Foundation Year (Year 0):
This programme can incorporate a Foundation Year, which is intended for students wishing to enrol onto the three-year honours degree, who fall into one of the following categories:
1. Students who have not achieved the required A-Level points (or equivalent) score to enter the first year of the degree programme.
2. Mature students who have been out of the formal education system for some time.
Further information about the Foundation Year can be found by clicking here.
The degree programme is comprised of a number of compulsory modules, with a range of options in the final year to develop your specific interests and expertise.
Due to a change in University Policy to deliver credits in multiples of 20, some of the credit values of the modules shown below are due to be confirmed through a modification event taking place in November 2019. Applicants will be notified of any changes once the modification has been confirmed.
All modules are 20 credits, unless specified.
- Computational Thinking
- Architectures & Operating Systems
- Principles of Programming
- Developing Quality Software & Systems I
- Computing and Society
- Building for the Web
- Data and Knowledge Management
- Data Analysis
- Blockchain Fundamentals
- Data Visualisation & Storytelling
- Developing Quality Software & Systems II
- Research and Professional Skills
- Computer Science Dissertation Project (40 credits)
- Professional & Ethical Issues in IT
- Data Visualisation Grammar and Idioms
- Analytics & Business Intelligence
Optional modules (select one):
- Industrial Work Experience
- Computational Intelligence
Learning & Teaching
A student-centred approach to learning and teaching is encouraged through the use of a broad range of teaching strategies, including: lectures, tutorials, seminars, technical labs, reflective blogs, individual and group projects, further enhanced by real world case studies and guest lectures from industry experts and supported by our Moodle virtual learning environment.
Due to the nature of the programme, practical labs and 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 addition to the timetabled delivery -- so as to develop a professional portfolio of project work and software artefacts as they move into graduate employment, for example through blogging and on GitHub.
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.
The School has an active Student Computing Society and an official Students’ Union society, which provide a wide range of events, activities and field trips throughout the academic year.
The assessment strategy for the programme varies to ensure the most appropriate method for each specific module and subject area. Most modules are assessed through a combination of methods such as formal examinations, practical assignments, written assignments, technical reports, presentations, in-class tests, peer assessments and work-based placements. Thus, in addition to formal examinations and assessments at the end of the module, you will be continuously assessed and given feedback on your progress and development throughout the year i.e. through both formative and summative assessment.
Employability & Careers
The course will equip graduates with the necessary skills and knowledge to understand, apply and critically evaluate underlying Data Science principles. In addition, graduates will also be equipped with the skills to design and utilise Data Science systems and use industry standard tools and techniques in their implementation.
Real world experience can be obtained as part of your studies by completing an optional sandwidch 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.
Graduates will be ably equipped to pursue a highly lucrative career in a number of sectors. According to Glassdoor.co.uk, Data Scientist is the 7th best job with a median base salary of £46,000 and an excess of 2000 job opportunities across the UK (data as of October 2019).
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.
Entry Requirements & How to Apply
Applicants will preferably have a minimum of five GCSE passes including English Language and Mathematics* at grade C or above (grade 4 or above for applicants holding newly reformed GCSEs in England) and 32 UCAS Tariff Points from at least 1 A level (or equivalent).
Candidates who do not possess normal minimum entry qualification are interviewed and considered individually on the basis of their prior learning or working background.
Five GCSE passes including English Language and Mathematics* at grade C or above (grade 4 or above for applicants holding newly reformed GCSEs in England), plus 96 points from at least 2 A levels (or equivalent).
Typical offers may include:
96 points from at least two A levels to include grades CC; Welsh Baccalaureate Advanced Diploma considered as the third subject
RQF BTEC National Extended Diploma/Cambridge Technical Extended Diploma MMM
96 points from at least two Scottish Advanced Highers to include grades DD
96 points from the Irish Leaving Certificate at Highers to include 2 x H2 grades. Higher level subjects only considered with a minimum grade H4
96 points from the Access to Higher Education Diploma
*For Welsh applicants sitting the reformed Mathematics GCSE, we will accept either GCSE
Mathematics – Numeracy.
We are delighted to receive applications from students who have studied Computer Science at GCSE or A-Level (often called Computing by the main examination boards) and we will give due consideration to them. Currently, only a minority of students have had a chance to study Computer Science (especially at GCSE), so do not worry if you have not had the opportunity.
If you are studying combinations of the above, or if your qualification isn't listed, please either contact Admissions or refer to the UCAS Course Search for entry requirements.
Further information on our entry requirements, including qualifications from the EU can be found by clicking here.
Applicants holding an Edexcel Higher Award (HNC/HND) with a significant Computing or Information Technology content may be able to complete the course within one or two years. It is possible to top-up from an ordinary to an honours degree if you have a Cardiff Met awarded degree. Please contact Admissions if you wish to enter via these routes.
Students whose first language is not English will need to provide evidence of fluency to at least an IELTS 6.0 standard or equivalent. For full details about how to apply and English Language qualifications please visit the
International pages on the website.
Selection is usually on the basis of a completed UCAS application and where relevant an interview.
How to Apply:
Recognised Prior Learning (RPL) and Credit Transfer into year 2 & 3
Applications for this course should be made online to UCAS at
www.ucas.com. For further information please visit our How to Apply pages at
If you are interested in transferring credit from another institution to study at Cardiff met for a course which accepts entry for year 2 and/or 3, you can find further information on this and information on how to apply on the
RPL page. Please contact
Admissions for any queries that you have on RPL.
A mature applicant is anyone over the age of 21 who didn't go to university after school or college. Cardiff Met welcomes applications from mature applicants and further advice and information can be found