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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

+60142521561

EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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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

Statistics
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

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