The fundamental training in the specialty "Intelligent Systems and Artificial Intelligence" is conducted during the first four semesters and is built on a broad spectrum of theoretical and practical knowledge in mathematical and matrix analysis, discrete structures, physics/chemistry, object-oriented programming, mathematical modeling and differential equations, engineering graphics, materials science, applied informatics, synthesis and analysis of algorithms, mechanical systems, statistical methods and data analysis, database management systems, internet technologies in industrial environments, numerical methods, industrial technologies, electronics and sensorics. The acquired knowledge aims to achieve engineering and technological knowledge, interpretation and application of concepts, principles and technologies in the field of intelligent systems and artificial intelligence.

The specialized training includes the study of mandatory disciplines related to the innovative technologies of intelligent systems and the engineering applications of artificial intelligence. In this direction, during the training process, students will acquire knowledge and skills in the fields of artificial intelligence and intelligent systems, knowledge representation and modeling, fundamentals of robotics, operations research and variational methods, expert systems, ontologies and semantic networks, fuzzy sets and applications, neural networks and deep learning, machine learning and artificial intelligence, product lifecycle management, image recognition, knowledge extraction from data.

The specialized training provides for elective academic disciplines from the fields of: big data volumes and data analysis, blockchain technologies, knowledge bases, information systems design, engineering analyses, product data management and operational planning (PDM and ERP systems), computer networks and industrial communications, industrial robotic systems and technologies, additive technologies (3D printing), augmented and mixed reality, Internet of Things in industry, industrial big data technologies, cloud technologies, security of industrial information systems, 3D technologies and virtual reality, as well as managerial disciplines project management, intellectual property and technological entrepreneurship.

Graduates can successfully work in:

• research, design, and engineering firms and organizations involved in the development of complex technical, economic, and organizational systems for managing automated information technologies;
• management and executive departments in industry, energy, transport, construction, agriculture, and the non-production sector;
• enterprises and companies focused on the creation, production, and operation of IT tools, engineering, programmable machines, mechanisms, and robotic systems;
• they can work as managers and specialists in the field of informatics, information and software technologies across all industries of the industry.

Graduates of the specialty can also successfully work in non-production sectors (transport, logistics, medicine, environmental protection, building automation, construction, etc.). They can participate in engineering, research, and scientific departments, serve as experts, teachers, and hold managerial and leadership positions.