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SCMT 56903. Supply Chain Performance Management and Analytics. 3 Hours.

This course will survey standard and advanced analytical techniques used to transform data into actionable business intelligence and students will gain hands-on experience with these techniques. They will gain an understanding of the practical considerations that arise in real-world applications by means of a term project. They will gain exposure to data science software capable of advanced predictive analytics and also through cases, expose them to innovative ways in which firms are using analytics to improve supply chain management processes. Prerequisite: Graduate Standing and Department Consent. (Typically offered: Fall)