specialties

specialties (107)

 

Applied Mathematics and Informatics

 

Faculty 

FEU

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

 

 

  • • Mathematical modelling and optimization of complex systems

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
 
  • • Multivariate statistical analysis

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
 
  • • Mathematical and computer prediction

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
 
  • • Special data structures

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.

 
  • • Technologies and computer data processing systems

Study of modern computer systems for statistical data processing.
The most commonly used statistical methods of data processing and the principles of forming conclusions based on their application, the features of implementing algorithms for statistical methods of data processing in various modules of computer data processing systems.
Using computer systems in solving applied problems related to data processing

3
 
  • • Fundamentals of programming on Python

Mastering the syntax of the Python programming language and acquiring practical programming skills in Python

3
 
  • • Mathematics and Python for data analysis

Acquisition of practical skills in using mathematics to solve data analysis problems using the Python programming language

3
 
  • • Introduction to computer-assisted teaching on Python

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

 
  • • Applied problems of data analysis on Python

Study of methods for solving applied problems of data analysis using  Pandas module of the Python programming language

3
 
  • • Multivariate statistical analysis on panel data

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
 
  • • Numerical methods of computer modeling and analysis

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
 
  • • Data analysis in logistics

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
 
  • • Features of computer data analysis by the types of economic activity

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
 
  • • Mining technology

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

 
  • • Methods and means of data visualization

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
 
  • • Discrete optimization

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
 
  • • Mathematical methods of management in incomplete information conditions

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

 
  • • Fundamentals of computer data analysis using R language

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
 
  • • Analysis and forecasting in economics and finance using time series in Mathematica

Study of time series analysis methods based on higher-order statistics with implementation in the Mathematica package

The main competencies that

the graduate will acquire

  • • apply effective mathematical methods and computer technologies, as well as specialized software to solve scientific and practical problems;
    • develop and apply effective methods, algorithms and software tools for computer data analysis;
    • create and explore models of complex systems and processes of nature;
    • develop intelligent decision support systems;
    • solve problems of computer modeling and optimization of systems and processes of nature, management of data mining processes, simulation modeling, statistical modeling and forecasting.

Options to continue education

(postgraduate specialties)

• 08.00.13 – Mathematical and Instrumental Methods of Economics
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Industrial Automation

 

Faculty 

FMI

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

 

 

  • • Control Methods in Complex Systems
Within the framework of the discipline, methods for solving the main problems of control theory are studied. The issues related to the main methods of mathematical description and research of continuous and discrete automatic control systems are considered. The study of the discipline will allow you to develop the skills of studying specific systems, determining their main quality indicators, solving optimization problems, including using computer mathematics packages
3
 
  • • Methods of Computer-assisted Teaching
Machine learning methods are the basic technology of artificial intelligence. Within the framework of this discipline, theoretical and practical aspects of machine learning technologies, modern methods of restoring dependencies based on empirical data are studied. The issues of building and training models and evaluating their quality are considered. Skills for practical solutions to big data mining problems are also being developed in many financial, medical, commercial, and scientific applications.
3
 
  • • Neural Network Technology
Within the framework of the discipline, methods of mathematical modeling of artificial intelligence systems based on neural networks are studied. Students will get acquainted with the methods of design, training, analysis and practical application of neural networks in solving complex formalized engineering problems. The acquired practical skills will allow you to use modern software tools for building and training neural networks.
3
 
  • • Technologies of Digital Business Transformation

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 in Automatization Sector

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
 
  • • Knowledge Management Technologies and Intelligent Information Systems
Within the framework of this discipline, you will gain a systematic knowledge of the main models, methods, tools and languages used in the development of artificial intelligence systems. Get acquainted with the main methods of finding solutions used in artificial intelligence systems. You will develop analytical and practical skills that will allow you to navigate in the choice and use of methods, tools and languages in solving modern problems
3
 
  • • Contemporary Threats and Data Security Technologies

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
 
  • • Fundamentals of Data Science

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
 
  • • Methods and Algorithms of Unstructured Data Distributed Processingta

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

  • • Will be able to make decisions based on the results of the application of scientific methods, assess the completeness of information in the course of professional activity, if necessary, fill in and synthesize missing information, work in conditions of uncertainty.
    • Will be able to carry out a critical analysis of problem situations based on a systematic approach, develop an action strategy.
    • Will be able to identify and implement the priorities of their own activities and ways to improve them based on self-esteem.
    • Will be able to apply the methods of scientific knowledge (analysis, comparison, systematization, abstraction, modeling, data validation, decision making, etc.) in independent research activities, generate and implement innovative ideas).
    • Will be able to apply methods of analysis and synthesis of optimal and adaptive control systems.
    • Will be able to apply modern technologies and tools in information systems.
    • Will be able to apply systems analysis methodology when designing complex systems.
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Computer engineering

 

Faculty 

FMI

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

 

 

  • • Parallel and Reconfigurable Computing Systems
The discipline provides theoretical and practical training in the field of parallel programming and parallel computing. Mathematical models, methods and technologies of parallel programming for multiprocessor systems, systems with shared and distributed memory are considered. Practical classes are aimed at strengthening the skills of designing parallel algorithms and developing parallel programs using the Message Passing Interface (MPI) and the Open Multi-Processing (OpenMP) standard for parallelization based on multithreading. Students will be able to apply the acquired knowledge to the organization of distributed and high-performance computing, modeling and analysis of the results of fundamental physical experiments, designing parallel algorithms and developing parallel programs with different properties, as well as to optimize application programs.
 
