aspg-22-3331-1791483610 20261008182010 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of BIM and Engineering Science IJBES 2571-1075 2025 10 1 S. Sakena Benazer Assistant Professor, Computer Engineering department, Noble University, Junagadh, Gujarat, India Haritima Mishra Artificial Intelligence and Machine Learning, Sagar Institute of Research & Technology, Bhopal, India A. Babiyola Professor, Dept of ECE, Meenakshi Sundararajan Engineering College, Kodambakkam Chennai, India Curriculum design is a critical aspect of education, requiring careful consideration of content relevance, student progression, and pedagogical coherence. In recent years, the use of Knowledge Graphs (KG) has gained attention for their ability to represent complex relationships between concepts in a structured format. This paper introduces KGCD (Knowledge Graph-based Curriculum Design), a novel approach to intelligent curriculum design that leverages knowledge graphs to model subject matter interdependencies, skill progression, and student learning paths. By incorporating AI-driven insights, KGCD offers educators a powerful tool for designing adaptive, personalized curricula that align with student needs and educational goals. The system provides real-time suggestions for curriculum adjustments, ensuring the inclusion of relevant content and logical sequencing of topics. Initial pilot studies demonstrate KGCD’s potential to improve curriculum coherence and student learning outcomes by providing data-driven support for curriculum development and revision. 2025 01 05 3331 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJBES.100101 https://www.americaspg.com/journal/22/article/3331 https://www.americaspg.com/storage/articles/manuscripts/01KYX1SR6MEGGAYJXWFHZ6A8AG.pdf