Master of Engineering Practice - Intelligent Industrial Control and Autonomous Systems Engineering

Murdoch University - Perth Campus

Australia,Western Australia

 0 Shortlist

24 Months

Duration

CAD 39,960/year

Tuition Fee

CAD 0 FREE

Application Fee

Jul 2025

Apply Date

Australia, Western Australia

Type: University

Location Type: Urban

Founded: 1973

Total Students: 25,000 +

Campus Detail

Main Campus Address

90 South St, Murdoch WA 6150, Australia

Master of Engineering Practice - Intelligent Industrial Control and Autonomous Systems Engineering

Program Overview

Extend your knowledge of engineering by specialising in one of three emerging areas of engineering that will prepare you for a career across a range of industries.

Develop your professional skills with over 300 hours of practical experience through an integrated professional practice unit while developing your professional portfolio.

You will learn from industry practitioners and can tailor your degree to graduate in a compressed timeframe. Develop your studies even further with the option of Engineering Design or Engineering Research minors that can progress into a research career.


Major : Intelligent Industrial Control and Autonomous Systems Engineering
If you have an interest in data analytics, machine learning, AI and intelligent systems, the industrial internet of things (IIOT), mobile robots and autonomous systems this major will prepare you for a career across a range of industries.

You’ll gain a practical understanding and knowledge suitable for effective design, prototyping, and controlling modern industrial and autonomous systems.

3 reasons to study Intelligent Industrial Control and Autonomous Systems Engineering at Murdoch

  • Upskill your knowledge in an emerging area of engineering.
  • Complete your Masters degree in 1.5 years by studying in intensive mode.
  • Five-star rating for student support, graduate salary, and learner engagement for postgraduate engineering and technology.

What you’ll learn

  • Machine learning
  • Control systems and process dynamics
  • Microcontrollers and data communication
  • Industrial control, intelligent and autonomous systems
  • Robotic manipulation