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.

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.