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Are you ready to start your Master of Advanced Engineering journey?
Smart Manufacturing Engineering
Play your part in transforming industrial processes, reducing costs and improving quality using the state-of-art tools such as robotics, machine learning, artificial intelligence and big data as well as advanced manufacturing technologies such as 3D printing. Contribute to the evolution of manufacturing ecosystems, fostering innovation and competitiveness.
Who is this course for?
The Master of Advanced Smart Manufacturing Engineering is for you if:
- You have a degree in engineering and are seeking to specialise in smart manufacturing.
- You have significant experience in manufacturing and wish to challenge and extend your knowledge and expand your understanding and perspective.
- You are interested in furthering your career conducting leading-edge research in smart manufacturing.
The Master of Advanced Smart Manufacturing Engineering course focuses on integrating advanced technologies - including artificial intelligence (AI), machine learning, and robotics - into manufacturing processes and explores how these can optimise production systems, improve efficiency and drive innovation. You will use digital twin technology to simulate an entire production facility, optimising layouts, resource allocation and workflow efficiency. You’ll also have the opportunity to further explore sustainable engineering systems, sensing and monitoring systems and neural networks.
As part of the course, students also select either an Industry or Research stream, allowing them to further tailor their learning and experience.
You need to satisfy the following entrance requirements to be considered for entry to this course.
Minimum Entry Requirements
Qualifications
A four-year Australian Bachelor of Engineering degree (or equivalent) in a discipline relevant to the specialisation to be studied within the master's course, as approved by the Faculty, with at least high credit (65%) average.
*Telecommunications Engineering will not be offered in Semester 2, 2026.
Find further detail of the relevant undergraduate degree disciplines that align to each of the masters specialisations here.
English requirements
Applicants must also meet the English language requirements.
University entrance requirements
Minimum entrance requirements for admission to Monash University Australia.
Use the course map alongside the Handbook to plan your studies throughout your master’s degree. If you’re unsure about your course progression, contact your course adviser.
Full fee
Fees are subject to change annually.
Fees are per 48 credit points which represents a standard full-time course load for a year. The fees for 2027 are:- Domestic students: A$51,840
- International students: A$59,740
Note: see information on how average fee is calculated.
Fee assistance
As a full fee-paying student, you may be eligible to apply for the optional FEE-HELP to assist you to pay all or part of your tuition fees.
Other costs and fees
For information on other study costs and fees, see other study costs.
Specialisation overview
The Master of Advanced Smart Manufacturing Engineering course focuses on integrating advanced technologies - including artificial intelligence (AI), machine learning, and robotics - into manufacturing processes and explores how these can optimise production systems, improve efficiency and drive innovation. You will use digital twin technology to simulate an entire production facility, optimising layouts, resource allocation and workflow efficiency. You’ll also have the opportunity to further explore sustainable engineering systems, sensing and monitoring systems and neural networks.
As part of the course, students also select either an Industry or Research stream, allowing them to further tailor their learning and experience.
Careers in Smart Manufacturing Engineering
Smart manufacturing has been called the next phase of the industrial revolution, and organisations are actively seeking people that can keep their business at the forefront of these changes. With a Master of Advanced Smart Manufacturing Engineering, you could:
- Design and implement dgital and smart manufacturing in conventional manufacturing establishments
- Design and implement a smart factory with connected sensors and automation for agile manufacturing.
- Implement a system that predicts manufacturing equipment failures based on data analytics, enabling proactive maintenance.
- Deploy a computer vision and machine learning-based inspection system to detect defects and maintain production quality.
- Implement a digital twin virtual replica of a production line to analyse and enhance efficiency
- Develop an AI-driven supply chain platform for forecasting demand and coordinating logistics to enhance efficiency and reduce costs.
- Introduce sustainable manufacturing processes into established systems.
What you will learn
- An enhanced understanding of system design, including mechanical design, material selection, and control systems.
- Fundamental knowledge of advanced robotic systems including design, kinematics, statics and dynamics.
- The ability to apply lean manufacturing processes to deliver sustainable competitive advantage.
- Practical knowledge of sensing technologies to gather real-time information.
- A critical understanding of the principles and processes of systematic risk management.
- An overview of machine learning and how to incorporate it into the manufacturing process.
Smart Manufacturing Engineering stories and research
Explore other masters specialisations
Got a question?
If you have any queries about the Master of Advanced Engineering, or if you’d like to find out more, please contact us:
Domestic students
Telephone: 1800 MONASH (1800 666 274)
Domestic student enquiry form
International students
Telephone: +61 3 9903 4788
International student enquiry form