Murdoch University

Overview

The Master of Intelligent Industrial Control and Autonomous Systems Engineering at Murdoch University is tailored for those who are enthusiastic about data analytics, machine learning, artificial intelligence, and intelligent systems. This program emphasizes the industrial Internet of Things (IIoT), mobile robotics, and autonomous systems, preparing you for a versatile career across multiple industries.

Students will gain practical experience essential for the design, prototyping, and management of modern industrial and autonomous systems.

What You'll Study

Core Courses Include:

• Machine Learning
• Control Systems and Process Dynamics
• Microcontrollers and Data Communication
• Industrial Control Systems
• Intelligent Systems
• Autonomous Systems

For a comprehensive look at the curriculum, please visit the program website.

Entry Requirements

Applicants are not required to submit GRE, GMAT, or specific GPA scores. However, English language proficiency must be demonstrated through one of the following tests:

• Duolingo English Test: Minimum score of 115
• TOEFL iBT: Minimum score of 60
• PTE Academic: Minimum score of 50
• IELTS: Minimum score of 6.5

Additionally, candidates must hold a four-year Engineering degree accredited by Engineers Australia or an equivalent qualification recognized by Murdoch University, including relevant studies in Engineering or Engineering Technology.

Career Prospects

Graduates of the Master of Intelligent Industrial Control and Autonomous Systems Engineering program are well-equipped to embark on careers in a variety of engineering fields, such as autonomous systems, mechatronics, robotics, process control, mining, and the oil and gas industries.