Take a look at a few of the courses that integrate AI into the curriculum:

Business Data Intelligence and Visualization

The course focuses on designing effective charts and dashboards, interpreting patterns, and communicating findings through visual storytelling, enhanced by AI-powered analytics tools. Students learn core principles of visual design, evaluate data integrity, and leverage modern including AI-enabled tools to generate and present insights tailored to business audiences, while avoiding misleading, biased, or unethical practices.

Financial Modeling

This course prepares students for analyst roles by developing advanced financial modeling and valuation skills. It integrates AI into workflows through structured prompt engineering, automated data pipelines, and disciplined human oversight. Emphasizing a manual first, AI second approach, students critically evaluate AI-generated outputs and apply industry-aligned practices to build accurate, transparent, and well-supported financial models.

Economics of AI

This course provides students with an economic framework for understanding AI, focusing on how AI shifts cost structures, labor productivity, market competition, consumer behavior, and regulatory environments. The course places emphasis on economic analytical frameworks and real-world applications, including antitrust debates, data governance, and strategic deployment of AI in businesses.

Below are a few courses that highlight the integration of AI in business education:

Business Intelligence and AI

Examines how AI and data analytics shape managerial decision‑making and organizational strategy. Covers business intelligence for collecting, analyzing, and visualizing data to produce actionable insights. Introduces core AI concepts machine learning, natural language processing, and generative AI and their applications across business functions. Students work with modern analytics tools, dashboards, and cloud-based AI platforms to support data-driven practices. Emphasizes interpreting analytics for business impact and understanding the ethical and governance considerations of responsible AI use.

Enterprise IT Management

The course focuses on critical issues for aligning information technology and Al capabilities with the enterprise. the course puts emphasis on the role of company mission and objectives in shaping decisions related to project approval, implementation, and the adoption of emerging technologies. Topics include traditional project management and Agile methodologies (with emphasis on Scrum and Kanban); and Al-enabled process management; technology agility; enterprise systems and Al integration; legal and ethical considerations, including responsible Al; and contemporary issues.

Discover some of the courses that bring AI and accounting into real-world business contexts:

Advanced Accounting and Analytics

The course introduces students to the use of AI tools required to automate data management, report construction and visualization tasks. Students learn how to use these tools to free up analyst time for generating interpretive content, insights and actionable recommendations.

Seminar on Financial Accounting

This course examines the conceptual framework underlying financial reporting and evaluates accounting practices through research and real-world application. Students use AI to gather and synthesize insights from academic and professional sources, compare them with current practices, and critically assess financial reporting. The course also develops skills in analyzing regulatory proposals and writing informed comment letters.