Bachelor of Science (Hons.) Intelligent Robotics … MMU

The Bachelor of Science (Honours) 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.

Entry Requirements

• Pass Foundation / Matriculation studies in related field from a recognised institution; 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 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
• Candidates with CGPA below 2.50 but above 2.0 may be admitted subject to a rigorous internal assessment process
• 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; AND
• A minimum score of 5.0 for IELTS or its equivalent (for international students only).

Note: DKM /DLKM/DVM candidates may be required to undergo Bridging Programme as an additional requirement.

 

Programme Duration: THREE YEARS

Intake: February, July and September

 

Programme Structure

Year 1

• Engineering Calculus
• Computer and programming
• Micro-controllers & micro-processors
• 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

 

STUDY Campus: CYBERJAYA

 

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

 

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