Course summary
Reasons to choose Kingston
- To set the material in context as well as inspire our students, we invite leading practitioners from industry, such as Google and IBM, to give guest lectures and workshops.
- There’s the opportunity for a year’s work placement. This will give you valuable experience and help prepare you for a career in finance or data analysis.
- You’ll use applications that model the real world and industry-standard software such as Python R, Matlab and SAS.
- Our commitment to high quality teaching has been recognised with a Teaching Excellence Framework (TEF) Gold rating. The University has received an overall rating of Gold, as well as securing a Gold award in the framework's two new student experience and student outcomes categories.
Modules
Example modules – Principles of Data Analytics for AI – Applied AI and Machine Learning – Mobile Application Development To view the full list of modules, please visit the University course webpage.
Assessment method
Assessment typically comprises exams (eg test or exam), practical (eg presentations, performance) and coursework (eg essays, reports, self-assessment, portfolios, dissertation).
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- I101
- Institution code:
- K84
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - 112 - 128 points
A level - BBC - ABB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DMM - DDM
Access to HE Diploma - D: 15 credits M: 30 credits
Scottish Higher
Pearson BTEC Level 3 National Diploma (first teaching from September 2016) - D*D*
International Baccalaureate Diploma Programme - 26 points
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017) - H3, H3, H3, H3, H4
T Level - M
T Levels are an alternative to A levels, apprenticeships and other further education courses. T Level focuses on vocational skills and can help students into skilled employment, higher education and/or apprenticeships. Students who study T Level spend 80% of the course in the classroom, learning the skills that employers need. The other 20% is a meaningful industry placement, where they put these skills into action. T Levels are the equivalent to three A levels and we recognise the UCAS tariff points they attract in line with other qualifications that aid progression to higher education.
Please click the following link to find out more about qualification requirements for this course
https://www.kingston.ac.uk/undergraduate/courses/computer-science-and-artificial-intelligence/
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
*
Provider information
Kingston University
River House
53-57 High Street
Kingston upon Thames
KT1 1LQ
Clearing contact details
Clearing call centre - Kingston University 08000483334 - UK Based callers only +44 2083281149 - Non UK Based callers
08000 483 334