This course will cover major topics on hedge funds, including the industry overview, legal and fee structures, fund characteristics, hedge fund investment strategies, performance analysis, unique risk measures for hedge funds, asset allocation, funds of hedge funds, and the relation between traditional and alternative asset classes. There will be three real world cases related to hedge fund investment strategies and major blowups. The objective of this course is to provide students with cutting-edge knowledge on hedge funds and relevant investment skills.

This course combines three perspectives essential to financial decision-making: inferential thinking, computational thinking, and real-world relevance. Financial decisions are increasingly data-driven, and require more than inferential thinking. Computational thinking and real-world problems are also needed for finance professionals to function effectively. Students will utilize all three perspectives to make better financial decisions.

This course is designed to provide students with the key building blocks necessary for a career in fixed income investment management, with applications to real estate and banking. Students will learn how to select, evaluate and manage fixed income investments. This course makes extensive use of case studies to afford students the opportunity to apply the theory and lessons learned in the text and class, to real world situations.

This course will provide an overview of the practice of Commercial Real Estate from a financial investment perspective, including strategic planning, transaction management, valuation, capital markets, sustainability, construction project management, development, building systems, property management, legal issues, and developing a disruptive leadership mindset. Real estate asset types to which these topics will be applied include multi-family, office, industrial, logistics, retail, eCommerce, and data centers.

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.

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 prepares students to consider the application of AI in business. Students will learn to use standard machine learning (ML) models in Python, and understand how to apply them across a range of business functions. Students will propose and implement a ML project.

This course provides an executive viewpoint of marketing concepts, such as branding and segmentation, for strategic and organizational decision-making. There is an emphasis on tools available for analysis and control of marketing activities, including the use of new media. Topics also include industrial life cycles, customer experience, and pricing strategy.

This course will develop a student?s mastery of cutting-edge project management techniques in Agile and Scrum methodologies, technologies, and toolkits. The student will be able to successfully develop and manage Agile teams, apply sound judgement to appropriate method implementation, ensure project outcomes, and influence business stakeholders. The course will include practical experiential learning, in a teams-based setting, to lead and demonstrate various Agile and Scrum tools and techniques.

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.