  • • System Engineering
The discipline considers modern methods, standards and tools for planning and effectively implementing the full life cycle of complex systems of various types and purposes, as well as the basics of modeling using the MATLAB application software package. Students will study software system life cycle models, software engineering methods and tools, get acquainted with the international standard for software engineering SWEBOK (Software Engineering Body of Knowledge): software requirements, software design, software engineering, software testing, software maintenance, configuration management, development models and methods, software quality. As a result of studying the discipline, students will be able to develop models of subject areas, manage the system design process, apply system engineering standards, and perform mathematical modeling using the MATLAB engineering package.
4
 
  • • Systems of Enterprises' Informatization
Informatization systems ensure the collection, storage, processing, search, analysis and effective use of information necessary for decision-making in any field. This course is aimed at the development and design of information systems for enterprises of various scales and levels of development. As a result of studying the discipline, students will be able to design an information system of an enterprise (department of an enterprise, firm) using structural and object-oriented approaches, possess skills in the development, operation and maintenance of information systems, skills in using the SADT (Structured Analysis and Design Technique) methodology and the UML (Unified Modeling Language) modeling language.
6
 
  • • Network Problem-oriented Systems

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:

  • types of architecture of computer systems, principles of their construction and functioning;
  • the main and most promising areas of development of computer system architecture;
  • computer networks: network node, resource, client, server, traffic, bandwidth;
  • classification of computer networks, features of local and global networks;
  • modern methods of designing elements and devices of computer technology, design automation tools, design documentation design;
As a result of studying the discipline, students will be able to formalize and model the processes occurring in intelligent computing systems, choose the means for building networks in accordance with the specified operating conditions, synthesize schemes of computer systems and networks, perform diagnostics of computer systems, plan and conduct experimental research, develop scientific and technical documentation.
3
 
  • • Information Systems of Decision-making Support

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:

  • tasks and methods of decision-making, examples of decision-making tasks;
  • generating solutions using expert systems, generating solutions based on heuristic
  • assumptions;
  • formation and analysis of cognitive maps;
  • information technologies for decision support, goals and purpose of DSS;
  • Classification and main components of the DSS;
  • types of patterns identified by Data Mining methods;
  • DSS and Knowledge Discovery in Databases (KDD), KDD based on analysis of class pattern properties.
As a result of studying the discipline, students will know the main approaches to the design and construction of information DSS, possess the skills of analysis and formalization of the subject area, have practical skills in the design and development of DSS.
3
 
  • • Development and Internet-services Profiling
The discipline is dedicated to web service development technologies and introduces students to the most common description languages and protocols for their implementation: Web Services Description Language( WSDL), Simple Object Access Protocol (SOAP), Universal Description, Discovery, and Integration (UDDI). The course content includes
• 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
 
  • • Automatization of Technological Design

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:

  • CAD structure and classification;
  • mathematical support for automation of technological design;
  • geometric modeling;
  • algorithmization of design design tasks;
  • AutoCAD and T-FLEX CAD computer-aided design systems.
As a result of studying the discipline, students will be able to use SPAR for creating drawings and three-dimensional models, for automatic and semi-automatic creation and editing of control programs, for engineering calculations and document management, as well as for working with digitized tech
3
 
  • • Big Data Basis

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:

  • definitions, terms, and tasks of big data analysis (Big Data);
  • the concept of Data Mining, sources of information for Big Data, methods of data collection;
  • Map Reduce and Hadoop;
  • big data processing tools;
  • big data analytics;
  • cognitive data analysis;
  • Data Mining methods;
  • big data storage and processing technologies;
  • software tools for Big Data analysis.
As a result of studying the discipline, students will know the principles of big data analysis and be able to apply methods for analyzing and
3
 
  • • Methods of Data Mining Analysis

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:

  • data mining: methods and tasks, formulation and classification of IAD tasks, data;
  • preliminary data analysis: cleaning, normalization, standardization, analysis of emissions and anomalous values;
  • variance, exploration, and cluster data analysis;
  • data mining process: data collection and preparation, construction, validation, evaluation, model selection and correction, data analysis, interpretation and forecasting;
  • The R–language for statistical data processing and the RStudio development environment.
As a result of studying the discipline, students will be able to perform calculations using the IAD apparatus; apply IAD methods in the R computing software environment, possess skills in developing algorithms and software systems for data analysis, as well as skills in working with automation tools for data mining and processing.
3

