Master in Electronics Engineering, MEE (Mixed-mode) programme provides the candidate with a good understanding of the techniques and issues in electronics engineering field. A combination of lectures, coursework and research enables the candidate to be exposed to advanced technical knowledge and skills in finding practical and scientific solution to meet the needs and changes of the current engineering problems.
Career opportunities exist for a wide range of organizations including manufacturing companies, research organizations, academic institutions, energy agencies, state and federal governments and local authorities.
To provide students with knowledge of advance techniques, skills and issues in electronics engineering field.
Develop student's ability to learn new discovery in electronics engineering as they developed.
Experience of the industry standard tools used in electronics industry to make them attractive candidates for employers throughout the field.
Research areas for dissertation:
Research in the Department of Electronics Engineering falls into four major areas:
Radio Frequency and Microwave Engineering: Microwave Circuits, Radar, Antennas and Propagation
Computer, Telecommunication Networks and Machine Vision
Microelectronics and Integrated Circuit Designs
CHECK IF YOU ARE ELIGIBLE
A Bachelor’s Degree in a relevant field with a CGPA of 2.75 and above from any institution of higher learning recognized by the Malaysian government OR other qualifications approved by the Senate of IUKL
Applicants with CGPA of 2.5 and above may apply to the programme pending internal assessment by the Faculty of Engineering and Technology Infrastructure, IUKL
Applicants with CGPA of 2.0 and above may apply to the programme subject to minimum 5 years of working experience in a relevant field
International Applicants are required to have a minimum score of TOEFL 550 OR IELTS 6.0 OR have attained a degree from a university where the medium of instruction is in English
WHAT WILL YOU LEARN?
Major Subjects (45 Credits)
Dissertation, Research Methodology, Advanced Software Engineering, Advanced DSP Techniques, Microcontroller and Embedded System Design, Advance VLSI Design and Algorithm, Computer Vision and Pattern Recognition, Advance Analogue and Digital Electronics, Engineering Ethics and Infrastructure