Educational program

More details
Code – Speciality

8D06101 - Information Systems (in Branches)
The aim of the educational program

Training of scientific and pedagogical personnel with a high level of professional education and culture for fundamental and applied research aimed at analyzing, designing and managing complex information systems, processes and technologies in various fields and awarding the degree of Doctor of Philosophy (PhD) in Information Systems.
Graduate model
Graduate qualification Professional sphere:

- Theoretical and experimental studies of information processes and resources using the methodology of scientific creativity and knowledge management;
- mathematical, algorithmic, technical, informational, analytical support of information systems and decision support processes at various management levels;
 - complex resource-intensive tasks using modern methods of processing big data and Data Mining technology;
- research and practical tasks of building modern information systems and IT infrastructure;
 - applications for research projects, scientific publications in the field of ICT;
The object of professional occupation:

- scientific, research, research and production organizations related to solving problems in the field of modeling, evaluation, optimization of information processes and resources and the creation of information systems and IT infrastructure;
- government bodies, design organizations, industrial enterprises, financial organizations.
Types of professional occupation:

- research activities;

- design and development activities;

- design and technological activities;
-
experimental research;

- scientific and pedagogical activity.
Functions of professional occupation:

conducting theoretical and experimental studies of information processes and resources using the methodology of scientific creativity and knowledge management;

- development of mathematical, algorithmic, technical, informational, analytical support for information systems and processes to support decision-making at various levels of management;

- solving of complex resource-intensive tasks using modern methods of processing big data and data mining technology;
- solving of research and practical problems of building modern information systems and IT infrastructure;

- drafting and evaluation of applications for research projects in the field of ICT;

- preparation of presentations, scientific and technical reports on the results of the performed research work, registration of research results in the form of articles and reports at scientific and technical conferences;

- development and implementation of the main educational programs of higher and postgraduate education for the training of IT specialists.
Graduate competences map
Formed core competencies Program outcome
1. Ability to participate in professional discussions on solving scientific (scientific and technical) and scientific and educational problems, publish research results in international scientific journals, objectively evaluate the results of research and development in the field of ICT, including using international databases of publication activity performed by others by specialists. Identify current scientific problems and methodologies for building concepts, strategies, functional models of ICT activities and interactions using systems engineering and Data Science methods; develop teaching and learning materials for the disciplines taught, taking into account the integration of education, science and innovation; participate in research, development and team projects; observe the principles of academic honesty and integrity. Translated with DeepL.com (free version)
2. Ability to formulate research tasks in the academic or industrial industry and find ways to solve them based on models and methods of data mining, machine learning, big data processing and systems engineering. Analyze the structure of scientific publications, prepare scientific articles, reports of scientific and technical analysis and expertise of ICT R&D and S&T projects based on scientific research criteria and Data Science methods
Develop multifactor computational models of experimental data to solve real-world complex resource-intensive scientific and technological problems and to structure problem situations using Machine Learning, Data Science and systems engineering techniques.
3. The ability to conduct independent research, obtain theoretical, methodological and practical results and the willingness to professionally compile and prepare application, reporting documentation for scientific grants for the implementation of integrated research, including interdisciplinary and in the field of ICT. Develop sound ICT R&D applications or explanatory notes for commercialization of projects leading to new knowledge and new solutions to real scientific and technological problems in academia or industry.
Apply scientific creativity and knowledge management methodology to theoretically and experimentally investigate ICT information processes and resources to solve real-world scientific and technological problems in academia or industry.
4. Ability to develop and apply the methods of Data Science, Machine Learning, Data Mining to solve complex resource-intensive scientific and technological problems, to structure problem situations, as well as to make decisions at various levels of management. Develop intelligent information systems and components to them to support decision making at various levels of management in academia or industry.
Modular Curriculum
Base disciplines Profiling disciplines Additional types of study