Who this course is for

• University lecturers and academic staff interested in the impact of AI on teaching, learning, and research.
• University administrators and education leaders responsible for curriculum development, institutional strategy, and digital transformation.
• Researchers and postgraduate students exploring AI-enabled research methods and emerging research disciplines.
• Undergraduate and prospective university students seeking to understand the skills required for an AI-driven employment market.
• Curriculum developers and academic programme coordinators considering how existing programmes should evolve.
• ICT, data science, and AI professionals interested in the future relationship between AI and higher education.
• Education policymakers and government stakeholders concerned with Nigeria's higher-education competitiveness and workforce development.
• Industry and employers interested in the skills they will increasingly expect from Nigerian university graduates.

Related CCMAS Courses

This seminar is relevant to the following courses in the NUC Core Curriculum Minimum Academic Standards (CCMAS).

• CSC 810 Artificial Intelligence Sciences · M.Sc. Computer Science

Seminar Class Schedule

22nd October 2026 to 22nd October 2026

Sat - 12:00 PM WAT

All times are in West African Time (WAT, UTC+1).

Description

This introductory level provides participants with a foundational understanding of Artificial Intelligence (AI) and its growing impact on universities and higher education. It introduces key AI concepts, current applications of AI in teaching, learning, research, assessment, and university administration, and the changing skills that graduates will need in an AI-driven economy.

The course also examines the opportunities and challenges of AI in Nigerian higher education, including academic integrity, bias, misinformation, privacy, over-reliance on AI, and the changing role of lecturers and students. Participants will begin to consider how universities can move beyond simply adopting AI tools towards rethinking what they teach, how they teach it, and the competencies graduates need to remain relevant in the future of work.