In the master 's thesis, functional areas and regions of higher education are analysed. The analysis was performed using data on student flows between municipalities of permanent residence and municipalities of higher education in the academic year 2019/2020. Functional areas were modeled according to the OECD approach adapted in this task, and functional regions according to two established methods, the CURDS and Intramax method. The modeling results were compared by and between selected hierarchical spatial levels. We highlighted the typical composition of functional regions in higher education at the macro and meso levels of Slovenia, which we compared with the functional regions of job mobility in Slovenia. The results of the study will contribute to a better understanding of functional areas and functional regions in Slovenia.
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