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Bachelor of Science (Hons.) Intelligent Robotics
About
Dive into the future with our Bachelor of Science (Honours) Intelligent Robotics. This dynamic 3-year program blends engineering fundamentals with practical, hands-on skills. Master electronics, robotics, AI, automation, and programming. Our modern approach provides early exposure to real-world applications, preparing you for Industry 4.0 and beyond. Develop agility and expertise, becoming a highly sought-after professional. This multidisciplinary program equips you to innovate and lead in the rapidly evolving world of intelligent robotics. Gain the skills to design, build, and deploy cutting-edge robotic systems.
Career Prospects:
- Robotics System Designer/Programmer
- AI and Machine Learning Developer
- Embedded System Designer
- Control and Automation Specialist
- Field Application Technologist
- Printed Circuit Board (PCB) Designer
- Production and Planning Engineer
- Industry 4.0 Technologist
Key facts
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 3 years |
| Intakes | March, August, October |
| Tuition (Local students) | B$ 18,660 |
| Tuition (Foreign students) | B$ 23,156 |
Subjects
-
Other Sciences
Duration
3 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | B$ 18,660 | B$ 23,156 |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | B$ 18,660 | B$ 23,156 |
| Estimated cost per year | B$ 6,220 | B$ 7,718 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
- Pass Foundation / Matriculation studies in related field from a recognised institution with a minimum CGPA of 2.50; OR
- Pass STPM or its equivalent with a minimum Grade C (GP 2.00) in any 3 subjects inclusive of Mathematics and Physics; OR
- Pass A-Level with a minimum of Grade D in any three (3) subjects inclusive of Mathematics and Physics; OR
- Pass UEC with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics and Physics; OR
- Recognised Diploma in the related field with a minimum CGPA of 2.50 or its equivalent;* OR
- Pass DKM /DLKM/DVM with a minimum CGPA of 2.50. Candidates with CGPA below 2.50 MUST have at least two (2) years of work experience in the related field.** OR
- Possess an APEL.A certificate from MQA for admission into Bachelor programmes.
Note:
- *Candidates with CGPA below 2.50 but above 2.0 may be admitted subject to a rigorous internal assessment process.
- **DKM /DLKM/DVM candidates may be required to undergo Bridging Programme as an additional requirement.
Curriculum
Programme Structure
Core
Year 1:
- Engineering Calculus
- Computer and Programming
- Microcontrollers & Microprocessors
- Electrical Circuits
- Basic Electronics
- Differential Equations
- Digital Design
- Linear Algebra and Numerical Methods
- Rapid Modelling
- Analog Electronics
Year 2:
- Linear Systems & Signals
- Electromagnetics with Applications
- Electrical Machines and Power Systems
- Robotics – Machine Design and Mechanisms
- Introduction to Artificial Intelligence
- Actuators and Sensors
- Electronics Instrumentation
- Robotics – Modelling and Control
- Feedback Control
- Advanced Programming
- Internship
Year 3:
- Mobile Robots and Drones
- Machine Learning Concepts and Technologies
- Project I
- Project II
- Machine Vision & Image Processing
Elective Modules
Hardware Track:
- IoT Systems & Applications
- Electronic Prototyping and PCB (Printed Circuit Board) Layout
- Making Embedded Systems
- Industrial Automation and Digital Control
- Signal and Power Integrity
Software Track:
- Cybersecurity
- Software Engineering Fundamentals
- Introduction to Data Science
- Neural Networks and Deep Learning
- Robot Programming