Digitalization, which has a significant impact on all spheres of life in modern economic society, dictates new requirements to higher education system for a level of training of specialists in the engineering and industrial sector. An urgent need to update existing training models leads to the search for effective educational technologies to develop digital competences in future graduates of technical universities that meet modern realities. One of these technologies is blended learning, which involves the joint use of online and offline learning formats. The article analyzes the concept of “blended learning” and outlines the significance of this educational technology from the point of view of an interdisciplinary approach to the implementation of modern information and mathematical training of future engineering and technical specialists. The importance of mutual integration of knowledge at the level of fundamental technical sciences, information and communication technologies (ICT) is substantiated by the example of the integration of disciplines of the information and mathematical cycle. At the same time, a special role of information and mathematical modeling is emphasized as a system-forming factor in the integration of knowledge in the disciplines under consideration. The aim of the work is to identify the methodological potential for using blended learning technologies in engineering education when implementing interdisciplinary integration in teaching disciplines of the information and mathematical cycle. The study used the general scientific dialectical method, theoretical and methodological analysis and generalization of the content of mathematical, informational, pedagogical, methodological, scientific and technical literature in the field of foreign and domestic engineering education. Using the example of building a machine learning model, one of the important stages of exploratory data analysis is illustrated – identifying outliers and their processing by means of a modern digital technology stack (Python programming language, Pandas and Seaborn libraries). The novelty of this research lies in the expansion of the scientific and methodological apparatus for enhancing student activity in order to develop relevant digital competences through the introduction of blended learning technologies in the educational process when implementing interdisciplinary integration in teaching information and mathematical disciplines. The theoretical significance of the study lies in the development of methodological recommendations for the use of blended learning tools in the implementation of information and mathematical training for students of engineering specialties at universities, the identification and justification of the main advantages of introducing blended learning technologies into the educational process of a technical university, as well as the designation of their role in improving the quality of education and training engineering personnel for the digital economy. The practical significance of the study lies in the fact that the proposed methodological techniques for introducing blended learning technologies can be used by the teaching staff of information and mathematics departments of technical universities in their scientific, methodological and practical work in the context of digital transformation of education.