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January 20, 2026Scientific Data0 citationsOpen Access

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

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DBDanielle BlackfordASAlessandro Selvitella

Key Points

  • The aim is to create a comprehensive dataset of data science programs in the Midwestern US before AI tools became widespread.
  • Compilation of metadata on data science programs from various institutions
  • Categorization by program names, types, degree levels, and institutional types
  • Use of a reproducible typology for systematic classification
  • A detailed overview of data science education in the Midwest prior to 2023
  • Enables analysis of regional educational trends
  • Supports benchmarking and policy decisions in workforce development

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.

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Cite This Study

Blackford et al. (2026) studied this question.

synapsesocial.com/papers/696f1a849e64f732b51eece0https://doi.org/10.1038/s41597-026-06553-4
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