To improve the quality of tourism management classroom teaching and then improve the quality of undergraduate tourism management professionals, this paper analyzes tourism management classroom teaching evaluation based on big multimedia data. The mean and autocovariance matrix are determined by multivariate statistical analysis, and the effective learning behavior evaluation index and survey data are determined by entropy analysis, and then the evaluation index of tourism management classroom teaching quality is established to explore the improvement of teaching quality after big multimedia data is applied to tourism management classroom. According to the statistics related to the basic tourism education and training statistics of the China Tourism Administration, as of 2017, there were 608 general higher education institutions offering tourism management undergraduate majors with a total enrollment of 59,000; 1086 general higher education institutions offering tourism management higher education majors with a total enrollment of 113,000; 947 secondary vocational The total number of enrollment in 947 secondary vocational schools with tourism-related majors is 103,000, and the scale of tourism talent training has expanded, and the education problem of tourism management majors has gradually come to the fore. Therefore, it is timely and necessary to analyze the evaluation of tourism management classroom teaching based on big multimedia data, and to a certain extent, it can promote the improvement of the education level of tourism management majors in colleges and universities.