MBA in Business AnalyticsCurriculum
The MBA in Business Analytics curriculum combines core MBA courses with data-specific courses. In just 16 months, you’ll learn data analysis and application while simultaneously gaining a holistic understanding of the business world through courses such as Business Process Design, Marketing Management and more. Together with a small cohort, you’ll advance through the 15 courses listed below and gain hands-on experience using data analytics software and programming languages such as SQL, Tableau, Power BI, Amazon Web Services, Python and R. Rapid Miner. Classes are offered in a combination of online and on-campus formats for maximum flexibility and work-school balance.
Program Schedule
MBA in Business Analytics Program Schedule
Presentation of the nature, techniques and uses of accounting from the perspective of people who manage businesses and investments in businesses. Covers both financial and management accounting.
Individual, interpersonal, and small group behavior in complex organizations. Focus on behavior, its causes, and management interventions to improve organizational effectiveness. Research methods to study organizational behavior.
Review techniques for structuring and managing data in organizations. Discusses data concepts, data modeling, database requirements definition, conceptual, logical, and physical design, and admin.
Review of quantitative methods and techniques required for business analysis and decision making. Includes decision models, mathematical programming, statistics and forecasting.
Examination of defining characteristics of projects and introduces a variety of relevant techniques. Includes project manager functions like managing scope, time, quality, and cost.
Data Warehousing and Online Analytical Processing tools will be utilized to organize and analyze large volumes of data in order to explain the past, monitor the present, and anticipate the future.
In-depth examination of asset, liability and capital structure management, with emphasis on valuation capital budgeting techniques; risk evaluation; working capital management; and methods of short-term, intermediate and long-term financing.
Comprehensive treatment of analysis of financial statements as aid for decision making; looks at current state of financial reporting practices and impact of published statements on economic systems.
The course covers fundamentals concepts, principles, and techniques that can be used to improve business performance through the analysis, modeling and design of the as-is and the to-be business processes.
Introduction to reporting and data visualization principles and techniques to support business decision- making and information reporting needs utilizing operational, accounting and financial data.
Analysis and application of theory and problem solving for marketing management in the global environment. Emphasis will be on the role of marketing in the organization; planning the marketing effort; management of the marketing organization; control of marketing operations; and evaluation of the marketing contribution.
Use of quantitative methods and statistical programming to manipulate and describe data, as well as conduct advanced analyses of categorical, longitudinal, and other types of data sets.
This course covers business analytics skills required to conduct both pattern discovery (e.g., segmentation and association) and predictive modeling (e.g., decision trees and neural network mining).
Use of data management programming to convert, manipulate, and transform business data, as well as integrate disparate data sets from different business organizations.
Introduction to fundamental concepts and practical applications of text mining and analytics; including converting unstructured text to structured data, as well as extracting useful information.
