Modern higher education is actively moving beyond national boundaries and therefore it faces a number of specific problems. One of these problems is an exchange student's adaptation to living in studying conditions of the new country. It is necessary to form an indicator system for adaptation process prognostic and risk reducing models and solve foreign student's adaptation assessment, prediction and management problems in the most effective way. This paper is devoted to the algorithms and software development for monitoring, assessing, forecasting and managing the foreign student's adaptation process (especially in the Russian universities) based on an integrated approach which coordinates a set of methods, including: multivariate statistical and the hierarchical analysis, fuzzy sets and data mining. A foreign student's adaptation abilities assessment criteria and hierarchical risk model's design are based on an integrated risk management approach. The fuzzy set method makes it possible to successfully assess the foreign student's adaptation level in Russian universities for different initial conditions and characteristic sets. Decision priorities were set using a data structure obtained with the hierarchy analysis method. Student's adaptation, development and disruption forecasting are possible as an application of a heterogeneous sequential procedure. An integrated approach to the foreign student's adaptation assessment, prediction and management was implemented to develop a decision support system for foreign student's adaptation process management based on a set of methods and decision rules for the exchange student's individual adaptive assessment and its breakdown prediction.