The main competencies that

the graduate will acquire

  • • Will be able to apply the methods of scientific knowledge (analysis, comparison, systematization, abstraction, modeling, data validation, decision-making, etc.) in independent research activities, generate and implement innovative ideas.
    • Will be able to identify complex causal relationships for the design of computing systems.
    • Will be able to analyze and solve scientific and technical problems that arise in the process of planning and conducting a scientific experiment.
    • Will possess modern tools for creating a virtual environment in the design of computer systems.
    • Will have the skills to perform parallel computing on multiprocessor systems.
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Physical Education and Sport

 

Faculty 

FFK

Specialty 

1-08 80 04 «Physical Education and Sport»
Profilisation Pedagogical activity in health-improving and adaptive physical culture
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

 

 

  • • Scientific and pedagogical practice
 
  • • Coursework preparation and defense
3
 
  • • Research seminar activities
6
 
  • 1. State component
 
 
  • 1.1 Psychological and pedagogical module
3
 
  • 1.1.1 Pedagogy and psychology of higher education
3
 
  • 1.1.2 Socio-communicative technologies in professional activities
3
 
  • 1.2 Information technologies and mathematical statistics in physical education and sport

Goal: To form students ' knowledge in the field of sports measurements and processing of their results.

Objectives:

- to introduce the metrological foundations of the modern theory of integrated control in physical education and sports;

- to teach students the basic methods of statistical processing of measurement results;

- to bring the content of the course closer to the future professional activity.

To study the discipline "Information technologies and mathematical statistics in physical education and sport", you need knowledge in the following disciplines: "Anatomy", "Physiology", "Biochemistry", "Biomechanics", "Sports metrology", "Psychology", "Theory and methodology of physical education".
 
 
  • 1.3 Module 'Research work'
6
 
  • 1.3.1 Research seminar
3
 
  • 1.3.2 Coursework
24
 
  • 2. Higher educational institution component
24
 
  • 2.1 Profilization disciplines
 
 
  • 2.1.1 Module 'General theory and practical aspects of physical culture and sports'
 
 
  • 2.1.1.1 Modern problems of physical culture and sports

Goal: to form the professional competencies necessary for a physical culture specialist.

Objectives:

- to form deep knowledge in the field of physical culture and physical education for solving pedagogical, educational, health-improving and scientific-methodological problems, taking into account the age and individual-typological differences of students, specific socio-pedagogical situations, environmental factors;

- to form the skills of educational work in the field of physical education, organization of forms of the health and physical improvement of students, integrated use of methods of medical and pedagogical control of physical development and physical preparation of persons of different ages, analysis of the effectiveness of the process of physical education;

- to develop the ability to analyze, generalize and disseminate advanced pedagogical experience, systematically improve their professional qualifications, apply rational methods of searching, selecting and using information, navigate in special literature, conduct research and methodological work.

In the process of developing the professional culture of future teachers, the discipline "Theory and methods of physical culture" provides them with special pedagogical training for independent competent pedagogical activity. It is designed to form professional and pedagogical competence, to ensure the professional development of the future specialist.
3
 
  • 2.1.1.2 Contemporary control technologies in the practice of physical culture and sports
Goal: to master the theory and practice of monitoring the effectiveness of physical education, sports training, health and adaptive physical culture.
Objectives:
- to deepen the knowledge and skills acquired at the first stage of higher education, providing theoretical and methodological training of graduates to solve various problems of physical culture and sports;
- improve the skills of research activities in terms of assessing changes in the state of students under the influence of physical activity;
- to develop a professional mindset for the control and analysis of physical data for the correction of physical activity planning of the people engaged in physical exercises;
- to develop the skills to make reasoned judgments on the analysis and development of management decisions in the processing of the obtained results in order to organize the control and management of the educational and training process.
The discipline provides theoretical and practical training of master’s students for professional activities in the field of physical education and health-improving physical culture. It has a close logical relationship with the academic subjects " Theory and methods of physical culture ", "Sports metrology". The study of the discipline allows master’s students to get acquainted with the structure, content and organizational and methodological features of the implementation of control in the practice of scientific and methodological activities carried out in physical culture and sports.
3
 
  • 2.2 Elective disciplines
 
 
  • 2.1.2.1. Anti-doping policy in modern sports
    2.1.2.2. Psychology of a healthy lifestyle

Goal: to provide knowledge to specialists working in the field of "Pedagogical activity in health-improving and adaptive physical culture", as well as specialists working with athletes of different training levels, about the fight against doping, as well as to form knowledge for putting it into practice, for better training of athletes.

