International Journal of BIM and Engineering Science IJBES 2571-1075 10.54216/IJBES https://www.americaspg.com/journals/show/3331 2021 2021 Assistant Professor, Computer Engineering department, Noble University, Junagadh, Gujarat, India S. S. Artificial Intelligence and Machine Learning, Sagar Institute of Research & Technology, Bhopal, India Haritima Mishra Professor, Dept of ECE, Meenakshi Sundararajan Engineering College, Kodambakkam Chennai, India A. Babiyola 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 2025 01 06 10.54216/IJBES.100101 https://www.americaspg.com/articleinfo/22/show/3331