Examines and evaluates legal problems as they relate to the business environment. Course will deal with areas of law including contracts, agency, ethics, bankruptcy, business organization and other areas of commercial law.

This course provides an overview of statistical analysis and inference. The language and methods of statistics are used throughout the MBA curriculum, both in the classroom and in assigned readings. In addition, the language and methods of statistical analysis have permeated much of academic and professional writing as well as media reporting, both inside and beyond the business community. The goal is to present a broad introduction to statistical thinking, concepts, methods, and vocabulary. The course has an emphasis on business applications.

The course covers advanced topics in financial intermediation, including mutual funds, dealers, and hedge funds. It introduces the business model of each of these intermediaries, including how they manage liquidity, credit, and interest rate risk.

This course is designed to help students meet the demand for effective writing and speaking skills in the professional workplace. Topics include rhetorical considerations involving audience and purpose, writing style and tone, organizational strategies, research skills, evidence-based writing, and page design, along with assignments in professional correspondence, report writing, and public speaking and visual aids. This course satisfies the University's junior year writing requirement.

This course provides a broad view of entrepreneurship. Topics include the business plan, raising money for a new venture, assessing the riskiness of new businesses and the unique management challenges of startups.

This course examines media, technology and communications through the lens of the commercial sports industry and its evolving set of stakeholders. Students analyze the means by which teams, brands, athletes, leagues, and venues in the sports industry develop and leverage existing, and emerging, media and technology in order to accomplish business objectives and more effectively communicate with consumers.

Capstone course requiring application of knowledge and techniques derived from previous courses. Course presents strategic management theories and frameworks, uses integrative cases, and leverages empirical observations to guide students in the formulation of successful firm-level strategies.

Capstone course requiring application of knowledge and techniques derived from previous courses. Course presents strategic management theories and frameworks, uses integrative cases, and leverages empirical observations to guide students in the formulation of successful firm-level strategies.

This graduate course provides comprehensive coverage of project management, focusing on the methods and competencies needed to effectively manage projects. Upon successful completion of this course, students will be able to understand different project management techniques, terminology and trends; define project success measures and methods; improve quality, cost and efficiency with the project management process; and gain basic competency using project management software.

This course provides an introduction to topics in managerial data mining, and related data retrieval and manipulation content. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially-focused course, students will learn how to use such models and interpret output. Students will also be introduced to a programming language for extraction and manipulation of data. Experiential exercises will be assigned using leading industry applications.