Objectives:

- to systematize ideas and knowledge about modern anti-doping policy;

- to provide the most complete information about all aspects of doping control;

- to form an idea of the importance of knowledge of anti-doping rules and responsibility for their violation;

- to provide knowledge about the features of biochemical reactions in the body caused by the use of doping;

- to deepen and expand the theoretical, biological and methodological training of athletes;

- to determine the range of anti-doping issues that are most relevant in modern conditions, and to outline possible ways to solve them.
3
 
  • 2.3. Medical and biological module
 
 
  • 2.1.3.1. Medical and biological aspects of physical education and sport

Goal: to promote the effective use of means and methods of physical education and sports to promote health, improve physical development, improve performance and achieve high sports results.

Objectives:

- to master the theory and methods of medical and pedagogical control, the use of means of recovery and improvement of working capacity;

- to master the skills of preventing traumas and injuries during physical training, providing first aid when they occur;

- to develop practical skills of using means of recovery and stimulation of working capacity in the organization and holding of training classes for sports games.

The material of the discipline is based on the knowledge previously obtained by students in such courses as" Theory and methods of physical education", "Basics of sports training"," Hygiene"," Sport medicine", "Exercise physiology", "Therapeutic exercises and massage".
3
 
  • 2.4. Elective disciplines
 
 
  • 2.1.4.1. Physiological fundamentals of muscular work
    2.1.4.2. Anthropology

Goal: to acquire knowledge about changes in the physiological functions of the body in the course of physical activities and sports, about the influence of physical activity on the functional capabilities and health status of children, teenagers, adults and the elderly.

Objectives:

- formation of students ' scientific understanding about the physiological mechanisms and patterns of changes in body functions under the influence of physical activities and sports;

- study of physiological states that arise in the course of performing physical exercises of various types, intensity and duration;

- study of the physiological mechanisms of the development of physical qualities and the formation of physical skills;

- study of the data of modern scientific research on the patterns of formation of long-term adaptation to muscle activity, taking into account the age and gender characteristics of a person, on the influence of various environmental factors on physical performance;

- mastering the methods of assessing physical performance in the process of doing physical exercises and sports; studying the physiological indicators of the body that characterize the training status at rest, when performing limited and maximum physical activity;

- cultivating the skills and abilities to exercise control and self-control of the functional state of those engaged in physical education and sports.

A special feature of the discipline is the emphasis on the competency-based education approach, the strengthening of the role and portion of independent work of the student, the use of modern innovative pedagogical technologies.  To study the discipline " Physiological fundamentals of muscular work", you need knowledge of physiology, anatomy and biochemistry.

3
 
  • 2.5. Module 'Theoretical and methodological aspects of health-improving and adaptive physical education'
 
 
  • 2.1.5.1. Kinesiology as the basis of health-improving and adaptive physical education

Goal: to form a body of knowledge, skills and special competencies necessary for independent activity in the field of sports and physical education activities.

Objectives:

- study of the theory of health-improving physical education;

- introduction to the main methods of health-improving physical education;

- mastering the technology of sports and physical education activities.

The academic discipline is a specialized subject of study that provides theoretical and practical training of students for professional activities in the field of physical education, tourism and recreational activities.

2
 
  • 2.1.5.2. Integrated medical and pedagogical control in health-improving and adaptive physical education

Goal: to master the basics of medical and pedagogical control, prevention of injuries and methods of their rehabilitation

Objectives:

- mastering the theory and methodology of medical and pedagogical control, the use of means of recovery and improvement of working capacity;

- mastering the skills and competences of preventing traumas and injuries during physical training, providing first aid when they occur;

- formation of practical skills and competences for the use of means of recovery and stimulation of working capacity in the organization and running of sports classes.

1
 
  • 2.6. Elective disciplines
 
 
  • 2.1.6.1. Contemporary technologies of health-improving physical education

Goals and objectives of the discipline: to study the health-improving technologies of physical education, the mechanisms and specifics of their impact on the human body, with the special aspects of their use for the preventive care and treatment of various diseases, to master the main elements of these health-improving technologies, as well as to understand the technology and specifics of their implementation, taking into account the different degree of capabilities of students.

The content of the discipline is coordinated with the courses “Theory and methodology of physical education“, ”Therapeutic physical culture”, “Sports psychology”.

3
 
  • 2.1.6.2. Integrate and inclusive adaptive physical education
 
 
  • 2.7. Elective module 1
 
 
  • 2.1.7.1. Contemporary types of health-improving physical education

Goals and objectives:

- to form an idea of the essence and purpose of modern types of health-improving physical education in the system of health-improving physical education activities and adaptive physical education;

- to study the basics of the theory and practice of applying modern types and areas of health-improving and recreational physical education: cyclic and acyclic types of health-improving physical exercises; sports and recreation systems and original programs of health-improvement; non-traditional means of health-improvement and health-improving methods of breathing exercises.

The academic discipline is a special subject of study that provides theoretical and practical training of master’s students for professional activities in the field of physical education, tourism and recreational activities.

