Data · dataset · 2026
AI and Data Science Academic Programs in U.S. Universities (Normalized Relational Dataset)
Listed in Teesside University Research Data Repository
This dataset contains organized information about universities in the United States that offer programs in Artificial Intelligence and Data Science.
Description
I created it as part of my DATA 6200 Data Management course to support database design, analysis, and research on academic programs in these fields. All of the information in the dataset comes from publicly available sources.
These include NCES College Navigator (nces.ed.gov/collegenavigator/ (nces.ed.gov in Bing)), U.S. News Best Colleges (usnews.com/best-colleges (usnews.com in Bing)), DataScienceGraduatePrograms.com (datasciencegraduateprograms.com/), individual university program pages, GradSchools.com (gradschools.com/), NCES IPEDS (nces.ed.gov/ipeds/), and university faculty directories.
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These sources provide reliable details about universities, degree programs, admissions requirements, and yearly institutional statistics. The dataset is structured into five tables: University, DegreeProgram, AdmissionRequirements, YearlyUniversityStats, and Faculty. Each table represents a different part of the overall topic.
The University table includes basic institutional information such as state, type, enrollment, and website. The DegreeProgram table lists program names, degree levels, tuition, and duration. AdmissionRequirements includes minimum GPA, test requirements, deadlines, and notes.
YearlyUniversityStats contains time‑based data such as tuition, enrollment, and national rankings for multiple years. The Faculty table includes faculty names, departments, research areas, and email addresses. The goal of this dataset is to provide a clean, normalized structure that can be used for academic analysis, database modeling, or research on trends in AI and Data Science education.
Because the data is organized in Third Normal Form, it can be easily imported into a relational database and used for queries, visualizations, or further study. This dataset is intended for educational and research purposes.
Links
Where it is published
- DOI doi.org/10.17632/rfsm8gmg7x.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Higher education · Social Science
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/rfsm8gmg7x.1 | 15 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:390303 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Higher Education'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |