MBA in Business Intelligence and Data

This course is intended for business students with these goals: 1) To provide the key methods of predictive analytics and advanced business intelligence concepts; 2) To provide business decision-making context for these methods; and 3) To illustrate the application and interpretation of these methods using real business cases. The course covers trends in predictive analytics and understanding available application programs that can be deployed within the business enterprise.

This course introduces students to an area of business administration that considers the extensive use of data, methods, and fact-based management to support and improve decision making. While business intelligence focuses on data handling, queries, and reports to discover patterns and generate information associated with products, services, and customers, business analytics uses data and models to explain the performance of a business and how it can be improved. This course discusses the benefits of employing analytics and a structured approach to problem-solving in management situations.

This course will familiarize students with the assumptions underlying various statistical techniques and assist in identifying their appropriateness in a variety of situations. Students should be able to perform statistical analysis and interpret results in a meaningful way. Students are expected to relate the results of such analyses to become information-based decision makers.