About the course
The Master of Science, MS, in Industrial engineering (IE) applies mathematical modeling and analytical tools to make better decisions for designing and managing efficient and effective systems. IE is applied in many areas, including healthcare systems, supply chains, logistics and transportation engineering, manufacturing, sustainability, resilient systems, energy systems, and human-in-the loop systems. We partner with organizations ranging from startups to well-established corporations, to government and nongovernment organizations. For example, our supply chain resilience research is trying to understand and mitigate persistent drug shortages in the United States. Our research in healthcare systems engineering uses methods from lean six-sigma tools to advanced mathematical models to improve system and product reliability and optimize healthcare process quality, delays, cost, efficiency, and effectiveness—national priorities. Recent healthcare applications include improvements in scheduling, readmissions, cost reductions, cancer care, and health services planning. We use stochastic and simulation modeling to study environmental issues related to green manufacturing, product recovery, and end-of-life management. We use data analytics for designing prognostics and preventive strategies for manufacturing operations. Our research and teaching together are designed to develop IE practitioners who can work, innovate, and excel in a variety of businesses. These extensive programs and course work allow for the selection of a degree that meets a wide variety of personal and professional goals. Scholarships - View all scholarships Internships
Start dates and prices
Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.
Duration: 4 Semester(s)Fees: US$57,632
Intake |
Location |
Spring (January), 2024 |
Boston |
Fall (September), 2024 |
Boston |
Spring (January), 2025 |
Boston |
Fall (September), 2025 |
Boston |
Spring (January), 2026 |
Boston |
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