Innovative Curriculum Design in Library and Information Science Using Data Analysis and Generative AI:

A Strategic Plan to Foster Entrepreneurial Aspirations

Abstract

This research examines the transformation of Library and Information Science (LIS) education through the integration of data analysis, generative artificial intelligence (AI), and entrepreneurship to equip students with future-ready skills. With the rise of big data, AI tools, and digital innovation, the traditional LIS curriculum requires a strategic overhaul to remain relevant in the knowledge economy. The study investigates the potential roles of data analytics and generative AI in LIS teaching and learning, evaluates the entrepreneurial readiness of LIS students and faculty, and proposes a curriculum model aligned with India's National Education Policy (NEP) 2020. Through a mixed-methods approach combining literature reviews, industry data, and curriculum design frameworks, the study highlights the critical need for interdisciplinary, hands-on, and innovation-oriented education. The proposed curriculum includes modules on AI tools (e.g., ChatGPT, Power BI, and Tableau), entrepreneurship development, capstone projects, and collaboration with industry incubators. Expected outcomes include enhanced digital and entrepreneurial competencies, improved job readiness, and increased student-led innovation. This research provides a roadmap for modernizing LIS programs to prepare graduates for leadership in a data-driven, AI-powered information ecosystem.