Information and analytical support for the strategic management of university admissions

The article reveals theoretical and applied aspects of information and analytical support of managing the university admission campaign in conditions of digital transformation. The study pays special attention to the possibilities of applying intelligent technology to make enrolment processes more manageable. The paper describes the model of admission probability prediction based on neural network algorithms, as well as its architectural and integration solutions and presents the limitations of the proposed approach. The article substantiates the relevance of using such tools to increase the transparency and efficiency of educational management. As a result, the study confirms the effectiveness of the model with high values of classification accuracy and ROC-AUC, which demonstrates its applied potential in real-life admission campaigns.