Abstract: The level of undergraduate education is one of the fundamental indicators of a country's scientific development. Consequently, research on education level assessment systems carries great significance. This article applies fuzzy clustering data analysis in evaluating education level, providing the primary data affecting level evaluation of undergraduate student education. Data were collected by on-site investigation, questionnaire reorganization, and other means, and were processed with fuzzy clustering analysis to screen 9 targets affecting the level evaluation of undergraduate education. These targets basically cover the effective information contained in the level of undergraduate education, and provide a diagnostical basis for further research.