2
 
  • 2.1.7.2. Private methods of adaptive physical education for people of different ages
 
 
  • 2.8. Elective module 2
 
 
  • 2.1.8.1. Technology of health-oriented classes programming

Goals and objectives of the academic discipline:

- to form an idea of the technology of health-oriented physical education classes programming in the system of health-improving and adaptive physical education;

- to study the algorithms of pedagogical activity that ensure the organization and running of health-oriented classes, taking into account the capabilities of various groups of students.

The academic discipline is a special subject of study that provides theoretical and practical training of master’s students for professional activities in the field of health-improving physical education, tourism and recreational activities. For the successful study of this discipline, it’s necessary for master’s students to have the knowledge, skills and competencies obtained by them in the study of the following disciplines: "Kinesiology as the basis of health-improving and adaptive physical education", "Integrated medical and pedagogical control in health-improving and adaptive physical education".

The discipline has a close logical correlation with the discipline "Contemporary technologies of health-improving physical education". The study of the discipline allows master’s students to master traditional and innovative means, forms and methods of health-improving physical education activities with different categories and age groups of the population / students, which is necessary for successful internship.

1
 
  • 2.1.8.2. Features of disabled people' sport training
 

The main competencies that

the graduate will acquire

  • • Universal competence 1. To be able to apply the methods of scientific knowledge (analysis, comparison, systematization, abstraction, modeling, data validation, decision-making, etc.) in independent research activities, generate and implement innovative ideas.
    • Universal competence 2. To be able to carry out pedagogical activities in educational institutions, to master and implement effective educational information and communication technologies, pedagogical innovations.
    • Universal competence 3. To have the ability to critically analyze and evaluate modern scientific achievements, generate new knowledge in solving research and practical problems, including in interdisciplinary fields.
    • Universal competence 5. To master the methodology of scientific knowledge, be able to analyze and evaluate the content and level of philosophical and methodological problems in solving problems of research and innovation.
    • Universal competence 6. To be proficient in a foreign language for communication in an interdisciplinary and scientific environment, in various forms of international cooperation, research and innovation activities.
    • Universal competence 7. To have the skills to use modern information technologies to solve research and innovation problems.
    • Specialized competence 1. To be able to independently identify and analyze significant scientific and practical problems in the professional field of physical education and sports.
    • Specialized competence 2. To be able to carry out all types of professional activities to promote a healthy lifestyle of various groups of the population, to form a physically educated person.
    • Specialized competence 3. To be able to use theoretical knowledge about the laws and mechanisms of human development, their anatomical and physiological, biomechanical and psychosomatic features of life activities under the conditions of sports and health-improving physical education activities to solve practical research problems.
    • Specialized competence 4. To master the techniques of medical and health practices of the peoples of the world and the ability to use them for health and correctional purposes.
    • Specialized competence 5. To have the ability to independently plan, organize and control the process of health-improving and adaptive physical education classes, taking into account a comprehensive assessment of the condition of the students.
    • Specialized competence 6. To be able to independently develop comprehensive health and correctional programs for various groups of the population.
    • Specialized competence 7. To be able to program personal and group classes with modern types of health-improving physical education, taking into account the gender, age, level of physical fitness of the students.
    • Specialized competence 8. To be able to manage the process of physical education of persons engaged in adaptive physical education, taking into account age and health status.
    • Specialized competence 9. To master technologies for organizing the process of adaptive physical education and sports training of persons with disabilities.
    • In-depth professional competence 1. To have knowledge and skills of managing small teams in professional activities in the field of physical education and sports, monitoring processes, identifying possible risks, and be able to make independent management decisions.
    • In-depth professional competence 2. To plan, organize, control and adjust the educational process, research, organizational and managerial, sports, health-improving physical education activities, to choose and effectively use educational technologies, methods and means of communication.
    • In-depth professional competence 3. To master the skills of working with the main software products of information technologies, methods of mathematical modeling and optimization for solving research problems in the field of physical education and sports.
    • In-depth professional competence 4. To be able to search, analyze and systematize scientific information in the field of physical education and sports, set research goals and objectives and choose the best ways to achieve them in practice.
    • In-depth professional competence 5. To have the ability of a variable approach to solving modern scientific problems and practical problems in the field of physical education and sports, taking into account theoretical and methodological, general scientific, pedagogical and concrete scientific provisions and principles.

Options to continue education

(postgraduate specialties)

 13.00.04 Theory and methods of physical training, sports training, health-improving and adaptive physical education.
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Ecology

 

Faculty 

FBE

Specialty 

1-33 80 01 Ecology
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

 

 

  • • Theory and methodology of environmental research
    • Innovative technologies in the field of ecology and protection
    • Methods of processing environmental data
    • Environmental physiology and public health
    • Assessment and management of climate risks
    • Use and protection of atmospheric air and water resources
    • Production and consumption waste management
    • Modeling and Forecasting Climate Change in Ecosystems
    • Decarbonization Strategy for Industry and Transport.

