Artificial Intelligence
Faculty |
of mathematics and informatics |
Specialty |
6-05-0611-03 Artificial Intelligence |
Qualification |
Systems Engineer |
Academic degree |
Bachelor |
Duration of study |
Full-time – 4 years |
Language of study |
Russian |
Main subjects studied |
Machine Learning and Neural Networks; Problem Solving Models in Intelligent Systems; Methodology and Tools for Data Analysis; Data Mining; Fundamentals of Cybersecurity; Applied Cryptography, Blockchain, Cryptocurrency; Fundamentals of Electronics, Robotics and Automation; Quantum Systems and Technologies; VR and AR Technologies; Speech Technologies and Voice Biometrics; Computer vision technologies; Computer Systems and Networks; Internet of Things (IoT) technologies; Drone programming; Robotics on the Arduino platform; Natural language interface of intelligent systems |
Main competencies that the graduate will have |
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Area of future professional occupation |
o software engineer, o programmer, o system engineer, • network administrator. |
Entrance tests |
Interview to determine the level of proficiency in the language of instruction |
Software engineering
Faculty |
of mathematics and informatics |
Specialty |
6-05-0612-01Software engineering |
Qualification |
Software Engineer |
Academic degree |
Bachelor |
Duration of study |
Full-time – 4 years |
Language of study |
Russian/English |
Main subjects studied |
Fundamentals of Algorithmization and Programming, Fundamentals of Software Engineering, Algorithms and Data Structures, Software Design, Object-oriented Programming Technologies and Design Standards, Computer Systems and Networks, System Programming, Databases, Development of platform-independent applications, Development of Web applications, Development of mobile Android applications, Development of mobile iOS applications, Distributed and Cloud Technologies, Computer Graphics Basics, Introduction to Game Programming, IT Project Management, Fundamentals of computer security, Software testing, Machine learning and neural network technologies. |
Main competencies that the graduate will have |
Programs at a professional level, taking into account the resources and capabilities of computing devices, the requirements of software engineering standards. Develops application, system, network software, web and mobile applications using modern platforms, programming languages and technologies. Performs database design and maintenance. Master methods of data collection, storage, processing and analysis. Performs functional and automated testing of software products. Configures and administers computer systems and networks. Uses cloud platforms to solve research and applied business tasks. Knows the basics of game design and game application design. |
Area of future professional occupation |
Service and product IT-companies specializing in the development, maintenance and operation of software; IT departments of enterprises and organizations. Graduates can work in the following positions: software engineer (specializing as frontend developer, backend developer, full-stack developer, game application developer, mobile application developer, DevOps engineer), software testing specialist; Data Analyst, SEO specialist, UX/UI designer (user interface design specialist), system administrator, network administrator. |
Entrance tests |
Interview to determine the level of proficiency in the language of instruction |
Architecture
Faculty |
of engineering and construction |
Specialty |
7-07-0731-01 Architecture |
Qualification |
Architect |
Academic degree |
Master |
Duration of study |
Full-time – 6 years |
Language of study |
Russian |
Main subjects studied |
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Main competencies that the graduate will have |
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Area of future professional occupation |
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Entrance tests |
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Additional information |
Contacts of the Faculty of Engineering and Construction:
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Technical Building Equipment and Supply Engineering
Faculty |
of engineering and construction |
Specialty |
7-07-0732-02 Technical Building Equipment and Supply Engineering |
Qualification |
Civil engineer |
Academic degree |
Master |
Profilization |
«Heat and gas supply, ventilation and air basinprotection |
Duration of study |
Full-time – 5years |
Language of study |
Russian |
Main subjects studied |
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Main competencies that the graduate will have |
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Area of future professional occupation |
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Entrance tests |
INTERVIEW to determine the level of proficiency in the language of instruction (Russian) |
Additional information |
Contacts of the Faculty of Engineering and Construction:
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Building and Construction
Faculty |
of engineering and construction |
Specialty |
7-07-0732-01 Building and Construction |
Qualification |
Civil engineer |
Academic degree |
Master |
Profilization |
«Industrial and civil construction» |
Duration of study |
Full-time – 5years |
Language of study |
Russian |
Main subjects studied |
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Main competencies that the graduate will have |
Apply modern methods, equipment and technologies for the construction of buildings and structures |
