In today’s globalized and information society, education level plays a vital role in the development of individuals and society. As the primary stage of higher education, tertiary education not only provides students with professional knowledge and skills, but also shapes their way of thinking and values. However, the distribution and influencing factors of educational attainment are complex and require intensive research to better understand their intrinsic patterns and laws. The K-mode algorithm, as a clustering method for non-numerical data, provides an effective tool for exploring this complexity. This study aims to reveal the model of college education level through the K model algorithm, in order to provide a scientific basis for educational policy making, educational resource allocation and individual education planning. DISA simulation shows that under certain evaluation criteria, the K-modes algorithm has a good impact on college education The application accuracy and application time of informatization are better than those of data mining algorithms.