In the evolving landscape of our data-driven society, integrating ethical considerations with practical problem-solving in data workflows is crucial in both academic and industry contexts. This session will share our ongoing curriculum enhancement project at Indiana University Indianapolis, which incorporates a data ethics and data justice framework into the pedagogical strategies and teaching practices of undergraduate Data Science (DS) and master's level Library and Information Science (MLIS) curricula. Utilizing the Data Science Ethos Lifecycle, our goals are to: 1) update Program Learning Outcomes (PLOs) for DS to emphasize the human and sociotechnical dimensions of data work; and 2) create sample assignments, to be piloted in Spring 2025, that synergize ethics with technical content. We will present our updated PLOs and sample assignments for courses such as Data Policy and Governance, Social Media Data, and Public Library Management, and discuss: 1) using Data Science Ethos Lifecycle to develop a data science education curriculum that integrates ethical considerations with technical skills, transitioning from traditional compliance-focused education to a practical, problem-solving approach; 2) encouraging and assisting instructors from diverse backgrounds to incorporate a focus on critical thinking and ethical reasoning into their courses and assignments; and 3) enhancing career opportunities for students, particularly those from underrepresented groups and those with lower tech literacy, by offering enriched learning experiences. This session will highlight the role of human-centric education in preparing future data professionals who are not only skilled in technical aspects but also adept at addressing ethical challenges in the field.