2026 ASEE Annual Conference & Exposition

Despite the increasing importance of data science and AI in education, there is currently no comprehensive, publicly available information on where and how these subjects are taught across Kansas. The availability of such data is crucial for enabling educators, policymakers, and community leaders to make informed decisions when planning new programs or initiatives.

The Kansas Data Science Education Atlas project addresses this critical gap by systematically mapping educational opportunities in data science and AI at the K–12, community college, and university levels. By integrating NCES school data, IPUMS NHGIS population statistics, and manually collected course offerings from university websites, we constructed new datasets and applied data science techniques to analyze geographic and institutional patterns across the state.
Our findings reveal significant disparities, with data science and AI programs concentrated in urban counties like Johnson and Sedgwick, while many rural regions continue to have limited access