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Bachelor of Science (Hons.) Intelligent Robotics
About
The Bachelor of Science (Hons.) Intelligent Robotics is a 3-year programme that strikes on exquisite balance between the fundamentals of engineering and hands-on, practical skills. This unique multi-disciplinary program combines electronics, robotics, artificial intelligence, automation, and computer programming. It adopts a modern learning approach with early exposure to real world applications. Graduates will be agile knowledge workers in the IR4.0 age and beyond, highly sought after by the industry.
Career Prospects:
- Robotics System Designer/Programmers
- 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 |
| Total estimated cost (local) | B$ 18,727 |
| Total estimated cost (foreign) | B$ 23,240 |
Subjects
-
Computer Engineering
-
Computer Science, IT
-
Electrical Engineering
-
Electronic Engineering
Duration
3 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | B$ 18,727 | B$ 23,240 |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | B$ 18,727 | B$ 23,240 |
| Estimated cost per year | B$ 6,242 | B$ 7,746 |
Miscellanous fees explained
Local students
| Description | Amount |
|---|---|
| Admission Fee | B$ 171 |
| Deposit | B$ 150 |
| Yearly Student Development Fee | B$ 60 |
Foreign students
| Description | Amount |
|---|---|
| Admission Fee | B$ 225 |
| International Processing Fee (Student Visa) | B$ 857 |
| Deposit | B$ 150 |
| Yearly Student Development Fee | B$ 60 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact us 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
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.
Curriculum
Core Subjects
Year 1
- Engineering calculus
- Computer and programming
- Micro-controllers & 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
Electives
Hardware Track
- IOT systems & applications
- Electronic prototyping and PCB 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
University Subjects
- MPU-U1: TITAS (local)/Bahasa Melayu Komunikasi 2 (international)
- MPU-U1 Hubungan etnik (local)/Pengajian Malaysia 3 (international)
- MPU-U2 Bahasa kebangsaan A/Foreign language*/ Entrepreneurship in Cross Border E-Commerce/ Business and Entrepreneurship In Malaysia
- MPU-U3 Introduction to multicultural studies in Malaysia/ Introduction to Malaysian Economy/ Islamic Institutions In Malaysia/ Introduction to Multicultural Studies in Malaysia/ Stress and Well-Being Among Malaysians
- MPU-U4 Co-curriculum
- Workplace Communications