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Data Science Curriculum in the iField.

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Summary
This summary is machine-generated.

This study defines the unique identity of Data Science (DS) within the Field of Information (iField) and proposes a core curriculum framework. It addresses DS education status, job opportunities, and differentiates graduate from undergraduate programs for iSchools.

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Area of Science:

  • Information Science
  • Data Science Education

Background:

  • The Field of Information (iField) offers Data Science (DS) programs, necessitating a defined disciplinary identity.
  • Efforts are underway to explore unique contributions of various disciplines to DS education.
  • The iSchool Data Science Curriculum Committee (iDSCC) was formed to develop a DS education framework for iSchools.

Purpose of the Study:

  • To establish the iField's identity within the multidisciplinary DS education landscape.
  • To assess the current state of DS education in iField schools.
  • To define core knowledge and skills for iField DS curriculum.
  • To identify job opportunities for iField DS graduates.
  • To differentiate between graduate and undergraduate DS education.

Main Methods:

  • A series of studies were conducted to address key questions regarding iField DS education.
  • Research focused on identifying the iField's unique approach to Data Science.
  • Analysis included curriculum components, job market trends, and educational levels.

Main Results:

  • The research identified the distinct characteristics of an iField approach to Data Science education.
  • Key knowledge and skills for a core DS curriculum were defined.
  • Differences between undergraduate and graduate DS programs were elucidated.
  • Job roles for iField DS graduates were outlined.

Conclusions:

  • The findings provide a framework to distinguish iField DS education.
  • The results will guide iSchools in developing and refining their DS curricula.
  • This work supports the advancement of both undergraduate and graduate DS education within the iField context.