This course exposes students to the international issues, business practices, and concerns in their respective global immersion location. Prerequisite: Restricted to MS in Commerce students.

The course will provide a blend of theoretical knowledge and practical skills necessary for effective project and product management.  Students will have a chance to apply these skills by working as a team and conducting projects such as a design thinking team.

This course aims to provide students with a practical understanding of Artificial Intelligence technology. It covers key factors for the successful development, deployment, and management of AI, machine learning, and other algorithmic approaches to automated decision-making. Students will better understand the societal impacts of AI, ethical considerations in the use of AI, the limitations of AI, and approaches to balance AI risks and benefits.

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.

This course provides students with an introduction in how to effectively fill the role of Project Manager. It covers a blend of conceptual knowledge and practical skills necessary for the effective management of complex projects.

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.

Through labs, assignments, and a capstone project, students build, evaluate, & deploy predictive ML/AI models using low-code technologies and learn how to apply these concepts to create value & support real-world applications. Students will also learn managerial considerations employing analytics initiatives to create business & societal value. No prior experience with coding, machine learning, or AI is assumed or expected.

New Graduate Commerce Course: Special Topics in Finance

The course provides an overview of the fundamentals necessary to conduct data analytics with Python including understanding Python objects, data types, structures, packages, and data flow statements; and, reading, writing, manipulating, and plotting data. Students will perform predictive analytics via machine learning using industry-standard packages.