Course Schedule, Part-time Online Program

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.

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

 


Spring 2024
Start/End DatesDay(s)TimeBuildingSection
03/25/24 - 06/08/24Sync Session Sa
9 – 11:30 a.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Tsapara, Irene
Online
Open

Summer 2024
Start/End DatesDay(s)TimeBuildingSection
06/17/24 - 08/25/24Sync Session Sa
9 – 11:30 a.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Tsapara, Irene
Online
Open
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