Enterprise analytics focus on the effective use of data and information to help organizations make quality decisions. Evidence-based decision making requires large amounts of high quality data to accurately reflect on past experiences and predict trends and future needs. Utilizing different analytical methodologies, students learn how descriptive, predictive and prescriptive analytics are applied to a variety of industries such as commerce, finance, health care, marketing, supply chain, retail, and transportation. Ultimately, students develop a Performance Evaluation Framework for their topic of choice that replicates that of actual industry scorecards.
PrerequisitesPost Graduate level BDAT 1004 Data Analytics Programming Minimum Grade of 60
and Post Graduate level BDAT 1006 Data Visualization Minimum Grade of 60
Students registering for credit courses for the first time must declare a program at the point of registration. Declaring a program does not necessarily mean students must complete a program, individual courses may be taken for skill improvement and upgrading.
For more information, please contact Continuing Education