Diploma in Robotics & Automation
- Key Information
Course Name:
Diploma in Robotics & Automation
University Name:
University Malaysia of Computer Science & Engineering (UNIMY)
Campus:
Kuala Lumpur
Qualification:
Diploma
Duration:
2.6 years
Intake:
February, May, September
IELTS:
5.0
Study Mode:
On-campus
Study Type:
Full time study
Program Mode:
Coursework
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 15,950 |
| 2nd Year | MYR 16,950 |
Other Fees
| Description | Fee |
|---|---|
| Facilities Fee (Yearly) | MYR 3,000 |
| Visa and Insurance | MYR 1,000 |
Campus
Kuala Lumpur
Qualification
Diploma
Duration
2.6 years
Intake
February, May, September
IELTS
5.0
Study Mode
On-campus
Study Type
Full time study
Program Mode
Coursework
Are you interested to apply for
University Malaysia of Computer Science & Engineering (UNIMY)?
Course Fee for International Students
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 15,950 |
| 2nd Year | MYR 16,950 |
Other Fees
| Description | Fee |
|---|---|
| Facilities Fee (Yearly) | MYR 3,000 |
| Visa and Insurance | MYR 1,000 |
Course Overview
The Diploma in Robotics & Automation offers a sophisticated pedagogical framework designed to ground scholars in the foundational tenets and transformative methodologies of mechatronic engineering and autonomous systems governance. This vocational-academic program facilitates a transition from general technical interest to specialized proficiency by synthesizing rigorous theoretical inquiry with applied robotics technology and artificial intelligence, ensuring that candidates can navigate the systemic complexities of the Fourth Industrial Revolution (Industry 4.0). The curriculum is strategically structured to provide a comprehensive mastery of critical automation pillars: Mechatronic Integration and System Architecture: Cultivating the analytical capacity to design and develop complex automated systems, providing the prerequisite cognitive tools for the synchronization of mechanical and electronic components. Autonomous Intelligence and Control Theory: Developing the expertise required to implement artificial intelligence within robotics frameworks, preparing students to address real-world challenges through algorithmic and sensory-based logic. Applied Industrial Synthesis and Prototyping: Establishing a thorough understanding of robotics research and development through hands-on laboratory experiments and industry-aligned projects, ensuring the high-fidelity maintenance of automated infrastructures. Cross-Sectoral Engineering Literacy: Mastering the “hard skills” of automated design for diverse environments, such as aerospace, automotive, and advanced manufacturing, ensuring students possess the technical fluency required to excel in global industrial R&D. By integrating advanced technical expertise with a focus on evidence-based engineering paradigms, the program equips candidates with the vocational competencies required for an immediate professional impact. Graduates emerge as prepared practitioners ready for pivotal roles as Robotics Technicians, Automation Engineers, or Mechatronic Specialists, possessing the prerequisite academic rigor to spearhead technological advancements or pursue advanced undergraduate studies in Robotics Engineering, Control Systems, or Smart Manufacturing.
Curriculum
Programme Structure
| Timeline | Core Modules | Focus & Learning Outcomes |
|---|---|---|
| Semester 1 | Software C++ Programming Hardware Analog Electronics Electrical Electrical Circuits | Fundamentals of semiconductor physics, PN junctions, and DC circuit theorems (Ohm’s/Kirchhoff’s). Introduction to C++ software development. |
| Semester 2 | Software OOP Using Java Hardware Digital Electronics Systems Database Mgmt | Design of combinational and sequential logic circuits. Transition to high-level Object-Oriented patterns and relational database design. |
| Semester 3 | Soft Skills Design Thinking Cognitive Problem Solving | Applying heuristic frameworks and innovation principles across engineering and management fields. |
| Semester 4 | Programming Python Programming Robotics Robotic Technology Industry Smart Automation | Integration of IoT and Modern Robotics. Focus on Industrial Revolution 4.0 concepts and automated work cells. |
| Semester 5 | Embedded Arduino & Raspberry Pi Motors Electrical Machines Capstone Final Year Project | Hands-on 32-bit embedded processor design. Principles of AC/DC motor control and troubleshooting mechanical malfunctions. |
| Semester 6 | Design Engineering Drawing Society Co-curriculum | Technical communication via AutoCAD / SolidWorks. Implementing community involvement and leadership ethics. |
| Semester 7 |
INDUSTRIAL TRAINING (12 WEEKS)
Professional industry placement to apply classroom knowledge in a specialized engineering environment and develop industrial-grade projects. |
|
Field of Research
N/A