This article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should
become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such
aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies
are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and mathematical
modeling, it is necessary to use digital technologies in two directions: for the organization of electronic educational space and in the process of solving
applied problems at the junction of the branches of economics and mathematics.
The advantages of using e-learning courses in the educational process are presented (such as providing individualization of the educational process in
accordance with the needs, characteristics and capabilities of students;
improving the quality and efficiency of the educational process; ensuring
systematic monitoring of the educational quality). The unified structures of
“Econometrics”, “Economic and mathematical modeling” based on the Moodle
platform are the following ones. The article presentsthe results of the pedagogical
experiment on the attitude of students to the use of e-learning course (ELC) in
the educational process of Borys Grinchenko Kyiv University and Alfred
Nobel University (Dnipro city). We found that the following metrics need
improvement: availability of time-appropriate mathematical materials; individual
approach in training; students’ self-expression and the development of their
creativity in the e-learning process. The following opportunities are brought to
light the possibilities of digital technologies for the construction and research
of econometric models (based on the problem of dependence of the level of the
Ukrainian population employment). Various stages of building and testing of the
econometric model are characterized: identification of variables, specification
of the model, parameterization and verification of the statistical significance of
the obtained results
