• Dr Sanjay Agal
• Amarjit Seal

This study explores the impact of integrating data science pedagogy into undergraduate STEM education, addressing a notable gap in current curricula. Through a mixed-methods approach, it examines both the structural design of existing programs and the outcomes associated with incorporating data-driven instruction. Findings reveal that embedding data science into STEM courses significantly enhances student engagement, critical thinking, and analytical skills. The study highlights how hands-on, interdisciplinary modules improve learning retention and prepare students for careers in increasingly data-intensive industries. By aligning academic training with real-world demands, this research advocates for a shift in educational practices that equips students with the competencies necessary for success in modern professional environments. The integration model presented offers a scalable framework for curricular reform, emphasizing the need for a future-ready STEM education system.

Active learning, Curriculum development, Data literacy, Data science education, Educational innovation, Interdisciplinary education, Pedagogical methods, STEM education, Student engagement, Undergraduate curriculum

"Enhancing STEM Education through Integrated Data Science Pedagogy in Undergraduate Curricula", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.d125-d138, June-2025, Available :http://www.jetir.org/papers/JETIR2506318.pdf

"Enhancing STEM Education through Integrated Data Science Pedagogy in Undergraduate Curricula", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. ppd125-d138, June-2025, Available at : http://www.jetir.org/papers/JETIR2506318.pdf