With the rapid development of information technology and the explosive growth of data volume, big data has become an important resource in contemporary society. In the field of higher education, the application of big data provides unprecedented opportunities for analyzing the behavior of college students. This paper aims to explore how to use big data technology to conduct in-depth analysis of college student behavior, in order to support school management decisions and improve the quality and efficiency of educational services. By collecting, processing, and analyzing various data of students on campus, such as learning behavior, lifestyle habits, and social activities, this paper constructs a student behavior analysis model and proposes targeted management suggestions based on it.