Structured Data on AI & Data Science Degree Programs from 20 Universities Across Five U.S. States

This dataset is a normalized collection of information about Artificial Intelligence (AI) and Data Science (DS) programs offered by universities in the United States. It includes data from 21 universities across multiple states, covering both public and private institutions, collected from the Integrated Postsecondary Education Data System (IPEDS) 2023 data cycle.
The 21 universities were selected based on their explicit listing of a Data Science major in IPEDS. Some recently established programs were not captured as they had not yet been recorded in the 2023 cycle. Well-known institutions such as Harvard and MIT also do not appear, not because they lack data science programs, but because they classify them under different department names or CIP codes, placing them outside the direct Data Science major search criteria.
The dataset is organized into four main tables: University, Degree, Admission, and Graduation_Rate. The University table contains general information such as school name, location, and institution type. The Degree table covers program details including CIP description, credits, and credential level. The Admission table includes application and enrollment data, SAT score ranges, and in-state and out-of-state tuition. The Graduation_Rate table tracks student outcomes by cohort, including overall and gender-based graduation rates. One institution is an all-women school, so its male graduation rate is recorded as not applicable rather than missing.
The database is designed using normalization up to Third Normal Form to reduce redundancy and maintain consistency. Each table is linked through keys, making it easy to query and analyze. This dataset can be used to compare universities, explore trends in AI and Data Science education, and better understand differences in admissions, cost, and student outcomes across institutions.