Area of future professional occupation |
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Entrance tests |
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Additional information |
Contacts of the Faculty of Engineering and Construction:
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Mechanical engineering technology, metalcutting machines and tools
Faculty |
of innovative engineering |
Specialty |
6-05-0714-02 Mechanical engineering technology, metalcutting machines and tools |
Qualification |
Mechanical engineer |
Academic degree |
Bachelor |
Profilization |
Technological support of machine-building production |
Duration of study |
Full-time – 4 years |
Language of study |
English, Russian |
Main subjects studied |
Mechanics of materials, materials science, machine parts, engineering graphics, technology of structural materials, cutting theory, metal cutting machines and tools electrical engineering and electronics. |
Main competencies that the graduate will have |
– To use knowledge about the properties of structural materials and their interrelationships with the strength characteristics of parts to determine stress and deformation in typical machine parts. – Based on the knowledge of the requirements for standard machine parts, design these parts and assemblies and perform their calculations. – To propose schematic diagrams of mechanisms for solving engineering problems, to master methods for calculating static and dynamic systems, rationing the accuracy of machine parts to ensure the required quality of machines and mechanisms. – To use knowledge about the basic processes in metal cutting, the processes of surface formation on metal-cutting machines, the features of various types of machines for the design of cutting tools. |
Area of future professional occupation |
– departments and workshops of machine-building enterprises; – design and research organizations; – certification and licensing services for products; – commercial and administrative structures for the maintenance of equipment and the sale of products on the domestic and international market. |
Entrance tests |
Interview to determine the level of proficiency in the language of instruction |
Operation of ground transport and technological machines and complexes
Faculty |
of innovative engineering |
Specialty |
6-05-0715-07 Operation of ground transport and technological machines and complexes |
Qualification |
Engineer |
Academic degree |
Bachelor |
Profilization |
– Technical operation of cars and car service – Electric and autonomous transport |
Duration of study |
Full-time – 4 years |
Language of study |
English, Russian |
Main subjects studied |
Engineering graphics, technology of structural materials, materials science, theory of mechanisms and machines, mechanics of materials, theoretical mechanics, maintenance of motor vehicles, diagnostics of electric and autonomous transport, device of vehicles, electrical equipment of cars, electronic car control systems, electric machines. |
Main competencies that the graduate will have |
– Apply various methods of graphic constructions on the plane and in the space of car parts and technical equipment for maintenance and repair of motor vehicles. – To select structural materials of a certain composition and functional properties during maintenance and repair of cars. – Carry out calculations for strength, rigidity and stability of structures. – To carry out measurements of electrical quantities, calculation of electrical circuits and determination of parameters of elements of electronic devices and automation devices. |
Area of future professional occupation |
– technical services of motor transport and auto repair enterprises; – transport workshops of factories and firms; – car service organizations. |
Entrance tests |
Interview to determine the level of proficiency in the language of instruction |
Computer Physics
Faculty |
Physics and technology faculty |
Specialty |
6-05-0533-04 Computer Physics |
Qualification |
Physicist. Programmer |
Academic degree |
Bachelor |
Profilization |
Computer modeling of physical and technological processes |
Duration of study |
Full-time – 4years |
Language of study |
Russian, English |
Main subjects studied |
Higher mathematics. General physics. Theoretical physics. Programming languages and technologies. Computer technologies in physics. Computer technologies in engineering. Modern physics experiment |
Main competencies that the graduate will have |
Master the basics of research activities, search, analyze and synthesize information. Master modern technologies and programming languages. Apply the laws of mechanics, molecular physics, thermodynamics, electromagnetism, optics, atomic and nuclear physics for the development and software implementation of mathematical models of physical and technological processes. Possess methods of automation of experimental research and processing of their results |
Area of future professional occupation |
Scientific research and development. Computer modeling in physics and engineering. Education |
Entrance tests |
Interview to determine the level of proficiency in the language of instruction |
Information and Measuring Equipment
Faculty |
Physics and technology faculty |
Specialty |
6-05-0716-03 Information and Measuring Equipment |
Qualification |
Engineer |
Academic degree |
Bachelor |
Profilization |
Information and Measuring Equipment |
Duration of study |
Full-time – 4years |
Language of study |
Russian, English |
Main subjects studied |
