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Master of Engineering in Smart Manufacturing and Systems

Overview
The leading-edge professional graduate degree program in Smart Manufacturing and Systems offers unique hands-on learning and training in new Industry 4.0 technologies (artificial intelligence, the Internet of Things, and digital twins combined with industrial automation and robotic systems), which are driving digital transformation in the manufacturing industry. The program is paired with real-world experience from an industrial internship program of at least four months; this way, it prepares graduates for working in the new digital manufacturing sector related to Industry 4.0 and expedites their absorption into the job market and their impact on the future of manufacturing.
A Glimpse into the Industry 4.0 Future
In the Industry 4.0 future, smart factories using additive manufacturing such as 3D printing and other computer-aided manufacturing systems are able to adaptively manufacture parts on demand, direct from digital designs. Sensors keep track of needed components and order them based on patterns of demand, taking "just-in-time" manufacturing to a new level of optimization. Entire supply chains can pivot with the introduction of new products, changes in consumption, and economic fluctuation. Advanced sensors and machine learning-driven systems monitor the quality of components with more consistency and accuracy. Algorithms can predict when machines need to be fixed before they even break or dynamically reorganize production lines to enhance efficiencies because of artificial intelligence processing the massive amounts of data generated by IoT technology deeply integrated into the manufacturing process.
school
work Professional Master's Program
description Master of Engineering (MEng)
calendar_month 16-20 Months
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Smart Manufacturing at SFU
The fourth industrial revolution, also known as Industry 4.0, will emerge from artificial intelligence (AI), automation, robotics, cyber-physical systems, the Internet of Things (IoT), augmented reality (AR), and other transformative technologies like digital twins. This digital transformation of manufacturing and production processes will provide exciting career opportunities for professionals in industries such as agriculture, automotive, food processing, pharmaceuticals, supply chain logistics, warehouse distribution, and more.
The future will require engineers to have an interdisciplinary skillset to develop advanced manufacturing technologies. SFU’s MEng in Smart Manufacturing and Systems (SMS) is Western Canada’s first program that will prepare professionals to become a global leader in developing engineering solutions for a smart manufacturing future. As a graduate from this professional master’s program, you will be industry-ready to join top manufacturing employers.
Is this program for you?
Admission Requirements
Applicants must satisfy the University admission requirements as stated in Graduate General Regulation 1.3 in the SFU calendar, and hold a bachelor’s degree, or equivalent in mechatronic engineering, computer science, or a related field.
The School’s Graduate Admissions Committee may recommend, at its discretion, admission to the Professional Master’s program to exceptional students without an undergraduate degree in mechatronic engineering, mechanical engineering, manufacturing engineering or a related field. Students who do not meet the minimum university requirements may be recommended as conditional or qualifying students as per Graduate General Regulation (GGR) 1.3.8 or 1.3.9. For further information on conditional or qualifying admission requirements, please contact the Program Coordinator.
Digital Twin Engineers:
Create virtual representations of products and manufacturing processes; integrate these with the necessary digital elements (including software, data, and chips) into a single design to produce the highest-quality product; help to optimize its design, monitor its performance, predict its maintenance and improve the overall consumer experience.
Advanced Manufacturing and Mechatronics Engineers:
Coordinate and manage smart manufacturing processes; maintain broad knowledge of product design, manufacturing and assembly techniques; develop and implement product quality standards; evaluate and improve manufacturing methods for maximum efficiency.
Industry IoT Solution Architects and System Developers:
Map the manufacturer's needs to system and technical requirements; produce the technical specifications, integrate different digital technologies and platforms such as remote operation centers, predictive maintenance, or assisted operations through augmented reality.