Supply Chain Analytics
** available as of 06/15/2026
** available as of 06/15/2026
Prerequisites: Junior Standing; minimum grade of "C-" in SCMG 332 or SCMG 332H or SCMG 232 or SCMG 232H; INFS 247 or INFS 247H; ISSCM 241 or ISSCM 241H or STAT 103.
This course introduces students to the application of business and data analytics across key supply chain functions. Students learn to identify, manipulate, visualize, and model data to support strategic and operational decision-making in modern supply chains. Topics include demand forecasting, customer segmentation and cohort analysis, supplier selection and risk assessment, inventory classification and prediction, and supply chain performance measurement. Through hands-on use of a widely used programming software and real-world business cases, students develop the skills to design, execute, and communicate business analytics projects that enhance supply chain performance, profitability, and sustainability.
Outcomes: Students will develop an understanding of the fundamental concepts and tools used to analyze\\nand improve core supply chain functions through business and data analytics; Students will be able to identify and describe key data sources and performance metrics related to demand, customer, supply, and inventory management; Prepare, visualize, and analyze supply chain data using widely used programming software; Apply forecasting, segmentation, and classification techniques to real supply chain problems\\nsuch as demand prediction, customer analysis, supplier evaluation, and inventory classification; Interpret and communicate analytics results to support decision-making.
This course introduces students to the application of business and data analytics across key supply chain functions. Students learn to identify, manipulate, visualize, and model data to support strategic and operational decision-making in modern supply chains. Topics include demand forecasting, customer segmentation and cohort analysis, supplier selection and risk assessment, inventory classification and prediction, and supply chain performance measurement. Through hands-on use of a widely used programming software and real-world business cases, students develop the skills to design, execute, and communicate business analytics projects that enhance supply chain performance, profitability, and sustainability.
Outcomes: Students will develop an understanding of the fundamental concepts and tools used to analyze\\nand improve core supply chain functions through business and data analytics; Students will be able to identify and describe key data sources and performance metrics related to demand, customer, supply, and inventory management; Prepare, visualize, and analyze supply chain data using widely used programming software; Apply forecasting, segmentation, and classification techniques to real supply chain problems\\nsuch as demand prediction, customer analysis, supplier evaluation, and inventory classification; Interpret and communicate analytics results to support decision-making.