The program aims to train students in the ability to identify threats, risks, as well as opportunities associated with human activities at the global level; skills to maximize and control the development of environmentally friendly products and services

60 credits

The main competencies that

the graduate will acquire

  • Training scientific experts capable of developing experiments and models to gain knowledge in the field of evolutionary ecology relevant to environmental management. Professionals will have the ability to develop sustainable strategies and produce and sell products and services, while creating sustainable value for the company and society.

Options to continue education

(postgraduate specialties)

Postgraduate studies:
• Microbiology
• Biotechnology
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Biochemistry

 

Faculty 

FBE

Specialty 

1-31 80 11 Biochemistry
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

 

 

  • • Physical biochemistry
    • Clinical biochemistry
    • Biochemistry of Hormones
    • Cellular biology
    • Cell signal transduction
    • Medical biochemistry
    • Medical immunology
    • Clinical microbiology
    • Virology
    • Laboratory methods in microbiology
    • Laboratory methods in biochemistry
    • Structural and functional organization of genomes.

Academic disciplines include molecular structure, the function of various enzymes, and the detailed study of basic biochemical processes. Disciplines will allow you to study the structure, function and biological processes of various molecules and macromolecules in complex biological systems.

120 credits per study period

The main competencies that

the graduate will acquire

  • Research topics include the biochemical basis of human disease, protein structures and conformations, non-invasive diagnostics, biochemical pathway regulation, and drug development. Graduates are able to synthesize this knowledge and apply it in a variety of laboratory practices. The Master's Degree in Biochemistry is suitable for students looking for career advancement, strengthening a biochemical background, or preparing for a doctoral program. The master's program prepares students for employment in any teaching or research field, in the public and private sectors, related to the chemical and biological sciences.

Options to continue education

(postgraduate specialties)

Postgraduate studies:
• Biochemistry
• Biophysics
• Microbiology
• Biotechnology
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Biology

 

Faculty 

FBE

Specialty 

1-13 80 01 Biology
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

 

 

  • • Physical biochemistry
    • Clinical biochemistry
    • Biochemistry of hormones
    • Cellular Biology
    • Cell signal transduction
    • Medical biochemistry
    • Medical immunology
    • Clinical microbiology
    • Virology
    • Laboratory methods in microbiology
    • Laboratory methods in biochemistry
    • Structural and functional organization of genomes

In the disciplines taught, attention is paid to the latest advances in biology literature, as well as the development of professional skills related to the practice and dissemination of modern biological sciences. Academic disciplines include molecular structure, the function of various enzymes, and the detailed study of basic biochemical processes. Disciplines will allow you to study the structure, function and biological processes of various molecules and macromolecules in complex biological systems.

120 credits per study period

The main competencies that

the graduate will acquire

  • Areas in which master's students can pursue research include cellular and molecular biology, microbiology, ecology and evolution, biology of organisms, genetics and epigenetics, environmental science, toxicology, physiology, development, and various aspects of applied biology (such as agriculture and conservation nature).

    The master's program prepares students for employment in any teaching or research field, in the public and private sectors, related to the chemical and biological sciences.

Options to continue education

(postgraduate specialties)

Postgraduate studies:
• Biochemistry
• Biophysics
• Microbiology
• Biotechnology
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Linguistics

 

Faculty 

FP

Specialty 

1-21 80 23 Linguodidactics
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

 

 

  • • Pedagogy and Psychology of Higher Education
The main goal of mastering the discipline "Pedagogy and Psychology of Higher Education" in the Master's program is the formation of psychological and pedagogical competencies among master's students, providing an effective solution to professional and social-personal problems of pedagogical activity in universities.
 
  • • Theoretical and methodological base of the development of modern technologies for teaching a foreign language
The discipline is aimed at the complex formation of the academic, social-personal and professional competencies of a specialist with in-depth training in the development of innovative technologies for teaching a foreign language.
6
 
  • • Development of modern didactic materials
The main goal of the discipline is to develop students' fundamental ideas about the design of holistic quality control systems for the effectiveness of the educational process in a foreign language at different stages of mastering and in all the main aspects of speech activity and language competencies of students. The theoretical basis of quality control is based on the application of the basic principles of cybernetics to educational systems focused on teaching foreign languages, as well as on independent mastering of foreign languages.
9
 
  • • Intercultural communication in business communication
In the course of studying the academic discipline, communications in the social sphere are considered, the mastery of technologies of which is a component of the professional competence of a researcher, prepared for various types of interaction in the process of performing research work, approbation of the main results of research in the framework of scientific discourse
9
 
  • • Fundamentals of scientific research methodology in linguodidactics
In the course of studying the academic discipline, acquaintance with the philosophical, general scientific and private linguistic methods of studying and describing the language as a sign system and individual units of all levels of the language, preparation of master students for research work in the field of linguistics with the effective use of methods of language research is carried out.
6
 
