About the Course
Our Computer Science and Artificial Intelligence degree offers a structured route from core computing principles to advanced applications of artificial intelligence, guiding you through a clear and supportive learning journey that builds knowledge and confidence as you progress.
From your first year, you’ll develop a strong foundation in programming, computational thinking, computer systems, and data analysis, alongside early, hands-on experience with artificial intelligence using Python. As you move through the course, you’ll deepen and extend this knowledge through more specialised study, exploring object-oriented system design, intelligent systems, and key AI concepts.
In the later stages of the course, you’ll bring everything together through a substantial individual development project in an area that interests you, while studying emerging topics such as generative AI, Large Language Models, and multi-agent systems. Throughout the programme, a strong emphasis on learning by doing, real-world application, and ethical and sustainability considerations prepares you for a career in computer science and artificial intelligence, or further study in this rapidly evolving field.
This degree can be studied as a three-year full-time degree or a four-year degree that includes a year of foundational study. Our foundation year is intended to prepare you for your subsequent years of studying, offering you the chance to strengthen your skills, knowledge and confidence.
The foundation year will be relevant to:
- Students who have not achieved the required A-level points (or equivalent) score to enter the first year of the degree programme.
- Mature students who have been out of the formal education system for some time.
Find out more about the foundation year.
Please note: You will need to apply using a specific UCAS code if you wish to undertake the 4 years including foundation.
The degree programme is comprised of a number of compulsory modules. Students also have the option to complete a year-long placement in industry between Years 2 and 3.
Modules are 20 credits, unless specified.
Year 1
- Analytical Tools for AI
- Architectures & Operating Systems
- Computational Thinking
- Explore
- Introduction to AI with Python
- Principles of Programming
Year 2
- Collaborative Project
- Concepts in AI
- Expand
- Intelligent Systems Design
- Object-Oriented System Design
- Physical Computing
Year 3
- Advanced AI Systems Design
- AI in Multi-Agent Systems
- Generative AI and LLM
- Professional, Sustainable & Ethical Technology
- Development Project (40 credits)
A student-centred approach to learning and teaching is encouraged through the use of a broad range of teaching strategies, such as technical labs and individual and group projects. This is further enhanced by real world case studies and guest talks from industry experts, and supported by Teams and Moodle, our virtual learning environments.
Due to the nature of the programme, campus-based studios and practical workshops are key to developing students’ technical understanding and abilities, underpinned by solid theoretical foundations. Students are expected to further develop their knowledge and understanding through directed self-study and independent learning time – in additional to the timetabled delivery – so as to develop a professional portfolio of project work and software artefacts as they move into graduate employment.
Students are supported academically and pastorally by the Programme Team, led by the Programme Director. Each student is also appointed a Personal Tutor from within the School, who provides a point of contact for general academic and pastoral issues. Students are also supported by Student Coaches; the Student Coach role is for current 2nd, 3rd year and Master’s students who provide peer support in Modules.
The assessment strategy for the programme varies to ensure the most appropriate method for each specific module and subject area. Modules are assessed through a combination of methods, such as formal examinations, practical programming assignments, written assignments, technical reports, presentations, in-class tests, peer assessments and case studies.
The primary aim of this degree programme is to develop theoretical understanding of the key concepts of computing, software and systems. It will showcase the wider impact and importance of software and technology to both society as well as the UK and global digital economy, alongside developing highly transferable computational thinking, analytical and problem solving skills, as well as a broad range of software development skills.
Artificial Intelligence is an area of significant growth within the IT industry. There is a significant gap in the market, with many opportunities for well-paid employment and rewarding career paths across all sectors for graduates with knowledge and skills in Artificial Intelligence. Roles in Artificial Intelligence cover areas such as Business and Finance, Robotics, and Research and Development across disciplines such as Medicine and Sport.
Real world experience can be obtained as part of your study by completing an optional sandwich year placement / industrial internship. Over the past few years, our students have been successful in obtaining placements in nationally competitive schemes with Microsoft, HP, General Electric and the Met Office.
On successful completion of this degree programme, there are also further taught postgraduate study options across computing and information systems here at Cardiff Met, as well as research and PhD programmes.
Typical Offers
The following requirements are based on typical offers relevant to entering year 1 of the degree.
If you do not meet these entry requirements, we also offer a Foundation Year which allows progression to Year 1 upon successful completion.
- Tariff points: 104-112
- Contextual offer: See our contextual offers page.
- GCSE: Five GCSEs at Grade C / 4 or above to include English Language / Welsh First Language, Mathematics / Mathematics – Numeracy.
- English Language Requirement: Academic IELTS 6.0 overall with at least 5.5 in all elements, or equivalent.
- A level subjects: Minimum three A levels to include Grades CCC. No specific subjects required. Welsh Advanced Skills Baccalaureate considered as a third subject.
- BTEC National / Cambridge Technical Extended Diploma: DMM
- T Level: Merit. No specific subjects required.
- Access to Higher Education Diploma: No specific subjects required.
- International Baccalaureate (IB) Diploma: 2 x H5. No specific subjects required.
- Irish Leaving Certificate: 2 x H2 grades. No specific subjects required. Higher level subjects only considered with a minimum grade H4.
- Scottish Advanced Highers: Grades DD. No specific subjects required. Scottish Highers are also considered, either on their own or in combination with Advanced Highers.
Combinations of the above qualifications are accepted if they meet our minimum requirements. If your qualifications aren’t listed, please contact Admissions or refer to the UCAS Course Search.
Further information on Overseas qualifications can be found here.
If you are a mature applicant, have relevant experience or RPL that you would like us to consider, please contact Admissions.
How to Apply
Further information on how to apply can be found here.
For general enquiries, please contact the Admissions Team on 029 2041 6044 or email askadmissions@cardiffmet.ac.uk.
For course specific enquiries, please contact the Programme Director, Dr Angesh Anupam:
- Email: AAnupam@cardiffmet.ac.uk
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UCAS Code
G405 (3-year degree), G45F (4-year degree including foundation year)
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Location
Llandaff Campus
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School
Cardiff School of Technologies
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Duration
3 years full time.
4 years full time if undertaking foundation year.
4 years full time if undertaking year-long industry placement.
5 years full time if undertaking foundation year and year-long industry placement.
We endeavour to deliver courses as described and will not normally make changes to courses, such as course title, content, delivery, and teaching provision. However, it may be necessary for the University to make changes in the course provision before or after enrolment. It reserves the right to make variations to content or delivery methods, including discontinuation or merging courses if such action is considered necessary. For the full information, please read our Terms and Conditions.
Our students have started a range of societies that you can join. From rock climbing to gaming, Formula 1 and much more, there’s something for everyone.
Our network of student coaches become your mentors, and will support you on your journey at the School of Technologies.