• Scientific and pedagogical direction - Master of Engineering Sciences

1. Apply mathematical methods, models and algorithms in the construction of intelligent control systems, design and use decision support systems in automated systems according to the principles of Industry 4.0.
2. Apply network channel security methods, monitor the system to detect vulnerabilities (in the network, in applications, in devices), and ensure the security of IoT systems.
3. Conduct an analytical analysis to predict the maintenance of IoT devices, design collective smart M2M device touch models and prototypes of virtual models.
4. Develop models of IoT systems according to customer requirements, expand the functionality of IoT systems and improve the performance of individual tasks in accordance with a new or supplemented technical task.
5. To develop hardware and software for IoT systems to stimulate innovation in the field of digitalization of the industry, to design and use inter-machine communication software for smart systems.
6. Apply software for processing, storage and transmission of cloud data, conduct research in the field of analysis and design of embedded IoT systems using cloud services.
7. Develop methods for processing and analyzing big data of corporate systems and applications to improve business processes; Create software tools for storing big data and extracting useful information from them.
8. Conduct scientific and pedagogical activity, introduce research results into practical pedagogical activity, lead a research group.
9. Independently conduct research, understand current research issues, analyze and critically relate to various sources of information, use them to structure and formulate reasoning.
10. Use methods and tools from various multidisciplinary fields, present research results in various forms in national scientific publications, at conferences tailored to the specifics of the audience, be tolerant, work effectively as a team in the search and solution of research problems.