This undergraduate Artificial Intelligence curriculum template for dedicated AI academic programs/departments provides a coherent & modular pathway that conforms to contemporary higher education standards.

It is organized similarly to the ACM/IEEE-CS/AAAI “CS2023” curriculum on AI.

Five Knowledge Areas (Pre-Foundational CS, Advanced Mathematics & Cognitive Foundations, Core AI, Advanced & Specialized AI Electives, and AI Support & Professional Practice) map the material onto a flexible 120-credit U.S. bachelor’s or 240-ECTS Bologna degree, leaving ample space for additional general education courses, internships, etc.

The template is future-proofed through explicit coverage of 2025 trends in AI, which are now taught at Ivy League programs. Trustworthiness, ethics and governance are woven throughout, equipping graduates to design compliant, human-centered solutions from day one.

The modular hour bands support multiple delivery models, so that institutions of varying size can adopt, adapt and scale offerings without compromising academic depth or accreditation alignment.

This Artificial Intelligence curriculum can also serve as a basis for offering postgraduate AI programs at MSc, PhD or even at postdoc level as well as for conversion AI programs for personnel reskilling/upskilling.

You can access the AIDA AI BSc/MSc Curriculum here.

Improvements & Suggestions are welcome though our contact form.