Industrial Engineering Concordia University Montréal

Overview

The Industrial Engineering programme at Concordia University Montréal provides students with the technical expertise required to design, improve, and manage integrated systems of people, technology, and information. This professional degree focuses on the optimisation of processes to enhance safety, quality, and productivity across diverse sectors. Students develop a deep understanding of how to apply engineering principles to both manufacturing environments and service-based organisations.

Why Industrial Engineering at Concordia University Montréal?

Studying at the Gina Cody School of Engineering and Computer Science offers access to specialised facilities, including the Engineering Design and Manufacturing and Computer Integrated Manufacturing labs. The programme is fully accredited by Engineers Canada, ensuring that graduates are eligible to become registered professional engineers. Students benefit from an integrated path option, allowing them to earn credits towards a Master of Engineering while completing their undergraduate studies. Furthermore, the university's location in a major industrial hub provides a vibrant backdrop for technical education and professional networking.

Tuition Fee Breakdown

• International fee: CAD 1190 per credit
• National fee: CAD 420 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Manufacturing and Industrial Systems
• Engineering Design and Manufacturing
• Computer Integrated Manufacturing
• Human Factors in Design
• Project Management
• Thermodynamics
• Ergonomics
• Material Flow

Careers with Industrial Engineering

Graduates are prepared for diverse roles in sectors ranging from healthcare and banking to aerospace and retail. Industrial engineers often work as project managers, systems analysts, or operations consultants.

The skills acquired in the programme allow for flexibility in the job market, as graduates can apply optimisation techniques to improve flow control in computer networks, design human-machine interfaces, or manage large-scale transportation systems.