Master of Business Administration with a Concentration in Data Analytics Online

An application of microeconomic principles to business decision-making. Economic theory and quantitative methods are applied to managerial decisions about pricing, production, profit maximization, and government restraints. It is presumed the student has an understanding of preliminary calculus.

The primary emphasis of this course is on management's use of accounting information to manage the resources of a complex organization. The course focuses on three major areas: fundamentals of cost systems; managerial decision-making; and managerial planning and performance evaluation.

Concepts and methods of the scientific research process within the context of business and management. The course emphasizes an applied approach providing a thorough understanding of the nature and scope of business research.

An integrative course utilizing the comprehensive case study method to develop experiences in effective application of marketing strategies to create competitive advantages. Emphasis is on the relationship of the marketing function in a multinational context.

Theory and application of statistical and quantitative techniques to various types of business data. Emphasis is on the interpretation and use of data analysis results from a manager's perspective. Use of statistical computer software is an integral part of course. Both descriptive and inferential statistics are covered.

This course covers the practice and theory of managers making financial decisions for the firm. The basis for all decisions builds from the premise of maximizing shareholder wealth. Topics include risk and return tradeoffs, valuing stock and bonds, evaluating choices among sources of capital and capital structure, evaluating dividend policy, evaluating the selecting expansion projects, using derivative securities to managing risk, firm valuation, and short-term cash management.

A capstone course for graduate students in the last stage of their coursework toward an MBA degree. It covers the integration of the skill and functions of management to develop long range plans and to implement and manage the efforts directed toward the accomplishment of organizational objectives.

The study of human behavior in organizations and its effect on establishing and attaining organizational goals in an effective and efficient manner.

Students will learn how to build a complete (albeit rudimentary) machine-learning environment. This includes training predictive models based on live data or live data exports, delivering the predictions to clients, then recording the new client behaviors that are used to retrain the predictive models. The course content is structured to walk students through the data mining process in its natural order as documented by the Cross-Industry Process for Data Mining (CRISP-DM), beginning with identifying the unstructured business problem to be solved or goal to be met. For example, a client might ask the questions: How do we help consumers find our products easier/faster/more efficiently? Are we offering the right products to our consumers? Who is buying our products and why?

This course is intended for aspiring data scientists and for people who will work with data analysts and data scientists, manage analytics projects or invest in analytics ventures. It provides opportunities for students to gain skills in data-analytic thinking required to succeed in today’s analytical and data-driven economy. We will introduce the basics of data management and data analytics. This course covers the core analytic techniques of data exploration and visualization, pattern discovery (segmentation and association), predictive modeling (decision tree, logistic regression, neural network), and forecasting.

The new age of marketing requires an understanding of data. This class will give you the right tools to stay relevant. It also offers the theoretical understanding of data necessary for you to adapt to the many changes in marketing, while also equipping you with the skills you’ll need to perform vital daily functions. By the end of the course, you will be able to walk into any company and help make data-driven marketing decisions.

This course covers analytical techniques that apply to supply chain logistics, including transportation, warehousing, inventory control, and supply chain design.