare for a course not to gain approval, but it is not guaranteed. There may be changes to course and module titles, content and assessment, but we will tell you about these if there is a change. You can still apply to study a course subject to approval. We have prepared some questions and answers to tell you more.