Mathematics, physics, chemistry. Information technology. Mechanics. Electrical engineering and electronics. Measurements, measuring equipment and systems. Automation. Design and production technologies |
Main competencies that the graduate will have |
Master the basics of research activities, search, analyze and synthesize information. To use the basic concepts and laws of physics, the principles of experimental and theoretical study of physical phenomena and processes to solve the problems of professional activity. Solve measurement tasks, including the selection of measurement methods and processing of measurement results |
Area of future professional occupation |
Scientific research and development in the field of natural and technical sciences. Manufacture of instruments and instruments for measurement, testing and navigation. Repair of general and special purpose machinery and equipment. Manufacture and repair of electronic household appliances |
Entrance tests |
Interview to determine the level of proficiency in the language of instruction |
Physics
Faculty |
Physics and technology faculty |
Specialty |
6-05-0533-01 Physics |
Qualification |
Physicist. Teacher |
Academic degree |
Bachelor |
Profilization |
Methods of teaching physics and computer science |
Duration of study |
Full-time – 4years |
Language of study |
Russian, English |
Main subjects studied |
Higher mathematics. General physics. Theoretical physics. Computer modeling of physical processes. Electronics and circuitry. Spectroscopy and laser physics. Methods of teaching physics and computer science |
Main competencies that the graduate will have |
Master the basics of research activities, search, analyze and synthesize information. Solve standard tasks of professional activity based on the use of information and communication technologies. Apply the laws of mechanics, molecular physics, thermodynamics, electromagnetism, optics, atomic and nuclear physics to solve typical computational and experimental physical problems. Possess methods and devices for measuring physical quantities. Use various methods of teaching physics and computer science in order to maximize the effectiveness of the educational process |
Area of future professional occupation |
General secondary education. Higher education. Analysis of physical and chemical properties of the substance |
Entrance tests |
Interview to determine the level of proficiency in the language of instruction |
Robotic Systems
Faculty |
Physics and technology faculty |
Specialty |
6-05-0713-05 Robotic Systems |
Qualification |
Engineer Specialist |
Academic degree |
Bachelor |
Profilization |
Industrial robots and robotic complexes |
Duration of study |
Full-time – 4years |
Language of study |
Russian, English |
Main subjects studied |
Mathematics, physics, chemistry. Computer science and computer engineering. Theoretical and applied mechanics. Electrical engineering and electronics. Executive systems of industrial robots. Control systems of industrial robots. Industrial robot software |
Main competencies that the graduate will have |
Master the basics of research activities, search, analyze and synthesize information. Master the basics of higher mathematics, physics, chemistry, computer science, necessary for solving professional problems. Know the types and means of automation of various types of production and production processes. Possess methods of diagnostics, adjustment and technical operation of robotic complexes, including numerical control machines |
Area of future professional occupation |
Scientific research and development in the field of natural and technical sciences. Production of individual machines and equipment for general and special purposes. Production of computing electronic and optical equipment, electrical equipment. Operation and repair of robotic systems |
Entrance tests |
Interview to determine the level of proficiency in the language of instruction |
Faculty |
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Specialty |
1-31 80 09 Applied Mathematics and Informatics | |
Profilisation | Computer Data Analysis | |
Language of study | English / Russian | |
Mode of study | Full-time | |
Term of study | 1 year 8 months | |
Entrance exams for foreign citizens | ||
Curriculum (with an indication of the main disciplines studied) |
Names of master’s degree students’ activities, cycles of disciplines, disciplines | Number of credits |
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Study of the theoretical foundations of mathematical modeling and optimization, principles and practical methods for constructing and analyzing models of complex processes, phenomena and systems. Solving optimization problems in various fields of science, technology and economics. Formation of practical skills in applying mathematical modeling and optimization methods to solve problems of modeling and optimizing complex systems using modern software |
3 |
Study of mathematical models and methods of statistical analysis of multidimensional structure data. Formation of practical skills for solving applied problems of multidimensional data analysis using modern software in the field of statistical analysis |
3 | |
Obtaining theoretical knowledge and practical skills on methodological foundations and methods of making forecasts based on mathematical models. Building predictive models. Mastering the methods of constructing econometric models based on spatial data and time series, building econometric models based on economic and statistical data. Mastering computer software packages for economic and statistical data analysis and forecasting |
6 | |
