Sarıgül, HaşmetSengelen, Hakan Eren2025-03-262025-03-2620220883-23231940-335610.1080/08832323.2021.19038292-s2.0-85106295042https://doi.org/10.1080/08832323.2021.1903829https://hdl.handle.net/20.500.14704/978In this study, the curricula of undergraduate business schools in Turkey have been examined in terms of course groups, total course numbers and total workload of students. On the examination of the dendogram which is created by using Ward's Hierarchical Agglomerative Clustering Method, it is seen that five clusters emerged at a distance of five units in which all business schools (n = 147) have been linked to a cluster. MANOVA-Pillai's Trace test results reveal that there are significant differences between the clusters in terms of the curricula of course groups. Finally, by applying Post hoc tests, significant differences between the clusters have been analyzed in terms of total course numbers and the student's workload for each course group.eninfo:eu-repo/semantics/closedAccessBusiness schools; curriculum; data mining; higher education; MANOVAArticle1603Q215097WOS:000652404100001N/A