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Computer Science and Artificial Intelligence, BSc (Hons)

Kingston University, United Kingdom

 
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Subject ranking

Computer Science and Information Systems
UK / Guardian 2025
26th
Computer Science and Information Systems
UK / QS 2025
44th
Overall
UK / Guardian 2025
60th

Costs

Course feesS$27.1K / year
Entertainment, books
food & rent
S$24.9K / year
Beer S$10
MacDonalds S$13
Cinema S$21
Coffee S$6
TotalS$52K / year

Entry requirements

A Level BBC
Diploma 2.3
International Baccalaureate 26

Scholarships

Postgraduate Scholarships
£4000 for tuition
11 - 20 available
Undergraduate Scholarships
£4000 for tuition
21 - 50 available
Faculty of Science, Engineering and Computing International Scholarship
£1500 for tuition
Unlimited quantity
Distinction Scholarship
25% for tuition
Unlimited quantity
International Student Loyalty Bursary (Alumni)
10% for tuition
Unlimited quantity
International Student Loyalty Bursary (Family)
10% for tuition
Unlimited quantity
British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
I100
University
Code
K84
Upcoming
Intakes
Sep 2025
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

3 years
Graduate
2028
About the course

Kingston University offers compelling reasons to pursue its Computer Science and Artificial Intelligence course, including guest lectures from industry leaders like Google and IBM, opportunities for a year-long work placement to build practical experience in finance or data analysis, and hands-on use of real-world applications and software such as Python, R, Matlab, and SAS.This program equips students with problem-solving skills through a blend of theory and practical application in AI, statistics, data analysis, and programming. It aims to produce graduates skilled in applied AI, aware of socio-technical implications, and prepared for careers like data analyst, machine learning engineer, or software developer. Future skills training in adaptability and digital competency enhances employability, with assessments including exams, presentations, and coursework. Example modules cover Principles of Data Analytics for AI and Applied AI and Machine Learning.

What you will learn

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.

A local representative of Kingston University in Singapore is available online to assist you with enquiries about this course.