遇见数据集

Selected CS degree AI and ML requirements

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Zenodo2026-11-03 更新2026-11-05 收录
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Whether computer science degrees require a course in artificial intelligence (AI) or machine learning (ML), read from each university's published degree rules. The data cover 25 US degree tracks at 21 universities and 21 European programs, each at two points in time: 2021–22 and 2026–27. Files universities.csv: 92 rows, one per program per year, 30 columns: whether a course named for AI or ML was unavoidable, which AI or ML courses could count toward the degree, optional routes, credits, and the catalog or handbook behind each judgment, with source links, editions and page references. Column names use British spelling (for example programme_id). FIELD-GUIDE.md defines every column and status value. REPRODUCE.md and reproduce.py recompute the figures in Global Software Companies' article on CS degrees and AI. manifest.json records file hashes and counts. LICENSE.md gives the license terms. Method We read each program's published degree rules for 2021–22 and 2026–27, using archived catalogs for the earlier year. A course counts only if its title names AI or machine learning. A requirement counts as unavoidable only when every permitted path through the degree includes such a course. Every US 2026–27 row was checked against the university's live catalog on 12 October 2026. Where the sources don't settle a program's rules for a year, it is marked unresolved, never counted as "not required". Rules were classified with AI assistance under written rules; every positive credit value was re-derived independently from the saved sources. A Global Software Companies researcher checked about 1 in 5 of the AI classifications by hand and reviewed the edge cases those checks identified; this is a spot check, not a measured accuracy rate. Limits The programs were chosen deliberately, partly for document availability: they are case studies, not a sample of all degrees. AI taught inside courses with other titles isn't captured. Published rules don't show what was taught or what students learned. Source editions and entrant cohorts can differ from the reference years. Compare the US and European groups side by side, not as a ranking. Linked university documents keep their own rights and are not included. More: full documentation and the other GSC datasets are at https://www.globalsoftwarecompanies.com/research-data/#cs-degree-ai-requirements-dataset

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2026-11-03
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