The goal of the master's program in Quality Systems Engineering is to prepare students with the multidisciplinary skills, knowledge, expertise in cutting-edge technologies and best practices needed for designing, modeling, analyzing and optimizing the next-generation quality systems and processes throughout their life cycles.
The program is designed to provide multidisciplinary engineering and project management training for students on current and emerging engineering technologies, including machine learning, data analytics and data-driven decision-making, lean engineering and supply chain management, artificial intelligence, intelligent quality systems, smart cities, multi-agent systems, data-driven diagnostics and prognostics, cloud computing, Internet of Things, engineering design, and industry 4.0. Students will acquire hands-on training combined with analytical and computer skills that are highly sought after by employers in various industries ranging from information technology, manufacturing and transportation to healthcare and aerospace.
Bachelor’s degree or equivalent in Mechanical Engineering, Industrial Engineering, Electrical Engineering, Building Engineering, Civil Engineering, Environmental Engineering, Software Engineering, Computer Science, or anAny engineering or science discipline provided that the student has the appropriate background.
Proficiency in English. Applicants whose primary language is not English must demonstrate that their knowledge of English is sufficient to pursue graduate studies in their chosen field. Please refer to the Graduate Admission page for further information on the Language Proficiency requirements and exemptions.
4. An admission offer will not be issued until a supervisor match has been made. Students are encouraged to review the list of faculty members' field of interests and directly contact those with whom you would like to work.
For initial assessment purposes, scanned and uploaded copies of documents are accepted. To finalize a file, once admitted, Concordia University will require official documents.
Priority will be given to those who apply within the official deadlines listed above. Some programs may continue to accept applications after these deadlines. For more information, please contact the department.
The Concordia Institute for Information Systems Engineering is an interdisciplinary institute, housing state-of-the-art facilities for world-class research and hands-on training. Faculty members are involved in a wide range of research projects sponsored by both the industry and government agencies. The institute is at the forefront of innovative research in current and emerging information systems engineering technologies, including cyber-security, digital forensics, smart grid security, network security, mobile security, blockchain technology, cyber-physical systems security, Internet of Things, machine learning, data analytics and data-driven decision-making, artificial intelligence, lean engineering and supply chain management, intelligent quality systems, smart cities, multi-agent systems, data driven diagnostics and prognostics, network optimization and management, cloud computing, aerospace design engineering, and Industry 4.0.
The Concordia Institute for Information Systems Engineering is an international centre of teaching and learning excellence established as a department within the Faculty. It promotes interdisciplinary research and development of information technologies in software and systems engineering. CIISE has three affiliated research laboratories: