The article discusses and analyzes the processes of academic mobility, shows the features of each type of mobility and identifies data sources. The main problems that arise during the formation of the educational route are identified. These problems are associated with the processing of large amounts of information. The necessity of automation the information support of academic mobility to ensure the effective implementation of an individual educational route is justified based on statistical data. A review of the current state of the problem showed that in the field of educational route management and academic mobility, the issues of using information support are not sufficiently disclosed. The authors show the educational route planning process within the framework of academic mobility as the most time-consuming, requiring the involvement of experts to make decisions. The organization of informational support is represented by developing knowledge representation models (decision trees) based on the application of production inference rules to analyze possible solutions when forming an educational route. The “Decision Tree” is based on the results of the analysis of decision-making procedures in the educational process within the framework of each type of academic mobility. The developed rules allow to implement in the knowledge base the experience and knowledge of experts in making decisions related to academic mobility. The system developed by the authors is introduced into the educational process and is used by the dean’s staff.