This course introduces managerial accounting for decision making and control in profit-directed organizations. It also defines product costing, budgetary control systems, and performance evaluation systems for planning, coordinating, and monitoring the performance of a business. Students will understand how modern organizations use managerial accounting to effectively plan and control operations and make sound business decisions.
 

In-depth coverage of concepts and decision-making tools in financial analysis, cost of capital, capital structure, capital budgeting, and dividend policy through analyzing competitive situations and developing strategic views of key financial dimensions.

 

This course is intended to introduce you to the essentials of the most important organizational behavior concepts and principles through instruction, reading, cases, and experience. The course focuses on practical and useful information and skills which will aid you in managing and working in an organization. The course will use evidence-based research to examine and explore the relationship between individual, team, and organizational characteristics and individual outcomes.
 

Study of analysis and decision-making directed at creating, producing, and bringing goods and services to market under uncertain business conditions. Includes techniques from project management, supply chain management, quality management, inventory management, forecasting, and productions planning.

 

Focus on the conceptual framework, managerial approach and analysis of deploying marketing resources to communicate and deliver value.


 

Managerial perspectives on the role of information resources in supporting organizational functions, including the strategic use of information systems; use, design, and evaluation of information resources; use of information technologies for managerial decision making, and IT support of different business functions.

 

This course will provide students with an understanding of microeconomic tools for managerial decision making. Students will learn how to use an understanding of economics to make better value maximization decisions for their company. Course topics will include supply/demand principles, demand elasticity and estimation, production and costs, market structure, strategic interaction, complex pricing problems, and decisions under risk.
 

This course teaches from the perspective of top management, integrating functional business expertise into analysis of the firm's internal resources and capabilities with analysis of the external environment in which the firm competes, to enable formulation and implementation of company strategy.

^{Prerequisites: MBA 701, 702, 703, 704, 705, 706.}
 

This course focuses on creating and enhancing customer value through new products and services. Students will learn the value of new product strategy and new product development process from opportunity identification to launch.

 

This course takes a very hands-on approach with customer intelligence and equips students with the marketing science understanding and techniques they need to solve real-world marketing challenges. This course uses a combination of lectures, cases, and exercises.

 

This course focuses on understanding, managing, and analyzing an organization's digital marketing strategy. Topics related to online business models, search engine optimization, paid search and display advertising, web analytics, email marketing, social media marketing, and reputation management will be considered.

 

This course focuses on marketing communications management in terms of strategy development, implementation, and evaluation. It examines the effects of changing environmental circumstance on integrated marketing communications and promotional strategy–budget allocation, messages, and media vehicles adopted.

 

This course is designed to prepare graduate students for the role of being a managerial leader. We will examine and practice the essential competencies such as creating a compelling purpose, role clarification, inspiration/motivation, problem solving, and team building needed as a manager and a leader.

 

This course provides tools and experiences to allow managers to become more sophisticated and effective decision makers. It examines logical processes relating to decision making, but also incorporates behavioral and organizational aspects of decision making.

 

This course is designed to provide practical negotiating knowledge primarily through hands-on experiential exercises. Topics covered are useful to the practicing manager and readings and lectures are designed to reinforce lessons learned during actual negotiations. Some of the topics covered: using agents in negotiation, conflict resolution, alternative dispute resolution, establishing value, working across diverse contexts, and employing (and defending) against common negotiation tactics.
 

Managing Conflicts in Organizations (spring), 2 credits

Study of conflict and conflict management in organizational contexts. Topics include conflict styles, conflict resolution, conflict management, conflict analysis, and positive and negative effects of conflict.

 

This course covers important business data analytics concepts including data warehousing, OLAP, ETL, data mining, self-service business intelligence, and business reporting and visualization tools. It provides hands-on experience in the use of some popular data analytics software tools with a focus on aiding managerial decision-making across different business functional areas.
 

Case-based discussion course examining how data analytics impact organizations today and issues related to the development of an overall business data analytics organizational strategy. Topics include business data analytics in organizations and its impact on business functional areas, strategic use of data and information, ethical issues related to data collection and usage, social and legal implications of pervasive digitization, and management of intellectual property.
 

This managerial-oriented course covers the use of analytic tools to generate predictive models such as logistic regression, decision trees, neural networks, and cluster analysis to generate deeper business insights in direct support of managerial decision making.

 

This course takes a very hands-on approach with customer intelligence and equips students with the marketing science, understanding, and techniques they need to solve real-world marketing challenges. This course uses a combination of lectures, cases, and exercises.