Master of Business Administration with a Concentration in Business Analytics Online

Provides a fundamental understanding of the strategic impact of decisions relating to the design, production, operation, control, and delivery of goods, services, and technology in organizations by using quantitative tools and qualitative frameworks. Applications and case analyses are used to study operational value and cost, materials management and distribution, management of technologies, and management for continuous improvement. Course topics include process planning, monitoring, controlling and improvement; project management; and supply chain planning, management, and analytics.

Focuses on the leadership roles and responsibilities of strategic managers and top-level managers who are responsible for setting organizational direction, enrolling employee commitment, identifying and managing organizational core competencies, establishing supportive organizational cultures, and ensuring organizational integrity.

Applies analytical techniques to the firm’s investment, financing, and dividend decisions. Topics include capital budgeting, capital structure, short-, intermediate-, and long-term financing, asset valuation techniques, and introduction to finance theory and literature.

Encompasses a comprehensive study of accounting information and its uses by professional managerial decision makers. Topics include areas in financial and managerial accounting and components of consolidated financial statements, cost and variance analysis, and budgeting.

Presents applications of microeconomic and macroeconomic theory, tools, and principles as they relate to problems and decisions that confront managers of business and other organizations. Microeconomics topics include demand and supply analysis, production decisions, market structure, and input employment decisions. Macroeconomic topics include measurement of economic activity and performance, macromodels, economic policy, and international economic dynamics.

Applies the statistical tools of hypothesis testing and regression analysis to practical business problems.

In this course, MBA students use statistical tools and AI to analyze business data.  Students analyze data using a variety of statistical tools, including classic hypothesis tests, correlation analysis, multiple regression, probit regression, and time series regression.  Data sets are provided in Excel.  Statistical calculations are conducted using AI. Course requirements: Microsoft Excel and an AI tool, such as Claude Sonnet 5 (which has a free version).

Examines strategic decision making driven by quantitative analysis. This course integrates data understanding, modeling, visualization, and interpretation with data driven decision making. Topics may include data acquisition, data management, analytic tools, and algorithms necessary to analyze business data.

Provides students with limited technical backgrounds with fundamental knowledge required for further study in Data Analytics and Programming. Topics may include data modeling and structure, database query languages (SQL, NoSQL, and NewSQL), data transformation, and exploratory data analysis.

Integrates data management, data visualization, and data modeling topics to expose students to model-based decision making. Prerequisites: CSCI 5000

Apply knowledge and skills developed in the graduate program in a realistic problem-solving environment. This capstone course is designed for MBA students nearing the end of their program. MGMT 5800 is restricted to students in the program.