MBA 690: CREATING CUSTOMERS THROUGH EFFECTIVE MARKETING MANAGEMENT
The course shows how the techniques of marketing management can be used to attract and satisfy customers while building long-term business profitability. Topics include (1) market, consumer, and competitive analysis; (2) segmentation, targeting, and positioning; (3) product development, pricing, promotion, and distribution; and (4) marketing strategy and planning.
Prerequisites: MBA 501
MBA 691: MANAGERIAL ACCOUNTING FOR DECISION MAKING, PLANNING, AND CONTROL
This course focuses on the firm’s management accounting system as its primary information system. It examines the problems of cost measurement, planning, coordination, control, and incentives. It explores how accounting systems address business problems and evolve in response to the changing economic environment. The course will relate ethical and global issues to managerial accounting topics. During it, the students will be utilizing computer software to solve managerial accounting problems and cases.
Prerequisites: MBA 502, MBA 615
MBA 692: FINANCIAL PERFORMANCE: CONTROL AND MEASUREMENT
This is a survey course focusing on how managers can construct a decision-making process that maximizes the value of the firm. Because the majority of financial decisions require an estimate of future events, a considerable time will be spent investigating how to achieve the above objectives, subject to the constraints of an uncertain future. Outside readings, case studies, and text material will be used to integrate current financial theory with pragmatic financial decision making. A working knowledge of the basic concepts in finance, accounting, and statistics is assumed. The use of an electronic spreadsheet is needed for homework assignments and case analysis.
Prerequisites: MBA 502, MBA 503, MBA 615, MBA 630
MBA 693: Business Analytics for Informed and Effective Decision Making
This course introduces students to the growing field of business analytics. Business analytics is the use of data, information technology, statistical analysis, and quantitative methods and models to support effective organizational problem solving and informed decision making. The course includes methods, tools, and techniques for summarizing and visualizing historical data, which is relevant to descriptive analytics – the use of data to find out what has happened in the past or is currently happening; methods, tools, and techniques for extracting information from existing data in order to determine patterns, which is relevant to predictive analytics – the use of data to find out what will happen in the future; and methods, tools, and techniques for optimization, which is relevant to prescriptive analytics - the use of data to determine the best course of action in the future.