  • • Methodology of pedagogical experimental research activities
The course "Methodology of pedagogical experimental research activities" is intended for master students and occupies one of the most important places in the scientific training of a master of education. The course reveals the features of the organization and implementation of pedagogical research in teaching foreign languages, the analysis of the results obtained and the completion of a master's thesis, which is the leading component of the second stage of higher education of the content of training for master's students.
6
 
  • • Development of modern quality control tools for mastering foreign language communication
The main goal of the discipline is to develop students' fundamental ideas about the design of holistic quality control systems for the effectiveness of the educational process in a foreign language at different stages of mastering and in all the main aspects of speech activity and language competencies of students. The theoretical basis of quality control is based on the application of the basic principles of cybernetics to educational systems focused on teaching foreign languages, as well as on independent mastering of foreign languages. The development of tools for assessing the quality of mastering foreign language communication allows the subjects of the educational process to standardize approaches to monitoring the intermediate and final results of linguodidactic activities, to increase the objective component of the control process,
9
 
  • • Modern technologies for the formation of foreign language communicative competence
The discipline is aimed at the complex formation of the academic, social-personal and professional competencies of a specialist, allowing him to adequately apply communicative learning technologies in the educational process in foreign languages.
6
 
  • • Course work
The main task of the course work is the formation of the ability of independent scientific research to study a given topic, including the development of the skill to find the necessary information from various sources, the application in practice of various scientific research methods, the improvement of the skill of formulating the subject, goals, objectives and conclusions of scientific research.
3

The main competencies that

the graduate will acquire

  • In the course of training, a master's student acquires the skills of qualified research in the field of linguadidactics; skills in applying the methods of scientific knowledge in independent research activities; skills of conducting written and oral communications in the professional field of activity; skills of writing abstracts, annotations, summaries of texts, as well as their adaptation for teaching.

Options to continue education

(postgraduate specialties)

• 10.02.20 Comparative-historical, typological and comparative linguistics
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Linguistics

 

Faculty 

FP

Specialty 

1-21 80 11 Linguistics
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

 

 

  • • Methodology of Linguistic Researches
In the course of studying the academic discipline “Methodolo-gy of Linguistic Research”, an acquaintance with the philoso-phical, general scientific and private linguistic methods of studying and describing language as a sign system and individual units of all levels of the language, preparation of undergraduates for research work in the field of linguistics with effective use of methods of language research will be made.
 
  • • Ethnopsycholinguistics
In the course of studying the discipline “Ethnopsycholinguis-tics”, the formation of ideas about what is universal and culturally specific in commu-nication is carried out, i.e. the national and cultural specificity of speech activity is studied in the range of problems relevant to modern science.
3
 
  • • Language and Society
In the course of studying the discipline “Language and Society”, professional skills are developed for independent research work in the field of interaction between language and society and the sociolinguistic study of multilingualism.
3
 
  • • Theory and Practice of Communication
In the course of studying the academic discipline, communications in the social sphere, the mastery of technologies of which is a component of the professional competence of a researcher, prepared for various types of interaction in the process of performing research work, approbation of the main results of research in the framework of scientific discourse are considered.
6
 
  • • Special Seminar on Thesis Profile
A special seminar on the profile of the dissertation is designed to form the ability to solve specialized research problems in the profile of scientific research.
6
 
  • • Semiotics and Philosophy of Language
In the course of studying the course ‘Semiotics and Philosophy of Language”, the formation of knowledge, skills and abilities in the field of philosophical analysis of language, as well as acquaintance with the basic philosophical and semiotic concepts that determine the development of linguistics, is carried out in future masters of philological sciences.
9
 
  • • Theory of Speech Genres
In the course of studying the discipline “Theory of Speech Genres”, the knowledge of undergraduates on the problems of typology of speech genres is deepened, the skills and abilities of linguistic analysis of texts of different speech genres are formed.
6
 
  • • Pragmatics and Communicative Personality
In the course of studying the discipline, undergraduates are introduced to the latest theoretical achievements in line with the communicative and pragmatic direction in linguistics, as well as skills and abilities are formed within the framework of pragmatic competence in the fields of intercultural, professional, socio-political and scientific communication.
6
 
  • • Derivation in Comparative Typological Lighting
The course “Derivation in comparative typological coverage” is devoted to comparing the features of word formation methods in different languages and identifying typological connections and differences in derivation.
3
 
  • • Modern Lexicology and Phraseology in a Comparative Aspect
In the course of studying the discipline “Modern lexicology and phraseology in a comparative aspect”, the analysis of the main aspects and methods of comparative typological research of the vocabulary and phraseology of related and unrelated languages is carried out.
3
 
  • • Grammatical Semantics
The discipline “Grammatical semantics” is aimed at the formation of master’s students’ knowledge of the parameters of the diversity of natural languages, the foundations of their areal, typological and genetic classification, as well as mastering the skills of typological characteristics of the language based on grammar.
3
 
