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Master in Electronics Engineering (Research)

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Infrastructure University Kuala Lumpur (IUKL)

Master in Electronics Engineering (Research)

university icon
Infrastructure University Kuala Lumpur (IUKL)

Master in Electronics Engineering (Research)

Qualification
Master's Degree
Duration
2 years
Intake
MarMarJunJunJulJulSepSepOctOct
English Requirement
IELTS 5.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
First year from MYR N/A excludes 6% SST & other fees
Estimated total tuition from ~MYR 0 2 years programme
Published fees don't include possible scholarships and YourUni discounts — most students pay less than the sticker price.

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A Master's in Electronics Engineering is a postgraduate program that focuses on advanced knowledge and skills in the field. It covers subjects like digital and analog electronics, communication systems, and power electronics. The program emphasizes theory and practical skills through coursework, seminars, and research projects. Graduates gain expertise in designing complex electronic systems and troubleshooting. This degree opens up opportunities in research, product design, testing, consulting, and academia. Overall, it offers a comprehensive education to excel in electronics engineering.

Future Careers

  • Electronics engineers 
  • Research and development engineers 
  • Embedded systems engineers 
  • Control systems engineers 
  • Telecommunications engineers 
  • Power electronics engineers 
  • Technical consultants 
  • Academia and research.

1: Electronics Communication

  • Radio Frequency and Microwave Engineering: Microwave Circuits, Radar, Antennas and Propagation.
  • Telecommunication Networks and Machine Vision.

Area Expertise:

  • Management systems
  • Setting up a communication system to implement an infrastructure system
  • Antenna design and optimization
  • Signal propagation

2: Microelectronics

  • Microelectronics and Integrated Circuit Designs.
  • Power Electronics.

Details Area:

  • Investigation into the use of FPGA and DSP microcontrollers for industrial applications
  • Development of industrial monitoring and electronics control architecture which allow functionality in real time applications
  • Investigation into integrated circuit designs

3: Industry Robotics

  • Robotics and Automation
  • Control System
  • Artificial Intelligence

Robotic:

  • Industry Automation
  • Arm Robotics
  • Swarm Optimization Robotics: Robot Integration/Communication
  • Underwater Autonomous Vehicle (UAV) Robot: Marine Robotics
  • Unmanned Aerial Vehicle: Air space drone
  • Machine Vision: Digital Image Processing and Signal Processing

Artificial Intelligence:

  • Machine Learning: Artificial Neural Network and Fuzzy Inference System (FIS)
  • Deep Learning: Radial Basis Function (RBF), Convolutional Neural Network (C-NN) and Recurrent Neural Network (RNN)
  • Data Analytics: Predictive Analysis, Prescriptive Analysis and Diagnostic Analysis.
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