Required Courses
Applied AI for Business Professionals
ITAO 30110
3 Credit hours
This course develops the technical fluency and managerial judgment required to engage with artificial intelligence as a professional technology. Students examine how modern AI systems work—including the architecture and behavior of large language models and generative AI—and build the skills to evaluate outputs, diagnose failure modes, and recognize structural limitations. Emphasizing informed and responsible use rather than task automation alone, the course focuses on prompt design, workflow integration, tool evaluation, and effective human–AI collaboration across professional contexts. Students learn to assess when AI systems are appropriate, where they introduce risk, and how to interpret and communicate AI-generated outputs with clarity and accountability. The course also addresses organizational, ethical, and governance considerations, including transparency requirements, accountability structures, risk management, and the implications of AI-enabled decision-making. Designed for students pursuing careers across business functions, the course prepares graduates to apply AI technologies thoughtfully, effectively, and ethically in professional settings from the outset of their careers.
AI and Global Business
ITAO 30320
3 Credit hours
Artificial intelligence is not just another technology—it is a fundamental force reshaping how firms compete, create value, and organize themselves in the global digital economy. This course provides a strategic and economic lens for understanding AI’s transformative impact on industries, markets, and societies worldwide. Drawing on a framework of technology evolution spanning computation, information, and interaction, students will explore how AI fits into a longer arc of digital innovation while examining what makes this moment distinctly different across geographies and cultures. Topics include the economics of data and algorithms, platform business models, network effects, pricing strategies, cross-border digital trade, and the organizational implications of AI adoption in diverse international contexts. Students will evaluate recent developments in machine learning and generative AI and analyze their strategic, regulatory, and governance implications across different frameworks—equipping them to think clearly about how firms can harness AI to build durable competitive advantage in technology-mediated markets.
Ethics of AI and Data Analytics
ITAO 40510
1.5 Credit hours
Artificial intelligence and data-driven decision-making have afforded unprecedented opportunities for value creation, while also introducing a complex set of risks for organizations and society. These risks extend beyond technical performance to how data and AI systems are designed, deployed, and governed—and to concerns about agency, dignity, accountability, privacy, trust, and safety. Grounded in foundational ethical inquiries, the course equips students to analyze complex, ethically inflected AI decisions in the light of individual actions, organizational challenges, social and regulatory environments, and operational realities. Students examine the ethics of data creation, collection, storage, use, and transfer in a landscape increasingly dominated by AI-powered algorithms.