The increasing importance of mathematical and data science education in Japanese higher education has led to its integration into general education curricula. This study examines the design and implementation of a university-wide information literacy education course at Hokuriku University, focusing on the integration of data science and AI education. As part of the university’s general education curriculum, the compulsory first-year course aims to equip students with essential information literacy and data science skills. This study analyzes the fairness of evaluation among course instructors, considering the challenges of delivering uniform content to several students. These findings highlight the importance of regular communication and collaboration among instructors to ensure consistent grading practices. The innovative approach of the course to integrate data science and AI education into information literacy education serves as a model for other higher education institutions in Japan. By sharing the lessons learned from this experience, this study contributes to the development of best practices for designing and delivering university-wide general education courses that effectively prepare students for an increasingly data-driven world.