MBA 625 - Information Systems
MBA 702 - Quality and Performance Management
This course focuses on various information and communications technologies. Students will examine how information systems are used to solve problems, manage data, and make better business decisions. Topics include management information systems, databases, ERP systems, cloud computing, and information privacy.
MBA 745 - Analytics for Business Intelligence
In this course, students examine quality management as it provides the means for the organization to define its culture and support the constant attainment of stakeholder satisfaction through an integrated system of tools, techniques and training. Concepts and practices to effectively manage, measure and improve the organizational performance are also examined. Topics include a comparative analysis of influential quality theorists such as Deming, Crosby, Taguchi and others, application of various continuous improvement techniques, definition and development of individual, group and organization-level performance indicators and performance improvement systems.
MBA 746 - Data Analytics: Managerial Perspectives
This course provides review of business analytics and advanced business intelligence concepts. The emphasis is on conceptual understanding as well as conducting statistical analyses using available application programs utilized within the business enterprise. Students gain an understanding of the key methods of predictive analytics and analytics-driven solutions to facilitate decisions and actions. This course will practice these methods with hands-on analyses of real datasets. Topics include an introduction to business analytics, uses of statistical data, statistical and quantitative analysis, exploratory and predictive modeling, and analytics driven solutions.
MBA 747 - Database Strategies
This course discusses business analytics tools and their application to management problems. Topics discussed include: types of business analytics, understanding the value of big data, business intelligence tools, the nature of analytical competition, analytics and business performance, the architecture of analytics and big data, and applied analytics and strategies. Real world company examples and strategies will be discussed.
This course presents the principles of database management. The course is designed to prepare business leaders to understand how data is stored, retrieved, and analyzed for effective decision making. Topics include database design, schemas, database manipulation utilizing SQL, database security, data integrity, and privacy issues.