Master of Science in Electrical and Electronic Engineering
- Key Information
Course Name:
Master of Science in Electrical and Electronic Engineering
University Name:
Xiamen University Malaysia (XMUM)
Campus:
Selangor
Qualification:
Master
Duration:
2 years
Intake:
January, 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 30,000 |
| 2nd Year | MYR 30,000 |
Other Fees
| Description | Fee |
|---|---|
| Application Fee | MYR 100 |
| International Student Fee (Including visa application & renewal) | MYR 2,500 |
| Registration Fee | MYR 200 |
| Security Deposit (Refundable) | MYR 1,000 |
Campus
Selangor
Qualification
Master
Duration
2 years
Intake
January, May, September
IELTS
5.0
Study Mode
On-campus
Study Type
Full time study
Program Mode
Coursework
Course Fee for International Students
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 30,000 |
| 2nd Year | MYR 30,000 |
Other Fees
| Description | Fee |
|---|---|
| Application Fee | MYR 100 |
| International Student Fee (Including visa application & renewal) | MYR 2,500 |
| Registration Fee | MYR 200 |
| Security Deposit (Refundable) | MYR 1,000 |
Course Overview
The Master of Science in Electrical and Electronic Engineering at Xiamen University Malaysia (XMUM) operates as a sophisticated pedagogical framework designed to ground scholars in the epistemological foundations and transformative methodologies of systemic electro-physical governance and industrial stewardship. This program facilitates an intellectual transition to executive-level technical proficiency by synthesizing rigorous theoretical inquiry with applied multi-domain praxis, ensuring that candidates can navigate the multifaceted complexities inherent in the rapid evolution of global industrial revolutions. To address the high-fidelity demands of a decarbonizing and automated global economy, the curriculum is strategically engineered to bridge the technical divide between fundamental engineering laws and high-impact industrial applications. A pivotal feature of the program at XMUM is its focus on technological synergy and global collaboration, leveraging the School of Electrical Engineering and Artificial Intelligence’s partnerships with prestigious universities and international corporations. By integrating technical expertise with a focus on heuristic critical analysis, the curriculum utilizes extensive research activities in Intelligent Robotics, IoT, and Smart Manufacturing to foster a sophisticated command of the systems driving modern infrastructure. Through intensive study of advanced electronics and renewable energy systems, the program emphasizes the development of the “hard skills” required for high-level technical leadership and R&D management. The pedagogy, bolstered by a faculty positioned at the forefront of global research trends, ensures that graduates possess the analytical fluency necessary to lead national and international development efforts. Ultimately, the program serves as a critical mechanism for professional and technological advancement, establishing the foundational competencies and innovative mindset necessary for graduates to thrive as lead engineering architects and contribute meaningfully to the continuous evolution of the global technological landscape.
Curriculum
Programme Structure
| Year | Themes | Key Modules |
|---|---|---|
| Year 1 (Core) | Advanced Engineering & Research | Research Methodology, Project Management, Embedded System Design, Advanced Engineering Electromagnetics, Research Project I & II, Chinese 1, and Selected Topics on China. |
| Year 2 (Core) | Research Completion | Research Project III & IV. |
| Specialisation Electives | Electronics & Chip Design | System on Chip (SoC) Design, CMOS RFIC Design, Advanced Embedded System Design, and Advanced Digital Signal Processing. |
| Specialisation Electives | Power & Energy Systems | Advanced Power Electronics, Electric Machine and Drive, Advanced High Voltage Engineering, and Advanced Power System Analysis. |
| Specialisation Electives | RF, Signals & AI | Machine Learning, RF and Microwave Circuits, Antenna and Radio Wave Propagation, Statistical Signal Processing, and Random Signals and Noise. |
Field of Research
N/A