Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 476-DL : Business Process Analytics
Description
This course introduces data-driven management methods, including business process workflows, mining, modeling, and simulation, activity-based costing, constrained optimization, and predictive analytics. Data from business operations, properly recorded in time-stamped logs of activities and their associated costs, represent essential information for business management. Analyzing business activities provides a guide to business intelligence and business process improvements, including those associated with robotic process automation and digital transformation. By reviewing detailed case studies and using commercial and open-source analytics platforms, students learn how data and models can be used to guide management decisions.
This is a required course for the Analytics Management specialization.
Prerequisites: None
Winter 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
01/06/25 - 03/22/25 | Sync Session Tu | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Tsapara, Irene | Online | Open |
Spring 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
03/31/25 - 06/13/25 | Sync Session Sa | 9 – 11:30 a.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Tsapara, Irene | Online | Open |
Summer 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
06/23/25 - 08/30/25 | Sync Session Tu | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Bader, Atef | Online | Open |