  • • Linguistic Stylistics
In the course of studying the discipline “Linguostylistics”, the formation of linguo-stylistic competencies is carried out, that is, through the study of the expressive means of the language and the regularities of the functioning of the language in various spheres of social activity and communication situations, the communication and professional competencies of students are improved.
3
 
  • • The Basics of Comparative Typological Linguistics
The course “Fundamentals of Comparative Typological Linguistics” provides an acquaintance with the main achievements of modern typology and contrastive linguistics, gives a general idea of the basic principles of typological classification of languages and the most significant typological parameters, explains the methodology of typological and comparative research, prepares students for research activities within the framework of comparative and typological direction.
3
 
  • • Directions of Modern Linguistics
In the course of studying the discipline “Directions of modern linguistics”, the formation of the linguistic and linguocultural competences of the philologist takes place, the readiness to productively solve professional problems in the aspect of linguistic analysis of the text, the theoretical foundations of the study of linguistics at this stage of the development of science are being improved, practical recommendations are given for the analysis of complex and ambiguous modern linguistics of linguistic phenomena.
3
 
  • • Business Communication: Lingvostilistichesky aspect
In the course of studying the discipline “Business communication: the linguistic aspect” undergraduates solve the problems of business communication, study the theoretical and practical aspects of documentary linguistics.
3
 
  • • Linguistic Source Study
The discipline gives a holistic view of linguistic source studies as a new direction in modern linguistics; studies linguistic sources, techniques and methods of their analysis, focuses on identifying the informative capabilities of linguistic sources for the study of problems in relation to different areas of linguistics.
3
 
  • • Language and Culture of Speech in the Media
The discipline “Language and culture of speech in the media” is designed to consider the media in a broad context, with due regard for establishing the influence of social, political and cultural factors on the functioning of the language in society.
3
 
  • • Linguodidactics
Linguodidactics is an applied linguistic discipline that considers both teaching a foreign language and mastering a foreign language. Linguodidactics explores the general patterns of teaching languages, develops methods and means of teaching a particular language, depending on didactic goals, studies the influence of monolingualism or bilingualism on language acquisition and solves a number of related problems.
3
 
  • • Coursework
The main task of the course work is the formation of the ability of independent scientific research to study a given topic, including the development of the skill to find the necessary information from various sources, the application in practice of various scientific research methods, the improvement of the skill of formulating the subject, goals, objectives and conclusions of scientific research.
3

The main competencies that

the graduate will acquire

  • In the course of training, a master’s student acquires the skills of qualified research in the field of linguistics; skills in applying the methods of scientific knowledge in independent research activities; skills of semantic analysis of grammatical units and linguo-stylistic analysis of the text; skills of conducting written and oral communications in the professional field of activity; skills in working with linguistic sources, including the skills of writing abstracts, annotations, summaries of texts, as well as their adaptation for teaching purposes. 

Options to continue education

(postgraduate specialties)

• 10.02.20 Comparative-historical, typological and comparative linguistics
• 10.02.01 Belarusian language
• 10.02.02 Russian language
• 10.02.19 Theory of language
Graduate certificate MASTER’S DEGREE DIPLOMA

 

 

Jurisprudence

 

Faculty 

FFK

Specialty 

1-24 80 01 Jurisprudence
Profilization  Prosecution and Investigation Activities
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

 

 

  • 1. Module «Modern problems of jurisprudence»
• Modern Problems and Methodology of Legal Science
• Lawmaking of Representative, Executive and Judicial Authorities
• Legal Support of the Development of an Electronic State
9
 
  • 2. Module «International legal cooperation»
• Implementation of International Treaties in the National Legal System
• Institutional Law of the Union State, EEU and CIS
6
 
  • 3. Module «Research work»
The student provides the results of their work on the master's thesis for the semester
3
 
  • 4. Practice
Professionally oriented
3
 
  • 5. Module «Foreign Economic law»
• Foreign Economic Law
• State Regulation of Foreign Economic Activity
• International Settlement and Credit Relations
9
 
  • 6. Module «Comparative private and international economic law»
• Commercial Law of Foreign States
• EU Corporate Law
• International economic law
9
 
  • 7. Module «Protection of the rights of participants in foreign economic activity: innovative approaches»
• Relevant Problems of International Civil Procedure
• Protection of Foreign Economic Activity's Subjects in International Courts of Arbitration
• Protection of Foreign Economic Activity's Subjects in International Judicial Bodies
6
 
  • 8. Module «European Private and Financial Law
Study: European private law and European financial law
3
 
  • 9. Writing a master's thesis
While studying in the master's program, the master's student is engaged in scientific research
12

The main competencies that

the graduate will acquire

  • According to the Higher Education Standard 1-24 80 01-2019 of the specialty Jurisprudence, a master who has mastered the content of the educational program of the master's degree in this specialty must have universal, in-depth professional and specialized competencies 
Graduate certificate MASTER’S DEGREE DIPLOMA

 

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