Program Overview

MJ-IIC - Intelligent Industrial Control and Autonomous Systems Engineering

Overview

This course focuses on the emerging trends of intelligent systems and industrial automation and their applications in industry 4.0. This encapsulates areas such as data analytics, machine learning, AI and intelligent systems, IIOT, and mobile robots and autonomous systems. The major is more industry-oriented than other degrees to deliver the practical understanding and knowledge suitable for effective design, prototyping, and controlling the modern industrial systems.

The demands and applications of this major include:

• Process, oil and gas industries
• Smart agriculture
• Marine science and engineering
• Mining
• Environment monitoring and preservation
• Energy
• Intelligent transportation

Structure

The major consists of 21 credit points and includes the following units:

• ICT606: Machine Learning (3 cp)
• ENG553: Industrial Process Control (3 cp)
• ENG551: Microcontrollers and Data Communication (3 cp)
• ENG552: Industrial Control Systems (3 cp)
• ENG611: Intelligent Systems (3 cp)
• ENG612: Autonomous Systems (3 cp)
• ENG613: Applied Robotics (Robotic Manipulation) (3 cp)

Admission Requirements

Entry may be gained through either of the following means into the Master of Engineering Practice with the Major in Intelligent Industrial Control and Autonomous Systems Engineering:

1. Successful completion of a four-year Engineering degree accredited by Engineers Australia (or equivalent Washington Accord-recognised degree) in an approved field of Engineering.
2. Successful completion of a Bachelor's degree (AQF Level 7, non-Washington Accord), or an equivalent qualification, as recognised by Murdoch University, which includes prior studies in Engineering or Engineering Technology. Advanced standing for any students with existing studies would be considered on a case-by-case basis through the standard advanced standing processes at Murdoch.

English language requirements: Equivalent of an Academic IELTS overall score of 6.0 with no band less than 6.0.

Learning Outcomes

Upon completion of the major, students will be able to:

1. Evaluate and employ science and engineering knowledge and skills to the solution of complex Engineering problems and broader aspects of Engineering practice.
2. Systematically investigate, interpret, analyse and create innovative solutions to advanced Engineering problems by using the major theories of the Engineering fundamentals, and natural and physical sciences.
3. Identify and critically appraise current research developments, advanced technologies, emerging issues and interdisciplinary linkages impacting the Intelligent Industrial Control and Autonomous Systems.
4. Identify, analyse and communicate the interactions between systems, practice and people for a sustainable engineering environment.
5. Interpret and apply specialised engineering knowledge, skills and competencies to an open-ended research or industrial task in the field of Intelligent Industrial Control and Autonomous Systems.
6. Evaluate and apply systematic Engineering approaches, including synthesis and design processes to the conduct and management of Intelligent Industrial Control and Autonomous Systems projects.
7. Apply well-developed ethical and professional behaviour to broad areas of Engineering practice.
8. Develop advanced oral and written communication in professional and lay domains.
9. Demonstrate effective team membership and team leadership, recognising the value of alternative and diverse viewpoints.

Professional Outcomes

The Master of Engineering Practice (Intelligent Industrial Control and Autonomous Systems Engineering) has received provisional accreditation with Engineers Australia. Full accreditation will be sought when first graduates are in the workforce in 2025. Once full accreditation has been achieved, graduates will be eligible for graduate membership of Engineers Australia. Full Chartered Professional Engineer status can then be achieved after a further five years of work experience in the engineering profession.

Research Areas

The major is aligned with the research areas of:

• Engineering
• Technology

Version and Ownership

• Version: 09
• Version start date: 01/07/2025
• End date: 30/06/2025
• Owning college: College of Science, Technology, Engineering and Mathematics
• Owning school: Engineering and Energy

Enrolment Pattern and Credit Points

• Enrolment pattern(s): Part Time, Full Time
• Credit points: 21