 The paper proposes a method for assessing the quality of educational programs and educational activities using an adaptive neurofuzzy inference system, ANFIS, and artificial neural networks. This method uses survey data from students and graduates to train the ANFIS model, which then provides accurate forecasts of accreditation examinations. This article was authored by Andrei V. Riabko, Aksana V. Zeica, Roman P. Kukarchuk and others.