Introduction. The announced plans of the Ministry of Education to develop a new education strategy by the autumn of 2024 make the problem of forecasting the development of the training system of qualified workers and technicians relevant.
The aim of this article is to develop a methodology for forecasting the level of readiness of the secondary vocational education system to solve the problem of the qualified personnell provision for the economy.
Methods. The authors used methods of comparative and general analysis of scientific data on approaches to forecasting and its practices in Russia and abroad, data extrapolation, modeling, theoretical and cluster analysis, synthesis and conceptualisation.
Results. A strategy for forecasting the development of a system for training qualified workers and technicians is presented, including the types of data and parameters used for forecasting, its stages, and methods of working with data.
The scientific novelty lies in the substantiation of ways to use big data analytics tools (predictive analytics) to manage the development of the vocational education system.
The practical significance lies in the proposed set of forecasting tools and algorithms for its use to manage the development of the secondary vocational education system. Among them: predictive analytics tools, data requirements used in the predictive analytics system, forecasting stages and conditions for the effectiveness of its results.