SIE 4: Undergraduate Data Science Education in iSchools: Current Practices and Future Directions
Undergraduate Data Science Education in iSchools: Current Practices and Future Directions
Since Song and Zhu (2016) concluded that undergraduate data science programs are “at the beginning step” in 2016 (Song & Zhu, 2016), many iSchools have initiated diverse data science programs to meet the shortage of data scientists. Educators of iSchools may have questions regarding how to define, and cultivate data science programs in iSchools, which originally have grown from the combination of computer science, statistics, and mathematics disciplines. Participants from institutions with undergraduate data science programs will present undergraduate data science recruitment processes,
curriculums, barriers, and best practices through panel presentations. The session then has active discussion sessions with the audience. The session will conclude by initiating the development of a common repository of undergraduate data science curricula (syllabi, assessments, etc.), articulating a framework from which to build a successful undergraduate data science education model, and building consensus on possible future actions and venues for maintaining a network of undergraduate data science educators.