MGSC 416 Data-Driven Models for Operations Analytics (3 credits)

Overview

Management Science : Examination of how data-driven models have been used to transform businesses and industries, using examples and case studies in e-commerce, retail, social and online networks, sports analytics, and online advertising. Demonstration of the use of data-driven analytics methods such as time series forecasting, network models, mixed-integer optimization, matching markets and exploration/exploitation.

Terms: Winter 2025

Instructors: Hariss, Rim (Winter)

• Prerequisites: MGCR 271, INSY 336 or permission of instructor and approval of the BCom Program Office

• Restriction: Not open to students who have taken MGSC 434 when the topic was "Data-Driven Models for Operations Analytics"