Profile-based students assignment to core financial intelligence unit departments

Abstract

Different sectors of the economy have recently witnessed increased focus on innovative technologies in evaluating human capacity of an enterprise. The Principal Component Analysis exemplifies modern knowledge-based techniques used to assess quality of specialist training. The current challenge facing by the higher education institutions of the Russian Federation is preparing qualified and competitive in the global labor market personnel, through multi-disciplinary education. This paper addresses the issue of occupational guidance at the Institute of Financial and Economic Security of the NRNU MEPhI with regard to relevant divisions of the Federal Financial Monitoring Service, by means of mathematical models. The object of the research is the system of specialist training in the area of financial monitoring. The research subject comprises methods, algorithms identifying contribution of educational disciplines to profile-based preparation of students in the sphere of financial monitoring. The goal of this study is to improve the quality of education in the field of financial monitoring by developing methods and algorithms that determine theoretical and practical contribution of subjects to specialist training.