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Bachelor of Robotics and Automation Engineering

About

The XMUM Robotics and Automation Engineering with Honours program (ERA) provides students with advanced skills and knowledge in a rapidly evolving sector of engineering. This curriculum, approved by the Board of Engineers Malaysia (BEM), allows graduates to register as professional engineers and pursue global opportunities. Our hands-on curriculum combines robotics, mechatronics, and AI to provide students with practical experience building and implementing intelligent automation systems.

Students will learn key aspects of robotics and automation, including programming, system design, AI integration, and sustainability. Internships with top organisations, national and international robotics contests, and new research provide a significant advantage in the employment market. The curriculum not only teaches technical skills but also encourages innovation and future-proof thinking. Students are trained to develop AI-augmented solutions that improve rather than replace human ability. Our graduates are ready to shape a collaborative, tech-driven future by designing smart robots and autonomous systems.

 

Key facts

Statistics
Qualification Bachelor's Degree
Study mode Full-time
Duration 4 years
Intakes February, April, September
Total estimated cost (local) $ 26,616
Total estimated cost (foreign) $ 27,463

Subjects

  • Automotive Technology

  • Engineering

Duration

4 years

Tuition fees

Description Local students Foreign students
Tuition fee $ 26,547 $ 27,463
Miscellaneous fees $ 68 Data not available
Total estimated cost of attendance $ 26,616 $ 27,463
Estimated cost per year $ 6,654 $ 6,865

Miscellanous fees explained

Local students

Description Amount
Application Fee $ 22
Registration Fee $ 45

Foreign students

Description Amount
Application Fee $ 22
Registration Fee $ 45
International Student Fee
$ 572
Security Deposit (refundable) $ 228
Hostel Deposit (refundable) $ 114
Hostel Application Fee $ 22

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

Any of These:

  • STPM: A pass in STPM with at least a Grade C (GP 2.0) in Mathematics and Physics/Chemistry.
  • A-level: A pass in A-level with at least a Grade C in Mathematics and Physics/Chemistry.
  • UEC: A pass in UEC with at least a Grade B in 5 subjects, including Mathematics and Physics/Chemistry.
  • Foundation/Matriculation: A pass in Foundation/Matriculation with at least a CGPA 2.0 out of 4.0 and passes in Mathematics and Physics/Chemistry.
  • Diploma: A pass in Diploma with at least a CGPA 2.0 out of 4.0 and passes in Mathematics and Physics/Chemistry.
  • International Qualification: Any other academic qualification equivalent to or higher than the above as stipulated by MQA.

Curriculum

Year 1:

  • Principles of Artificial Intelligence
  • Python and Tensorflow Programming
  • Computer Architecture
  • Programming C
  • Electronics
  • Machines and Power

Year 2:

  • Engineering Mechanics
  • Machine Learning
  • Deep Learning
  • Computer Aided Design
  • Control Theory
  • Major Electives (choose 2)

Year 3:

  • Integrated Design Project
  • Industrial Automation
  • Robot Kinematics and Dynamics
  • Microcontrollers and Embedded Systems
  • Power Technology
  • Major Electives (choose 2)

Year 4:

  • Final Year Project (FYP)
  • Mobile Robotics
  • Computer Vision
  • Advanced Robotics
  • Manufacturing and Operations Management
  • Major Electives (choose 2)

Major Electives:

  • Augmented Reality and Digital Twins
  • Drones and UAVs
  • Exoskeletons, Prothesis, and Medical Robotics
  • Automation and Controls in Semiconductor
  • Cyber Security
  • Deep Reinforcement Learning and Control
  • Natural Language Processing
  • Large Language Model
  • Strategic Reasoning for AI
  • Big Data Analytics
  • Technology and Application of Internet of Things
  • Planning Techniques for Robotics

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