  This research investigates the curriculum structures of undergraduate
Artificial Intelligence (AI) education across universities worldwide. By
examining the curricula of leading universities, the research seeks to
contribute to a deeper understanding of AI education on a global scale,
facilitating the alignment of educational practices with the evolving needs of
the AI landscape. This research delves into the diverse course structures of
leading universities, exploring contemporary trends and priorities to reveal
the nuanced approaches in AI education. It also investigates the core AI topics
and learning contents frequently taught, comparing them with the CS2023
curriculum guidance to identify convergence and divergence. Additionally, it
examines how universities across different countries approach AI education,
analyzing educational objectives, priorities, potential careers, and
methodologies to understand the global landscape and implications of AI
pedagogy.
