Medical Electronic Engineering Degree Programme

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Bachelors in Medical Electronic Engineering

Logo of MAHSA University

Campus: Jenjarom

Intakes: January, April, July, October

Duration: 4 years

STPM Good principal passes in Mathematics and Physical Sciences
‘A’ Levels Good passes in Mathematics and Physical Sciences
‘O’ levels / GCE 4 grade C passes
MAHSA Foundation or equivalent
Diploma or Higher National Diploma in Engineering from any college
A qualification that MAHSA accepts as equivalent to the above
Year 1
  • Engineering Mathematics 1
  • Electrical and Electronic Principles
  • Engineering Materials
  • Introduction to management
  • Introduction to C programming
  • Engineering Mathematics 2
  • Circuit Analysis
  • Engineer in Society
  • Instrumentation and Measurements
  • Electronic Devices
  • Engineering Software Applications
  • Engineering Workshop and Materials Lab
  • Electrical & Electronic Engineering Lab
  • Electronic Devices and Circuits Lab
  • 3 MQA
Year 2
  • Engineering Mathematics 3
  • Analogue Electronics
  • Digital Electronics
  • Creativity and Innovation
  • Electrical Machines and Power Systems
  • Communication Engineering Principles
  • Human Anatomy and Physiology
  • Signals and Linear Systems
  • Biochemistry
  • Computer Architecture
  • Electrical Machines Lab
  • Medical Electronics lab
  • Analogue Electronics lab
  • Digital Electronics lab
Year 3
  • Control Engineering
  • Microprocessors and Microcontrollers
  • Multimedia Applications
  • Assist Devices
  • Medical Instrumentation
  • Research Methods for Engineers
  • Numerical and Statistical Techniques
  • Artificial Organs
  • Diagnostic and Therapeutic Equipment 1
  • Microprocessor and Microcontroller Lab
  • Medical Electronics Lab
  • Mini Project
  • Internship
Year 4
  • Engineering project Management
  • Final Year Project Phase 1 (Investigation)
  • Final Year Project Phase 2 (Implementation)
  • Digital Signal and Image Processing
  • Diagnostic and Therapeutic Equipment 2
  • Radiological Equipment
  • Environmental Safety and Protection
  • Pattern Recognition and Neural Networks