MS Data Analytics
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The Master of Science in Data Analytics program prepares students to be organizational leaders through the use of business intelligence and data analytics. Students learn to improve decision- making and business processes in core business functions such as accounting, finance, logistics, management, and strategy through the application of business intelligence solutions and data analytics principles. Technical topics include data warehousing, data mining and visualization, business analytics, predictive analytics, and enterprise performance management. The program prepares students for careers such as business/systems analysts, business intelligence developers/analysts, ETL developers, data analysts, data architects, and data scientists.
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How Online Education Works for You
Applied Business Management
Contemporary Practices in K-12 Online Learning
Criminal Justice Leadership
English Language Learning (ELL)
Human Resource Management
Human Resource Performance
K-12 Educational Technology & Instructional Design
Online Learning Innovation and Design
Organizational Leadership and Change Management
Organizational Learning and Performance
Strategic Innovation and Change Management
*Master's Plus - Some M.S. in Data Analytics students may be required to take RES500 as part of their program if they have an undergraduate GPA below 3.00. In this case, the degree is 39 credits.