Business Analytics
Courses
BSAN 601 Business Analytics for Managers 3.0 Credits
Business Analytics is an interactive process of analyzing and exploring enterprise data, in order to understand the past, make predictions about the future, and guide decision-making. In this course, students will learn how to use analytics in their decision-making. Analytics through the methodology of problem framing, model building, analysis, and communicating insights is explored.
Repeat Status: Not repeatable for credit
BSAN 605 Data Visualization for Managers 3.0 Credits
For contemporary firms, data analytics are often an essential complement to human expertise and intuition in the decision-making process. To be successful, managers need to understand how data, models, and advanced computing can help meet the challenges of stronger competition, more sophisticated customers, and globalization. In this course students learn how firms can integrate data and tools to take advantage of business opportunities, improve organizational functions, and reduce risks in a data-oriented way. The course places particular emphasis on data visualization tools and methods that can be used to achieve better understanding of patterns, trends, and outliers in data. These often lead to valuable business insights. Managerial and leadership perspectives are highlighted throughout the course.
Repeat Status: Not repeatable for credit
Prerequisites: BSAN 601 [Min Grade: B-]
BSAN 615 Data Visualization & Analytics 3.0 Credits
Graphical methods enable data and information to be presented in an easily consumable, insightful, and actionable manner. Descriptive, diagnostic, predictive, and prescriptive analytics all benefit from data visualization, through the use of infographics, interactive visualizations, dashboards, and more recently, augmented analytics. This course will focus on three main facets of data visualization: strategy and implementation, Interpretation and insights, and communication and storytelling.
Repeat Status: Not repeatable for credit
Prerequisites: STAT 610 [Min Grade: C]
BSAN 710 Business Analytics Capstone Project 3.0 Credits
Contemporary business is embedded in a data-driven economy. Large datasets must be analyzed to understand the financial, economic, technological, societal, social, and environmental impacts of products, services, and policies. In this course, students execute a data-driven project in order to demonstrate their ability to meet this challenge. Projects draw on multiple quantitative skills: data management, mathematical modeling, and statistical analysis to support decision-making processes. Emphasis is also placed on ability to develop business insights from data and present findings to decision makers.
Repeat Status: Not repeatable for credit
Prerequisites: MIS 612 [Min Grade: C] and MIS 632 [Min Grade: C] and OPR 601 [Min Grade: C] and STAT 642 [Min Grade: C] and STAT 645 [Min Grade: C]