The practice of financial management in non-profit organizations is significantly different from that in for-profit businesses. Many of the differences stem from the difficulty of measuring and valuing outputs, and from restrictions imposed by donors and grant-making agencies.

Securing adequate resources is a challenge for all non-profit organizations. Funding can be obtained from a variety of sources, including grants, user fees, gifts and bequests, and investments. This course provides the tools for properly assessing the funding mix of an organization and developing strategies to increase revenue streams. In particular, topics such as fee setting and collection, grant writing, investment management, public relations, and donor development and relations are covered.

Managers of non-profit and charitable organizations face numerous legal challenges not faced by corporate managers. The course examines a number of such legal challenges including formation of the charity, obtaining charitable status, reporting requirements, charitable governance, employment and human rights concerns including codes of conduct and lifestyle requirements, working with volunteers, and exposure to tort liability.

This course examines the unique characteristics and role of non-profit organizations in our society. From this perspective, we seek to understand the role of effective management and leadership of non-profits, with attention to factors that leaders may use to improve the effectiveness of their organizations. Through case description and theoretical analysis, students learn about major differences between managing non-profit and profit-making organizations. Students acquire skills focused on governance, financing, and general management of non-profit organizations.

This course explores the elements of an effective start-up of a charitable organization. They include analysis of steps needed to form a charitable organization, development of a business plan, recruiting leadership, establishing a board, securing seed funding, and much more. The course also analyzes why some organizations succeed while others do not. 

This integrated project for a non-profit organization requires students to apply several management disciplines to the development of a complex project in an actual non-profit community setting. Students will work closely with both the professor and individuals in the nonprofit community to complete the project. All projects are to be approved by the MBA Director. 

This course examines how analytics and artificial intelligence (AI) are applied to support strategic and tactical operational decision-making under uncertainty within organizations and across supply chains. The course focuses on data- and AI-enabled approaches to forecasting, capacity planning, process design, inventory management, and supply chain risk and resilience, including the evaluation of key operational trade-offs.

This course examines how analytics and artificial intelligence (AI) are applied to decision-making in corporate finance, financial services, and financial markets. The course focuses on data-driven and AI-supported approaches to financial modeling, forecasting, risk assessment, valuation, and portfolio and market analysis. Topics include analytics for capital investment and financing decisions, financial risk management, portfolio optimization, contingent-claims analysis, simulation-based methods, and applied financial econometrics.

This course examines how analytics and artificial intelligence (AI) are transforming the marketing function by enabling data-driven insight into customer behavior, preferences, and market dynamics. The course focuses on applying analytical approaches to key marketing decisions, including the customer journey, segmentation and targeting, pricing and promotion, marketing mix effectiveness, digital and programmatic advertising, and customer acquisition and retention.

This course introduces analytical thinking and data-driven decision-making for managers and analytical professionals. The course focuses on using business data and analytical tools to frame problems, evaluate alternatives, and support strategic and operational decisions under uncertainty. Topics include descriptive and diagnostic analytics, the managerial use of predictive insights, performance measurement, data interpretation, visualization, and effective communication of insights.