Creating a database for using modern libraries in various programming languages. The ability to adapt existing algorithms and data structures for specific application tasks. Development of the ability to evaluate the complexity of operations with data structures, perform worst-case estimation and amortized estimation of operations, use probabilistic estimation of the complexity of operations. Learning about special data structures. Study of methods of organizing efficient search, optimization of this method, using various data structures. |
6 | |
Study of modern computer systems for statistical data processing. |
3 | |
Mastering the syntax of the Python programming language and acquiring practical programming skills in Python |
3 | |
Acquisition of practical skills in using mathematics to solve data analysis problems using the Python programming language |
3 | |
Study of various models of neural networks, methods and algorithms of their training for solving practical problems with the use of ready-made libraries of the Python programming language |
3 | |
Study of methods for solving applied problems of data analysis using Pandas module of the Python programming language |
3 | |
Construction of econometric models based on panel data, methods of conducting econometric analysis, consisting in the diagnosis of models. Methods for developing forecasts based on econometric models. |
3 | |
Mastering and obtaining practical skills in algoritmization and programming methods of computational mathematics and numerical optimization methods. Using modern computer modeling software in solving problems from various fields of human activity |
3 | |
Development, solution and analysis of logistics problems based on economic and mathematical methods and models and computer technologies: construction of economic and mathematical models during logistics research. Identification of the most significant quantitative relationships of the modeled logistics objects. Mastering the techniques of mathematical formulation of individual connections and phenomena of logistics systems. Acquisition of theoretical knowledge of basic economic and mathematical models and methods of transport logistics and inventory management |
3 | |
Construction and application of optimization models and methods of applied statistics for the analysis of statistical data in various spheres of socio-economic development of the region on the basis of modern computer technologies. Using modern information technologies to solve the problems of state regulation, forecasting and planning of state revenues and expenditures. Evaluation of results, including financial and economic analysis of economic processes and production activities. Using scientific achievements and development of proposals for improving professional activities in the field of finance, money circulation and credit. Development of practical recommendations for the use of scientific research in the field of finance, money circulation and credit, planning and conducting experimental research |
3 | |
Introduction to the basic concepts and types of patterns identified by data mining, study of IAD methods, training in the use of software tools based on data mining technology for solving practical problems |
6 | |
Study of the main approaches and methods of graphical representation and data analysis. Formation of practical skills and skills of working with tools for data visualization, including business intelligence systems. |
6 | |
Mastering the statements and features of discrete programming problems. Study modern methods for solving discrete programming problems. Developing skills in using software products for implementing discrete programming algorithm. |
3 | |
Mastering methods, techniques, procedures, models and software tools for analyzing decisions in conditions of multivariance, multicriteria, uncertainty and risk, acquiring modeling skills for decision-making tasks in conditions of incomplete information |
6 | |
Systematic study of the R programming language. Study of methods for solving the main applied problems of statistical data analysis by R language (data types in R, methods for creating loops, checking conditions, rules for writing functions, handling exceptional situations, writing and reading data from files and databases, working with graphs, exporting reports to pdf-file, etc., finding descriptive statistics). |
3 | |
Study of time series analysis methods based on higher-order statistics with implementation in the Mathematica package |
3 | |
The main competencies that the graduate will acquire |
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Options to continue education (postgraduate specialties) |
• 08.00.13 – Mathematical and Instrumental Methods of Economics | |
Graduate certificate | MASTER’S DEGREE DIPLOMA |
Faculty |
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Specialty |
1-53 80 01 Industrial Automation | |
Profilization | Analysis and management in digital economy systems | |
Language of study | English | |
Mode of study | Full-time | |
Term of study | 1 year | |
Entrance exams for foreign citizens | ||
Curriculum (with an indication of the main disciplines studied) |
Names of master’s degree students’ activities, cycles of disciplines, disciplines | Number of credits |
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3 |
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3 | |
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3 | |
