Creating an Undergraduate Data Science Program in a Disciplinary and Institutional Context in an iSchool

ABSTRACT Data science (DS) programs have grown to address the workforce demand in an increasingly data‐driven society. Given that DS is highly interdisciplinary and individual institutions have various academic structures, creating a new DS program needs to consider many factors. This poster details...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Proceedings of the ASIST Annual Meeting 2022, Vol.59 (1), p.848-849
Hauptverfasser: Zhang, Yin, Zeng, Marcia Lei
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:ABSTRACT Data science (DS) programs have grown to address the workforce demand in an increasingly data‐driven society. Given that DS is highly interdisciplinary and individual institutions have various academic structures, creating a new DS program needs to consider many factors. This poster details the process of how to create an undergraduate DS minor program with considerations of the following key questions: (1) What is the general background of DS education landscape and iSchools? (2) What is the institutional context of DS education, i.e., what are gaps in the institutional DS education? How does the proposed program fit in and distinguish itself from other DS programs on campus? (3) How to navigate the DS approval process with multiple DS programs on campus? This work will help those who plan to create and revise a DS program that benefits students and fits in the broad DS education landscape and their own institution.
ISSN:2373-9231
2373-9231
1550-8390
DOI:10.1002/pra2.747