Data science academic programs in the pre-ChatGPT erain the Midwestern United States: a curated dataset.

Journal: Scientific data
Published Date:

Abstract

This dataset documents and classifies academic programs in data science offered by higher education institutions in the Midwestern United States prior to widespread adoption of generative artificial intelligence tools (up to 2023). Detailed program-level metadata, including program names and types, institutional types, degree levels, and state-by-state information are systematically compiled using a reproducible typology. The resource enables investigation of regional trends, curriculum benchmarking, and comparative analysis of data science education in the pre-generative-AI era. By providing a standardized and transparent overview of academic offerings, the dataset supports research, educational planning, and policy decisions related to workforce development and the evolving landscape of data science education.

Authors

  • Danielle Blackford
    Department of Mathematical Sciences & Laboratory of Data Science, Purdue University Fort Wayne, Fort Wayne, US.
  • Alessandro Maria Selvitella
    Department of Mathematical Sciences & Laboratory of Data Science, Purdue University Fort Wayne, Fort Wayne, US. [email protected].

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