This course provides an overview of several business research methodologies useful to organizational leaders in decision making. An application-oriented approach focusing on the systematic analysis of data will be used to inform decision making. Through a gained understanding of qualitative, quantitative, and practical business approaches, learners will be exposed to a variety of methodologies and approaches for data collection and analysis.

In today's business environment, it is important to be able to understand various philosophies related to organizational system analysis, data analysis, development, and change. During this course, students will examine the critical components of successful organizational change efforts, including critical and creative thinking processes, and change theory.

This course is a foundational study of procedures and techniques of business systems. Learners will gain a better understanding of the environment of business, business ownership and entrepreneurship, organization and management, human resources, marketing, managing information, business accounting, and business finance.

Examination of leadership through an introspective approach. Self-awareness and the ability to assess oneself are basic tenets of processing high emotional intelligence. Students will gain an awareness and understanding of various leadership assessments, including the DISC Profile Assessment, to evaluate their own strengths in preparation for their current and desired future leadership positions.

This course covers three major knowledge bases in business intelligence: data mining, decision metrics, and applied statistics. Students will be introduced to practical strategies to mine data from public and internal sources. They will practice utilizing key indicators to make business decisions through a case-based approach. Learners will apply statistics to decision problems and use statistical arguments to justify delayed and aggressive responses.

This course focuses on the persuasive elements of business intelligence. Students will learn to prepare and clean data into useful and compelling forms, and then utilize that data to first create charts, graphs, and kernal density plots. The course culminates in expanding the data to full visual analysis though visual storytelling from data and reactive real-time data displays.

In this seminar course, students practice the writing, critical thinking, technology, and communication skills necessary for success as they progress through the academic program through case studies, workshops, and other activities. Restricted to online MBA program students.

Students apply research and analysis techniques to investigate an issue or solve a problem in an organization including a determination of the return on investment (ROI) of the solution. Experience is gained in defining research problems, designing a project, relating pertinent literature, and in collecting, analyzing, recording, and interpreting data. Restricted to online MBA program students.

A dynamic learning experience focused on topics and skills that are associated with health care leadership and decision making. Students explore health information management, data analysis, and using data to lead change. Restricted to online MBA program students.

A course, on a special topic in the discipline at the post-baccalaureate or master degree level, offered on the basis of need, interest, or time lines. May be repeated for credit. See registrar's office current class schedules Web page for specific semester description.