The article presents and describes innovative technologies of training in the professional training of Masters. For high-quality training of students of technical specialties, it becomes necessary to rethink the purpose, results of studying and means of teaching professional disciplines in modern educational conditions. The experience of implementing the chatbot tool in teaching the discipline “Mathematical modeling of socio-economic systems” in the educational and professional program 124 System Analysis is described. The characteristics of the generalized structure of the chatbot information system for investment analysis are presented and given: input information, information processing system, output information, which creates a closed cycle (system) of direct and feedback interaction. The information processing system is represented by accounting and analytical data management blocks. The investment analysis chatbot will help masters of the specialty system analysis to manage the investment process efficiently based on making the right decisions, understanding investment analysis in the extensive structure of financial management and optimizing risks in these systems using a working mobile application. Also, the chatbot will allow you to systematically assess the disadvantages and advantages of investment projects or the direction of activity of a system analyst, while increasing interest in performing practical tasks. A set of software for developing a chatbot integrated into training is installed: Kotlin programming, a library for network interaction Retrofit, receiving and transmitting data, linking processes using the HTTP API. Based on the results of the study, it is noted that the impact of integrating a chatbot into the training of Masters ensures the development of their professional activities, which gives them the opportunity to be competent specialists and contributes to the organization of high-quality training.

The study substantiates the urgent need to train qualified specialists capable of responding to cyber incidents and countering cyber threats in a short time, conducting state audits and creating effective management systems for information security and cybersecurity. The aim of the work is to reveal the ways and features of the organization of the study of mathematical disciplines in order to effectively train higher education students majoring in 125 «Cybersecurity». The role of the mathematical component of cybersecurity and the organization of the educational process of mathematical disciplines for the purpose of effective professional training of future cybersecurity specialists is considered. It is concluded that most professionally-oriented disciplines that provide basic knowledge in all aspects of information security are based on fundamental mathematical training. The study argues that the applied problems solved by the students of the specialty 125 «Cybersecurity» must meet the methodological requirements for real practical content, which provides an illustration of the practical value and significance of the acquired mathematical knowledge in the cyber- and/or information security field. The solution to the problem of improving the quality of mathematical training of the students is considered through the use of intra-subject and interdisciplinary links, the introduction of applied orientation of mathematical disciplines and the principle of continuity. The paper presents examples of professionally oriented tasks that are offered to higher education students majoring in 125 «Cybersecurity» studying mathematical disciplines. It is proved that the introduction of applied orientation of mathematical disciplines creates the necessary conditions and attracts students to the professional sphere, which is an important step towards improving the quality of training of cybersecurity professionals.

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