This course is designed to provide a broad overview of management consulting and other related advisory services professions while also helping students develop skills that are broadly applicable in these professions as well as in other fields (business, politics, not-for-profit, etc.). Working both individually and in teams, students will gain an appreciation of what makes consulting and advisory services unique from other areas of business.

This course is focused on harnessing the power of unstructured data to perform advanced analytical techniques. Students will be exposed to big data technologies (NoSQL, Hadoop, etc.) to understand how to manage and interact with large, complex data sets. We will also cover various analytical and machine learning techniques that can apply to these data, with particular attention to text data from reports, articles, and social media.

This course is second in a two-seminar sequence that introduces students to the science and business of the biotechnology industry. In addition to continued exploration of translational research, this course will focus on deeper scientific and commercialization topics specific to the industry, including operational and financial perspectives across all stages of organizational maturity. Students will learn from industry leaders who are commercializing, analyzing, and investing in biotechnology.

This course focuses on how to successfully commercialize breakthrough technologies that have high potential to generate social and/or economic value. Issues related to identifying market needs and potential, developing commercialization plans, and understanding business models and entrepreneurial strategy are covered. As an introduction, this is not an appropriate course for students who minored in or have a strong foundation in entrepreneurship.

This course is designed to expand your knowledge of financial reporting from a user's perspective. To do this, we use firm disclosures to explore: how analysts use financial information to value the firm, how some managers attempt to alter perceptions of firm value, and how accounting rules can impact perceptions of firm value. Restricted to MS in Accounting Students.

This course helps students understand how behavior, psychology and biases influence the preparation, interpretation, and auditing of accounting information. The class will explore theories and research on judgment and decision making, and how those theories apply to aspects of financial reporting and auditing. Restricted to MS in Accounting Students.

Includes the planning, processes (gathering evidence), & judgments required to render an opinion on an entity's internal controls and financial statements. Deals with evidence theory, risk identification & professional judgment. Audit methodology is examined through a study of auditing standards & the concepts & procedures developed to implement those standards. Other topics include data analytics, auditor independence, materiality & audit reports.

Given the widespread use of financial reporting and the growing use of Big Data, business institutions have increasing demand for people who can bridge the disciplines of data, analytics methods, and decision making. This course is designed to develop your ability to extract, analyze, and interpret information from required financial reporting.

The course addresses the various business, tax, and accounting issues arising in connection with the formation, operation, and termination of domestic corporations and their shareholders. It provides in-depth coverage of the technical rules of Subchapter C, and places special emphasis on the identification and implementation of tax planning strategies available to corporations and their shareholders. Restricted to MS in Accounting Students.

New Graduate Commerce Course: Special Topics in Finance