This course provides an introduction to management and use of data in business. The course emphasizes understanding fundamentals of relational database systems design and querying using SQL and provides a basic understanding of developments and trends in Business Intelligence/Analytics, with implications for accountants. Restricted to MS in Accounting Students.

Today's CPA must have a working familiarity with a number of areas of business law to properly advise clients and to protect their own interests as a practitioner. This course is designed to meet both objectives. The course is broken into six main parts: (1) business entities; (2) civil liability and unfair competition in business; (3) intellectual property; (4) employment law; (5) contracts; and (6) bankruptcy law for businesses.

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 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.

This class provides students with a deep understanding and hands-on experience with information technology in business settings: advanced Excel features, macros, pivot tables, SQL, databases. By the end of the class students will have developed and tested an Excel-based system to solve a complex business problem in a financial setting. More at http://webs.comm.virginia.edu/Grazioli/GCom7770 Restricted to MS Accounting students.

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.

The course is designed to expose students to important skills that will be critical in their career development and management. We do this by doing cases and exercises; and learning from professionals about keys to success. Restricted to MS in Accounting Students.

Presents the opportunity to examine new and emerging IT topics or study a particular IT related area in greater depth than is covered in other courses. Prerequisite: Graduate Commerce.

Develops an analytical framework by which individuals and institutions can make real estate investment and financing decisions. Emphasizes theory, concept building, financial modeling, and practical real estate applications. Uses the case method to illustrate implementation of an analytical framework. Restricted to Graduate Commerce.

Examines ways to design, develop and execute effective integrated, web, and social marketing programs. The course uses a business planning model which allows students to justify, build, and execute social and digital marketing programs with bottom line ROI. Students learn to identify and measure high value market segments, use web and social research to evaluate competitors and convince management of the value of digital and social marketing.