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The MS in industrial engineering program offers two primary tracks: a coursework-focused option and a research/thesis-based option. The first track is designed mainly for students seeking to enhance their technical expertise for industry careers. The second track also suits industry-bound students but emphasizes cultivating independent research abilities and academic writing, while also preparing students for potential further graduate studies.
Both tracks require proficiency across three key technical domains: systems, human factors, and analytics. The systems specialization focuses on designing, building, and evaluating complex systems involving interconnected human and machine components. Human factors concentrates on how people interact with systems, examining cognitive and physical constraints. Analytics applies mathematical techniques, including statistical methods, along with computational algorithms to extract insights from data. Each specialization benefits from multiple faculty members, with many professors contributing to multiple areas. For details about specific research labs and their projects, refer to the Facilities section under the Department of Industrial and Systems Engineering in the catalog.