A Tool to Map AI Programs in the U.S.: A Snapshot from April 2026 and an Analysis of Requirements for AI Majors and Minors

Research from arXiv presents an analysis of undergraduate Artificial Intelligence (AI) programs in the United States as of Spring 2026. A tool was developed to identify and map 361 AI programs across majors, minors, concentrations, and certificates at four-year universities. This tool surveyed 563 institutions, representing 87% of U.S. Computer Science graduates in 2025, providing a snapshot of the rapidly evolving AI education landscape. The analysis focuses on program requirements and aims to be a continuously updated resource.

Why it matters

The rapid proliferation and structuring of Artificial Intelligence education programs reflect a critical shift in workforce development and technological capability. Understanding the landscape of AI academic offerings is vital for national competitiveness, talent pipeline development, and aligning educational output with industry demand in a foundational technology.

Key insights

• A tool has been developed to detect, scrape, and display data from undergraduate AI programs.
• The tool identified 361 undergraduate AI programs (majors, minors, concentrations, certificates) in the U.S. by Spring 2026.
• The analysis surveyed 563 institutions, covering 87% of all undergraduate Computer Science graduates in the U.S. in 2025.
• The developed tool (cicmap.ai) is designed for continuous updates and provides accessible information for various stakeholders.
• The research provides a 'historic record' of AI program availability at a time of significant change.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2606.12428