MS Data Analytics

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.

Learning Outcomes

• Recommend appropriate actions for ethical situations in business analytics.
• Develop knowledge to extract, transform, integrate, load, and access large data sets.
• Employ business intelligence solutions for business forecasting and analysis.
• Evaluate principles of descriptive, predictive, and prescriptive analytics to address business challenges.
• Articulate analytical conclusions and recommendations in written and visual formats.