This course helps students to apply their knowledge of financial accounting, business strategy, and finance in the evaluation of corporations using financial reports. Decision settings include stock evaluation, credit analysis, bankruptcy prediction, and general-purpose evaluation. The course is a mixture of concepts underlying financial statement analysis and their application to real companies' financial statements.

Capstone course requiring application of knowledge and techniques derived from previous courses. Course presents strategic management theories and frameworks, uses integrative cases, and leverages empirical observations to guide students in the formulation of successful firm-level strategies.

This course serves as a capstone course for the MF in Alternative Investments program. In previous courses, you have learned all about hedge funds, private equity, real assets, and other alternative investments. In this course, we will put all the pieces together. That is, how are asset allocation models built with knowledge of the specific characteristics of alternative investments? Once the asset allocation weights are determined, the manager selection process begins. This includes both investment due diligence and operational due diligence to ensure that the right set of risks are included in the portfolio and that operational risks are minimized.

The goal of this course is to teach leaders what they need to know in order to build high-performance operations with world-class processes of innovation and continuous improvement. We cover the most current methodologies and tools, together with the most important soft skills required, to create efficient and responsive operations that deliver the highest quality services and products.

This course is designed to provide students with foundational knowledge and practical skills in generative AI and prompt engineering. Students will explore AI's transformative impact on business, learning to apply pre-trained models, refine prompts, and utilize generative AI tools for strategic decision-making, customer engagement, and content generation. The course emphasizes AI applications over technical implementation, focusing on tools, strategic impact, and ethical considerations.

This course is designed to provide students with foundational knowledge and practical skills in generative AI and prompt engineering. Students will explore AI's transformative impact on business, learning to apply pre-trained models, refine prompts, and utilize generative AI tools for strategic decision-making, customer engagement, and content generation. The course emphasizes AI applications over technical implementation, focusing on tools, strategic impact, and ethical considerations.

Supply chain constitutes a core competency, spanning most business functions required for the delivery of products and services to consumers. Advances in information technology and analytics facilitate continued improvement in supply chain infrastructure and operations efficiency. This course will introduce fundamental concepts in supply chain management, IT-enabled supply chain operations, procurement management, production planning, inventory management, and logistics and transportation. The course involves the use of Excel to support decision making, the study of selected business case studies, and the use of a team-based supply chain simulation game.

This course covers essential concepts and methods to foster data-driven decision-making to motivate business insight and innovation. Lessons cover topics in big data, algorithmic thinking, machine learning, data visualization, and communication. Projects spanning several weeks focus on business problems that can be solved through the application of cutting-edge Data Science techniques. Students develop proficiencies in the use of Python, R, and Tableau by completing regular exercises and projects using real data.

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.

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.