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Computer Science and Artificial Intelligence at Kingston University - UCAS

Kingston University

Degree level: Undergraduate

Computer Science and Artificial Intelligence

Course options

2024 - 20252025 - 2026
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Kingston University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

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.
About this course The course is ideal for students who are interested in developing and applying problem-solving skills to real-world problems and would like to develop their understanding of computing, mathematics and statistical techniques through the practical lens of artificial intelligence (AI). With a balance of solid theory and practical application, this course builds on knowledge in relevant areas of statistics, data analysis, probability and programming. The over-arching aim of the Computer Science and Artificial Intelligence course is to produce highly trained graduates with specialist technical knowledge in the mathematical and computational science aspects of applied AI, capable of solving real-world problems with an understanding of the wider socio- technical implications. Future Skills Embedded within every course curriculum and throughout the whole Kingston experience, Future Skills will play a role in shaping you to become a future-proof graduate, providing you with the skills most valued by employers such as problem-solving, digital competency, and adaptability. As you progress through your degree, you'll learn to navigate, explore and apply these graduate skills, learning to demonstrate and articulate to employers how future skills give you the edge. At Kingston University, we're not just keeping up with change, we're creating it. Career opportunities This degree is excellent preparation for a wide variety of careers, such as a data analyst, machine learning engineer, systems and business analyst, software engineer, programmer and network specialist.

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 (e.g. test or exam), practical (e.g. presentations, performance) and coursework (e.g. essays, reports, self-assessment, portfolios, dissertation).

How to apply

31Jan

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:
I100
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

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

Operated by the Office for Students
70%
Employment after 15 months (Most common jobs)
80%
Go onto work and study

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

For international fees, please visit: https://www.kingston.ac.uk/undergraduate/fees-and-funding/fees/ Please visit the provider course webpage for further information regarding additional course costs

Sponsorship information

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Computer Science and Artificial Intelligence at Kingston University - UCAS