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.

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.

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 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.

In today's highly competitive and data-rich business landscape, the strategic application of advanced marketing analytics is essential for driving organizational success. This master's level course empowers students with deep expertise in leveraging R for sophisticated marketing analyses. The key topics include customer segmentation using machine learning, product analytics using conjoint analysis, and predictive sales modeling. Throughout the course, students will engage in rigorous case studies and projects that mirror real-world challenges, fostering the ability to design data-driven marketing strategies. Emphasis is placed on critical thinking, analytical problem-solving, and the practical application of R for marketing analytics. By the end of the course, students will have honed their skills to not only interpret complex data but also to influence strategic business decisions at high level.

This course integrates foundational micro- and macro-economic concepts with the core principles of corporate finance and financial markets. Students learn how markets, incentives, and policy shape financial decisions inside firms and how financial tools quantify those decisions. We move from the principles of scarcity and equilibrium to capital budgeting, risk, and valuation?always linking economic reasoning to financial outcomes.

Organizations?whether businesses or non-profits?are increasingly reliant on information technology (IT) and operations excellence to achieve strategic goals, drive innovation, and maintain competitive advantage. This course provides a broad survey of the strategic and operational roles of Information Systems Management (IS) and Operations Management (OM) in modern organizations. Over the first seven weeks, students explore how information systems support business processes, decision-making, and competitive advantage. Topics include digital transformation, digital strategy, implementation of information systems, cybersecurity, and emerging technologies. The second half of the course focuses on operations management, emphasizing operations strategy, supply chain strategy, process design, capacity planning, and process improvement. Through case studies and discussions, students learn to evaluate and apply IS and OM concepts to improve organizational performance and resilience. By the end of the course, students will be equipped to critically assess how information systems and operations strategies?when aligned with distinctive competencies and competitive priorities?can enhance the positioning and effectiveness of their organizations.

This is a "high elevation" course covering a wide range of issues regarding financial markets. The short duration of the course will make this coverage summary in nature, but will not prohibit you from learning much about the financial world, and financial markets.

Basic concepts of supply chain management such as synchronized information, product and financial flow, channel design and configuration, supplier relationships, internal and external logistics, and inventory deployment and replenishment. Supply chain modeling for the optimization and monitoring of a supply chain, or a segment thereof, using network (mathematical programming) models.

Basic concepts of supply chain management such as synchronized information, product and financial flow, channel design and configuration, supplier relationships, internal and external logistics, and inventory deployment and replenishment. Supply chain modeling for the optimization and monitoring of a supply chain, or a segment thereof, using network (mathematical programming) models.