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|ACCT 590 - TOPICS:|
The topics studied in this course change from semester-to-semester, as well as from instructor-to-instructor. Students should expect to engage in sophisticated discussion, to work independently, and to participate in--and lead--seminar discussions. The course will require students to call on the experience of their previous coursework in the program to produce polished writing informed by research. For this semester's course sections, please contact the MSAC Director.
DATA ANALYTICS: The course provides students with the fundamental concepts and tools needed to understand the emerging role of data analytics in organizations. Through lectures, hands on analyses, and various assignments, students learn how to apply basic business analytics tools in a spreadsheet environment. Students will become with familiar with advanced Microsoft Excel functions and the use of Excel in solving analytical problems. Students also learn how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions. The course covers managerial statistical tools in descriptive analytics and predictive analytics, including regression. Other topics covered include forecasting, risk analysis, simulation, data mining, and decision analysis. Emphasis is on applications, concepts and interpretation of results as well as conducting statistical analyses. Students form groups to collect and analyze data, and to write and present a final report.
0.000 TO 3.000 Credit hours
0.000 TO 3.000 Lecture hours
Levels: Graduate, Undergraduate
MSAC COURSE FOR GRAD FEE ASMNT
Must be enrolled in one of the following Programs:
Must be enrolled in one of the following Levels:
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