The aim of the program is to train engineers in “Automation and Information Technologies” who possess the knowledge, skills, and competence enabling them to carry out managerial, design, implementation, operational, technological, research, and teaching activities in industry, oriented mainly toward the chemical, metallurgical, biotechnological industries, ecology, and environmental protection. The education in the “Automation and Information Technologies” major aims for bachelor’s graduates to obtain very strong training in the field of computer engineering and information technologies and their application both in automation and in all spheres of life. Graduates of this major acquire sufficient knowledge, skills, and competence to actively participate in the digitization processes of industry and society in Bulgaria and abroad, and to meet the challenges of the Fourth Industrial Revolution.

View the curriculum

The aim of the program is to train engineers who possess the knowledge, skills, and competence to carry out the digital transformation of industry and public life, by building a foundation for broader and deeper mastery of the methods, techniques, and tools of engineering informatics, related to solving the following three main tasks that must be addressed under the conditions of the Fourth Industrial Revolution: Vertical integration of flexible and reconfigurable information-management and production systems. Horizontal integration  of information through the development of value networks; End-to-end digital engineering across the entire value chain of added value;

View the curriculum

Master’s students receive in-depth theoretical training in the most up-to-date problems of control theory, technical and software tools, and the application of information technologies in the control of technological processes. They deepen their knowledge in applied mathematics and applied statistics and learn new programming languages for them: C++, Java, and Python. Specialized training includes the main sections of modern control such as optimal, adaptive, and robust control, control based on mathematical models, and intelligent control. Special attention is given to signal processing and pattern recognition. Modern information technologies are examined in a specific way in advanced disciplines such as Internet technologies for control, information modeling, and data management. Systems analysis is a key element in master’s training and includes mathematical modeling of processes and systems and the theory of large-scale systems, operations research, and decision-making. The latest technical and software solutions in control systems are presented in disciplines such as information and control systems, sensors, and project management.

View the curriculum

The main objective of the master’s program in Information Technologies is to develop knowledge, skills, and competencies in the field of research, design, development, implementation, re-engineering, and maintenance of computer-based information systems, software applications, and computer hardware. The program aims to create a foundation for broader and deeper mastery of the methods, techniques, and tools of information technologies, providing better opportunities for the future realization of graduates in the field of information and communication technologies.

View the curriculum

The curriculum and programs provide in-depth fundamental training combined with specialization in the field of quality management. They include basic training in informatics, statistics, and quality management. An approach based on the principles of total quality management has been adopted. After that, a number of technical aspects of quality management are taught at all stages of the product life cycle: design, production, sales, and use. The course in Statistical Quality Control is dedicated to methods for detecting and eliminating defects. Methods for re-engineering and improving quality indicators are covered in a course in Design of Experiments. The Reliability course addresses ensuring product reliability as well as methods for technical maintenance of production equipment. The Optimization course provides training in optimization and optimal decision-making. Issues of quality assurance at the product and process design stage are covered in the Quality by Design course. The International Quality Standards course examines the development and operation of modern quality management systems. The practical orientation is also supported through three course projects.

View the curriculum

The research is related to modern trends in implementing the digital transformation of industry and public life and includes the following актуални and contemporary thematic areas:
− Creation and study of modern methods for synthesis of automatic control systems;
− Synthesis of nonlinear controllers;
− Development and research in the field of modern control theory;
− Adaptive systems – synthesis of adaptation algorithms;
− Synthesis and research of robust automatic control systems;
− Development and research of intelligent methods in automatic control theory;
− Optimal control of discrete systems;
− Parametric models and methods for parameter estimation.

The research activity is related to modern trends in implementing the digital transformation of industry and public life and includes the following актуални and contemporary thematic areas:
− Development and analysis of fuzzy-logic-based methods for modeling and control of objects and systems;
− Genetic algorithms and genetic programming;
− Development and application of neural networks and models in identification and control tasks;
− Multi-agent systems;
− Intelligent production systems – holonic, biological, fractal;
− Development and analysis of formal methods for specification and verification in modeling and control tasks for production objects and systems – Petri nets, Generalized nets, finite, timed, and hybrid automata;
− Intelligent approaches in diagnostics tasks;
− Development and application of intelligent methods in decision-making and optimization tasks;
− Development and application of pattern recognition and machine learning methods;

The research is related to modern trends in implementing the digital transformation of industry and public life and includes the following актуални and contemporary thematic areas:
– Modern methods, methodologies, and systems for statistical evaluation and modeling;
– Modern methods for design of experiments;
– Methods, methodologies, and tools for quality management;
– Modern methods and systems for optimization;
– Intelligent methods and systems for optimization;
– Modern methods, methodologies, and systems for designing control systems – object-oriented, component-based, agent-oriented, or aspect-oriented;
– Optimal control of discrete systems;
– Methods and approaches for integrating computer-aided design systems with other information and control systems;
– Parametric models and methods for parameter estimation.

The research activity is related to modern trends in implementing the digital transformation of industry and public life and includes the following актуални and contemporary thematic areas:
– Distributed systems for information processing and management;
– Modern methods, methodologies, and tools for information modeling;
– Reference architectures and integrated information systems;
– Modern database systems – distributed, OLAP, OLTP, Data Warehouses;
– Standardization of data representation and exchange in various areas of the economy and public life;
– Modern methods and tools for web-based data exchange and communications;
– E-business;
– Intelligent information systems;
– Semantic web;
– Ontologies and ontological models and systems;
– Modern methods and methodologies for knowledge representation and design of Knowledge-Base Systems;
– Interactive environments and systems, human–machine interfaces;
– Information modeling and life-cycle management of products;
– Modern approaches in software engineering;
– Model-driven development;
– Cyber-physical systems;
– Operational management of production systems;
– Industrial Internet of Things.

The research is related to modern trends in implementing the digital transformation of industry and public life and includes the following актуални and contemporary thematic areas:
− Creation and study of modern methods for synthesis of automatic control systems;
− Distributed systems for automation and production management;
− Intelligent production management systems – holonic, biological, fractal;
− Multi-agent control of production systems;
− Modern methods and approaches to automation – component-based automation, object-oriented, agent-based;
− Supervisory control;
− Production operations management systems;
− Control of hybrid production systems;− Intelligent methods and tools for diagnostics in production systems;
− Modern control systems – optimal, robust, adaptive, predictive;
− Optimal control of discrete-event systems;
− Formal methods and approaches for specification and verification of control systems;
− Reconfigurable control of production systems