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Electronic Engineering and AI, BEng (Hons)

Manchester Metropolitan University, United Kingdom

 
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Ranking in UK

33rd
overall
USNews
Electrical and Electronic Engineering
18th
ARWU
Telecommunication Engineering
28th
ARWU
Electrical and Electronic Engineering
36th

Costs

Course fees S$36.6k / year
Entertainment, books
food & rent
S$18.7k / year
Beer S$3
MacDonalds S$14
Cinema S$17
Coffee S$6
Total S$55.3k / year

Entry requirements

A Level BCC
Diploma 2.2
International Baccalaureate 26

Scholarships

MMU Undergraduate International Scholarship
£2500 for tuition
Limited quantity
MMU Postgraduate International Scholarship
£3500 for tuition
Limited quantity
MMU Vice-Chancellor's International Regional Scholarships
50% for tuition
Limited quantity
British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
AEE1
Upcoming
Intakes
Sep 2026
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

3 years
Graduate
2029
About the course

The AI revolution is transforming every facet of modern life. Our BEng (Hons) Electronic Engineering and AI degree equips you with skills to design intelligent systems, address real-world challenges, and drive innovations across sectors like healthcare, finance, robotics, and technology.Starting in year one, you'll build foundational expertise in coding, computational thinking, and system design, advancing to machine learning, neural networks, and intelligent algorithms integrated into hardware for practical applications. Hands-on learning includes lab work, design projects, research engagement, and industry opportunities, plus options for study abroad or a placement year to foster confidence and a global perspective. Graduates emerge with a sought-after blend of engineering and AI proficiency, ready to shape the future of intelligent systems.Key benefits include studying in the £115m Dalton building for collaborative, innovative learning; instruction from leading researchers (100% of engineering research impact world-leading or internationally excellent, 75% at 4* level per REF 2021); interdisciplinary skills uniting hardware and AI; preparation for AI's growth to attract employers; Manchester's AI innovation hub; and access to Siemens labs and Autodesk tools for industry relevance.

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