MBA in Data Analytics

This course is designed to assess entry level business content knowledge and skills and validate both prior learning and experiential learning in the areas of business ethics, business leadership, global dimensions of leadership, human resource management, information technology management, strategic management and business integration, and the legal environment of business, accounting, finance, marketing, economics, analysis, operations and organizational behavior.

This course focuses on skills in research and decision making for the academic and business environment. Topics include the development of research and writing skills, development of decision-making skills, and reflection and review of research activities. Students research and write academic and business papers, specify decisions, characterize alternatives, apply judgment, manage peer pressure, and implement ethical decisions.

High-performing organizations are driven by leaders who enable people to be effective both individually and as part of work teams. Integrating current and emerging leadership strategies, this course helps students develop leadership knowledge and skills, identify critical business challenges in an era of global competition, and act to turn those challenges into opportunities. This course presents strategies for evaluating personal leadership strengths and weaknesses as well as building leadership capacity in employees to increase individual and team performance and lead positive changes in culture and organizational performance.

This course covers both financial and managerial accounting as they apply to decision making in the organization. Students will explore the similarities and differences between financial accounting information and managerial accounting information with a focus on selecting the appropriate information based on internal and external needs. Students will learn how to identify and collect the appropriate accounting information to assist them in making decisions and reporting information.

This course focuses on the role of marketing and the marketing department in adding value to the organization. Major elements of the marketing process to be covered include domestic and global market assessment, strategic marketing planning, the development of an effective marketing mix (product, price, promotion, and distribution) to create customer value, consumer/business buying behavior, and market research.

This course introduces students to the knowledge and skills needed to manage technology organizations in an increasingly competitive global environment through the successful use of innovation and creativity. The course provides a consistent process for the formulation, implementation, and assessment of technology business strategy and presents a framework for the birth, growth, maturation, and decline of business innovation. Students will analyze technology issues in various business sectors throughout the course and develop findings and recommendations.

This course provides students with the tools needed to manage operations and projects within an organization. Topics include demand forecasting and management, capacity planning and scheduling, inventory control, purchasing and materials management, facilities management, project management strategies and tactics, defining user needs and project scope, scheduling and budgeting, and performance objectives. Control methods, such as PERT/CPM, Gantt charts, project management software, and project audits, will also be covered.

This course focuses on how mission, vision, and values come together to inform the strategic planning process in an organization. The dynamic global environment that modern businesses operate in requires managers to master the art of thinking globally and to utilize frameworks for acting locally. Students will analyze the environment at a number of levels in order to develop a concise strategic plan.

This course is designed as the final capstone project, where students will demonstrate application, analysis, integration, and evaluation in a real-world project or simulation. The capstone experience gives each student the opportunity to demonstrate his/her ability to utilize what he/she has learned in the program.

The course is the final class in the graduate experience. The student will participate in a minimum of 135 hours of "on-the-job" experience under direction of a work-site supervisor in an approved organization agreeing to sponsor the internship. The experience must be outside of the student's current scope of work and the deliverables clearly demonstrate leadership and the acquisition of new knowledge and skills. The student and work-site supervisor will determine the scope of work and deliverables needed to demonstrate all graduate program core student learning outcomes. Evaluations of the level of proficiency demonstrated by the intern will be completed by both the faculty member and the work-site supervisor from the sponsoring organization. This course is offered in a 16 week format only.

This course is designed as the final capstone project, where students will demonstrate application, analysis, integration, and evaluation in an international real-world project or simulation. The capstone experience gives each student the opportunity to demonstrate his/her ability to utilize what he/she has learned in the program.

This class focuses on the mathematical and conceptual foundations of statistics within the context of data analysis.  Students will be exposed to applied applications of probability and statistical techniques.  Additionally, students will be introduced to the fundamental methods of data science and data analytics.  Students will explore the ethics and privacy concerns related to the field. Software tools will be used throughout the course.

This course explores and evaluates the various methods and standard models used to approach business problems.  Consideration of data sources (including data mining, text mining and databases) and project plans/life-cycles will be addressed. Students will assemble data from multiple sources and develop plans, processes and conclusions. Software will be used throughout the course.

This course allows students to apply data analysis methods to practical business problems.  Multiple functional areas will be addressed including marketing analytics as well as supply & demand forecasting.  Students will utilize industry best practices in the analysis, solution recommendation and visualization of cases.  Software will be used throughout the course.