Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jun;74(6):641-662.
doi: 10.1002/asi.24701. Epub 2022 Jul 30.

Data Science Curriculum in the iField

Yin Zhang  1 , Dan Wu  2 , Loni Hagen  3 , Il-Yeol Song  4 , Javed Mostafa  5 , Sam Oh  6 , Theresa Anderson  7 , Chirag Shah  8 , Bradley Wade Bishop  9 , Frank Hopfgartner  10 , Kai Eckert  11 , Lisa Federer  12 , Jeffrey S Saltz  13
Affiliations

Data Science Curriculum in the iField

Yin Zhang et al. J Assoc Inf Sci Technol. 2023 Jun.

Abstract

Many disciplines, including the broad Field of Information (iField), have been offering Data Science (DS) programs. There have been significant efforts exploring an individual discipline's identity and unique contributions to the broader DS education landscape. To advance DS education in the iField, the iSchool Data Science Curriculum Committee (iDSCC) was formed and charged with building and recommending a DS education framework for iSchools. This paper reports on the research process and findings of a series of studies to address important questions: What is the iField identity in the multidisciplinary DS education landscape? What is the status of DS education in iField schools? What knowledge and skills should be included in the core curriculum for iField DS education? What are the jobs available for DS graduates from the iField? What are the differences between graduate-level and undergraduate-level DS education? Answers to these questions will not only distinguish an iField approach to DS education but also define critical components of DS curriculum. The results will inform individual DS programs in the iField to develop curriculum to support undergraduate and graduate DS education in their local context.

PubMed Disclaimer

Figures

FIGURE 1
FIGURE 1
Data science courses clustering
FIGURE 2
FIGURE 2
Major topic clusters in current undergraduate DS course offerings
FIGURE 3
FIGURE 3
Comparison of job requirements clustering
See this image and copyright information in PMC

References

    1. ACM Data Science Task Force (2021). Computing competencies for undergraduate data science curricula. Association for Computing Machinery. https://www.acm.org/binaries/content/assets/education/curricula-recommen...
    1. Aerts M, Molenberghs G, & Thas O (2021). Graduate education in statistics and data science: The why, when, where, who, and what. Annual Review of Statistics and Its Application, 8, 25–39.
    1. Albright K, & Mehra B (2020). Information for a sustainable world: Addressing society’s grand challenges. Paper presented at Proceedings of the 83rd annual meeting, ASIS&T 2020.
    1. Anderson TD, & Parker N (2019). Keeping the human in the data scientist: Shaping human-centered data science education. Proceedings of the Association for Information Science and Technology, 56(1), 601–603.
    1. Bailer AJ, & Fisher NI (2020). Discussion of “A review of data science in business and industry and a future view”. Applied Stochastic Models in Business and Industry, 36(1), 20–22.

LinkOut - more resources