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Robotic Engineering and Artificial Intelligence, MEng (Hons), with industry placement

Kingston University, United Kingdom

 
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Subject ranking

Computer Science and Information Systems
UK / Guardian 2025
26th
Engineering - Mechanical
UK / QS 2025
38th
Computer Science and Information Systems
UK / QS 2025
44th

Costs

Course fees
Entertainment, books
food & rent
S$25K / year
Beer S$10
MacDonalds S$13
Cinema S$21
Coffee S$6
TotalS$25K / year

Entry requirements

A Level ABB
Diploma 2.7
International Baccalaureate 28

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
H904
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

5 years
Graduate
2030
About the course

Kingston University offers a dynamic programme in Robotic Engineering and Applied Artificial Intelligence, focusing on core principles to equip students with essential skills for rapidly evolving industrial, commercial, and domestic sectors. Students will tackle real-world robotics challenges through hands-on exploration of topics like autonomous systems, machine learning, computer vision, and intelligent control. Collaborative projects with diverse peers foster appreciation for different perspectives, preparing graduates for inclusive engineering careers while aligning with UN Sustainable Development Goals.The course emphasises Future Skills such as problem-solving, digital competency, and adaptability, integrated throughout the curriculum to ensure graduates are ready for the Fourth Industrial Revolution. Example modules include Introduction to Robotics, Machine Learning and Computer Vision, and Modelling and Simulation in Soft Robots. Assessment combines exams, coursework, lectures, seminars, tutorials, and practical sessions, delivered by academics from varied backgrounds to enrich learning.

What you will learn

Example modules: – Introduction to Robotics - Machine Learning and Computer Vision - Modelling and Simulation in Soft Robots - For a full list of modules please visit the Kingston university course webpage

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