Epidemiology,as a core course in public health and preventive medicine,is crucial for training high-quality public health professionals．With the rapid development of big data,artificial intelligence,and internet technologies,traditional single-mode teaching methods no longer meet the demands of modern education．The blended learning model,combining online and offline teaching,has gradually become a primary method in higher medical education．This model integrates the richness of online resources with the interactivity of offline classes,expanding instructional content and enhancing students' self-directed learning abilities．By leveraging big data analysis and artificial intelligence,personalized learning experiences and real-time feedback can be provided to optimize teaching effectiveness．However,this model still faces challenges such as inadequate resource integration and insufficient teacher-student interaction in practical application．This study uses a medical university as a case study to analyze the advantages and limitations of the blended learning model in epidemiology courses and proposes targeted improvement suggestions．The aim is to enhance the effectiveness of blended learning and provide new insights and references for future teaching reforms．