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Computer Science and Artificial Intelligence, BSc (Hons), with industry placement

Kingston University, United Kingdom

 
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Ranking in UK

60th
overall
Guardian
Computer Science and Information Systems
26th
QS
Computer Science and Information Systems
44th
CUG
Computer Science
66th

Costs

Course fees S$26.8K / year
Entertainment, books
food & rent
S$24.6K / year
Beer S$10
MacDonalds S$13
Cinema S$20
Coffee S$6
Total S$51.4K / 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
I101
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

4 years
Graduate
2029
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 tools such as Python, R, Matlab, and SAS.This program is designed for students eager to apply problem-solving skills to real-world challenges through AI, blending theory and practice in computing, mathematics, statistics, and programming. It aims to graduate specialists in applied AI who understand socio-technical implications. Future skills like problem-solving, digital competency, and adaptability are embedded throughout, preparing students for careers as data analysts, machine learning engineers, or software developers. Example modules include Principles of Data Analytics for AI and Applied AI and Machine Learning, with assessments typically involving exams, practicals, and coursework.

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.