Program Overview

Introduction to Intelligent Industrial Control and Autonomous Systems Engineering

The Intelligent Industrial Control and Autonomous Systems Engineering major focuses on emerging trends in intelligent systems and industrial automation, with applications in industry 4.0. This encompasses areas such as data analytics, machine learning, AI, intelligent systems, IIOT, and mobile robots and autonomous systems. The major is more industry-oriented than other degrees, delivering practical understanding and knowledge suitable for effective design, prototyping, and controlling modern industrial systems.

Overview of the Major

The demands and applications of this major include, but are not limited to:

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

Structure of the Major

The major consists of 21 credit points, including:

• 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)

Available in Courses

The major is available in the Master of Engineering Practice (M1330), which is a 48-credit-point course offered by the School of Engineering and Energy.

Admission Requirements

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

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

An equivalent of an Academic IELTS overall score of 6.0 with no band less than 6.0 is required.

Learning Outcomes

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

1. Evaluate and employ science and engineering knowledge and skills to solve 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 Engineering fundamentals and natural and physical sciences.
3. Identify and critically appraise current research developments, advanced technologies, emerging issues, and interdisciplinary linkages impacting 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 the 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 research areas in Engineering and Technology.

Version and Ownership

The major is owned by the College of Science, Technology, Engineering and Mathematics, and the School of Engineering and Energy. The version start date is 01/07/2025.

Enrolment Pattern and Credit Points

The major is available in part-time and full-time enrolment patterns and consists of 21 credit points.