the university’s own ranking system can be created considering the strategic goals of the university as the main ones. In this system, simultaneous use of the entire set of rankings, including the old ones, creates a multidimensional dynamic instrument for assessing the current and predictive status of the university in the world according to its goals and values. And now, based on the ranking approach, a system has been developed in which data is not damaged after a while, but creates a timeline that helps discover interactions not visible for a moment.
Using the method, without doing additional research, but only by carefully analyzing the information already available, one can develop own rankings and own criteria for dividing universities into groups, for example, according to the level of GDP or according to level of happiness.
One of the most popular phrases in recent years has become “Big data”, “data mining”. These technologies are widely used in distance education, forming the optimal learning path. But can they help students who prefer full-time education, and full-time universities themselves in shaping their development trajectories? The location of the university is much more important to the full-time studies rather than for part-time and distance learning. The development of the university as a whole or individual areas of training takes place in the conditions of its surrounding city, country and related restrictions and directions of the university development.