This course develops expertise in Finance, Technology, Innovation, leadership, and decision-making by focusing on real-world challenges in the field of FinTech. We will be actively discussing and learning how to analyze, identify, and manage/innovate FinTech across many functional disciplines, including Financial, Insurance, Banking, Trading, Information Technology, and Budgeting. Students are introduced to the Financial industry and the FinTech ecosystem. The course adopts a decision-maker and leadership perspective (business, operational, functional, and technical leadership) by emphasizing the relationships among financial data, their underlying economic events, risk profiles, challenges/opportunities, and the responses by all stakeholders in a business/corporation.

This course is designed to bring together concepts from Business Strategy and from traditional investments courses-in order to develop the thinking and techniques behind what is called "value investing." Unlike traditional investments curriculum, however, the emphasis here will be on individual company analysis and stock portfolio construction. That is, although understanding market dynamics remains important, we will mostly look at the capital markets from the vantage point of investors evaluating the investment prospects of one company at a time. In all, the course will develop concepts that help understand how and why stock prices fluctuate-or behave-so badly, and how careful individuals and companies ought to navigate through wildly unpredictable financial markets. In order to develop useful concepts and ways of thinking about the financial markets, therefore, this course will go beyond the textbook to practices, principles, and methods of investing as suggested by such value investing greats as Ben Graham, Phil Fisher, Warren Buffet, and Charlie Munger.

This course provides an introduction to Business Intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. Students will learn to extract and manipulate data from these systems and assess security-related issues. Data mining, visualization, and statistical analysis along with reporting options such as management dashboards and balanced scorecards will be covered.

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.

In this course, students build on their fall experience by translating self-discovery into professional readiness. They refine resumes, craft LinkedIn profiles, and practice elevator pitches while meeting with career coaches and peers to explore majors and industries. Emphasizing communication, collaboration, and professionalism, the course prepares students to navigate career conversations confidently and engage more fully in the Isenberg community.

In this course, students build on their fall experience by translating self-discovery into professional readiness. They refine resumes, craft LinkedIn profiles, and practice elevator pitches while meeting with career coaches and peers to explore majors and industries. Emphasizing communication, collaboration, and professionalism, the course prepares students to navigate career conversations confidently and engage more fully in the Isenberg community.

This course will provide a conceptual framework for accounting for the combination of firms into a single economic entity. Topics include business combination consolidation problems, and accounting for international operations by examining translation of foreign currency financial statements and accounting for foreign currency transactions. Also examines fund and not-for-profit accounting.

Continuation of ACCOUNTG 221. Conceptual framework for accounting for a firm's reported assets. The nature of assets, their recognition, measurement, and disclosure. Motivations of management in choosing among acceptable accounting alternatives in each of these areas examined, along with the economic consequences of such choices. Prerequisite: ACCOUNTG 221.

Examines representing, capturing, and reporting of information about events relevant to the operations of a business organization. The course also uses various data analytics approaches to analyze the efficiency, effectiveness, and control of business processes. Controls over business operations are examined from a number of different perspectives including COSO and CoBIT.

Examines representing, capturing, and reporting of information about events relevant to the operations of a business organization. The course also uses various data analytics approaches to analyze the efficiency, effectiveness, and control of business processes. Controls over business operations are examined from a number of different perspectives including COSO and CoBIT.