Digital transformation is the introduction of modern digital technologies into the business processes of an enterprise. It involves not only the use of modern hardware or software, but also fundamental changes in management approaches, corporate culture, and external communications. The discipline examines the methods of digital transformation caused by the introduction of Industry 4.0 technologies, in particular technologies based on the Internet of Things platform. The acquired practical skills will allow you to apply technologies, models, tools and digital business transformation; provide basic knowledge on the use of services to ensure cybersecurity in the context of digital business transformation |
3 | |
Project management is a recognized methodology for effective management, which is especially relevant in the context of the Industry 4.0 economy. While studying the discipline, students will get acquainted with the principles, tools and technologies that allow them to competently initiate, plan, execute, monitor and control the implementation of the plan, budget, requirements for the content and quality of the project, successfully complete the project, and effectively manage the project team. The acquired practical skills will allow you to design IT products; choose, justify and try on a project management methodology; use modern project management software systems. |
3 | |
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3 | |
The purpose of the discipline is to gain knowledge on the issues of ensuring the protection of information in cyber-physical systems built on the Internet of Things platform. We consider systems that are currently being rapidly implemented in critical areas – medicine, transport, manufacturing, but, at the same time, carry a number of threats and vulnerabilities associated with the use of modern IT. The knowledge and skills gained in the course of studying the discipline will be useful in the development and use of smart systems and the analysis of the problems of their complex information protection. |
3 | |
Within the framework of the discipline, methods of building and applying complex data processing systems are considered. Modern methods of data processing (receiving, storing, processing) and analysis using Python libraries for data representation and analysis, machine learning, and visualization are studied and systematized. The acquired knowledge and practical skills will allow you to use batch and distributed data technologies; mathematical methods and tools for statistical processing and data mining. |
3 | |
The discipline is aimed at developing students ' professional competencies in the development and use of big data processing and analysis systems (Big Data). Methods of using Big Data distributed processing systems based on Map Reduce, Hadoop, Apache Spark technologies, methods of analyzing graph structures of social networks are considered. The acquired practical skills will allow you to develop decision-making automation systems; design and use distributed data processing systems and best practices in the development of competitive software products |
3 | |
The main competencies that the graduate will acquire |
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Graduate certificate | MASTER’S DEGREE DIPLOMA |
Faculty |
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Specialty |
1-40 80 01 Computer engineering | |
Profilization | Programmable complexes, systems and services | |
Language of study | English | |
Mode of study | Full-time | |
Term of study | 1 year 8 months | |
Entrance exams for foreign citizens | ||
Curriculum (with an indication of the main disciplines studied) |
Names of master’s degree students’ activities, cycles of disciplines, disciplines | Number of credits |
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6 |
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4 | |
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6 | |
The discipline examines the architectures and concepts of functioning of specialized computer systems and networks, as well as the stages of design and operation of problem-oriented systems:
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3 | |
The discipline aims to master the basic concepts and gain practical skills in the design and development of decision support systems (DSS) and covers the following sections:
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3 | |
• the concept of a web service, the architecture of XML Web services; • development of the SOAP Web service; • Web services technology extensions: WS-Security, WS-Federation, WS-Management, and others; • Java Web services. As a result of studying the discipline, students will be able to design, implement, deploy and maintain web services. |
6 | |
The discipline introduces students to computer-aided design (CAD) systems used to create design and technological documentation, 3D models and drawings. The course deals with:
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3 | |
The discipline examines the theoretical foundations of big data, the basic elements of big data mining, and the basics of information retrieval and organization. The course content includes:
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3 | |
The discipline introduces students to the basic concepts of data mining (IAD) and the types of patterns identified using IAD. Students will learn IAD methods and software tools for data analysis to solve practical problems. The course content includes:
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3 | |
The main competencies that the graduate will acquire |
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Graduate certificate | MASTER’S DEGREE DIPLOMA |