Data Science is a transformative field that has come to profoundly impact every aspect of society. As such, providing widespread data science education is essential for cultivating a skilled and engaged workforce while ensuring national competitiveness in this rapidly growing domain. Currently much of the focus in undergraduate education has been on creating courses and programs for majors and minors, yet this approach leaves a significant gap: students outside data science programs often lack opportunities to develop essential data skills and fail to recognize valuable and innovative connections to data science. However, data literacy is critical for college students across all disciplines, enabling them to thrive in both their personal and professional lives. Therefore, connecting data science to diverse fields and real-world challenges while fostering collaborations with domain experts and community partners will inspire, prepare, and engage students with a data-driven world. The CROSSROADS (Creating Robust Opportunities for Student Success through Real-world, Organized, and Applied Data Science) program is designed to create flexible pathways into, through, and beyond data science education for a broad spectrum of students while promoting engagement with real-world applications. This project aims to establish an interdisciplinary education ecosystem through three key components: (a) Domain Exploration Modules that integrate data science into diverse disciplines to enha