The Supply Chain Data Analytics course within a Bachelor's Degree in Business Analytics offers a comprehensive exploration of the data-driven methodologies and tools essential for optimizing supply chain operations. Through this course, students learn about the integration of technology, data analysis, and logistics to enhance efficiency and decision-making within supply chains. Covering topics such as predictive modeling, data visualization, demand forecasting, and inventory optimization, the course equips students with the skills to analyze complex supply chain data, derive meaningful insights, and implement solutions for improved performance, cost reduction, and risk management within modern global supply networks. Students gain hands-on experience with industry-relevant software and case studies, fostering an understanding of how analytics can be applied to solve real-world supply chain challenges.