Doctoral Educational programs of the School of Information Technology and Engineering
The School of IT and Engineering offers two PhD programs:
- 8D06101 «Computer Science, Computer Engineering and Management»
- 8D06102 «Computer Science and Artificial Intelligence»
The PhD programs focuses on preparing highly qualified scientific and scientific-pedagogical personnel for activities that require in-depth fundamental and professional training and knowledge in the field of informatics and computing technology.
The programs are aimed at those who wish to create new more efficient methods of processing and accumulating information, new methods and means of intelligent data processing, instrumental and applied software systems of various classes for automation professional activity in various subject areas and for solving various new classes of problems.
Language of instruction: English
The duration of training is 3 years.
Enrollment data
The table below summarizes the 4-year enrollment information
Year |
2019 |
2020 |
2021 |
2022 |
Total |
Computer Science, Computer Engineering and Management |
13 |
5 |
5 |
1 |
24 |
Computer Science and Artificial Intelligence |
0 |
0 |
0 |
3 |
3 |
Total |
13 |
5 |
5 |
4 |
27 |
The Computer Science, Computer Engineering and Management doctoral program currently has one graduation with seven graduates.
{spoiler=8D06101 «Computer Science, Computer Engineering and Management»}
Aim of program: fundamental, scientific and professional training of doctoral students. The Doctor of Philosophy (Ph.D.) degree is conferred by the School of IT and Engineering primarily in recognition of competence in the subject field and the ability to investigate engineering problems independently, resulting in a new contribution to knowledge in the field. The work for the degree consists of engineering research, the preparation of a thesis based on that research, and a program of advanced study in engineering, mathematics, and related physical sciences.
Group of educational programs: D094 Information Technology
Educational Outcomes:
- Arguing the choice of basic standards, principles and design patterns, methods, tools and programming languages, including choosing methods and means of building information security systems for modern ICT.
- Apply mathematical models and methods of various processes.
- Design of database architecture, software and information systems.
- Design and develop ergonomic user interfaces.
- To develop and / or use software, hardware, information, mathematical, functional support of information systems, including algorithms and methods of information security.
- Extract the necessary information from various sources, including real-time information flows.
- Solve applied data processing and analysis tasks to identify hidden dependencies in them.
- Conduct a comprehensive analysis and analytically summarize the results of scientific research using modern scientific and technological achievements, the skills of independent data collection, study, analysis and generalization.
Graduate Attributes:
- Possess an in-depth and sophisticated understanding of their domain of study.
- Be intellectually agile, curious, creative and open-minded.
- Be thoughtful decision makers who know how to involve others.
- Be entrepreneurial, self-propelling and able to create new opportunities.
- Be fluent and nuanced communicator across languages and cultures.
- Be cultured and tolerant citizens of the world.
- Demonstrate high personal integrity.
- Be prepared to take a leading role in the development of their country.
List of elective disciplines:
- Advanced Artificial Intelligence
- Advanced statistics
- Software Architecture
- Advanced Big Data Analytics
- Artificial Intelligence in Education
- Data Collection and Analysis (Hadoop)
- Natural language processing and pattern recognition methods
- Software Engineering
{/spoilers}
{spoiler=8D06102 «Computer Science and Artificial Intelligence»}
Aim of program: Train IT researchers who have mastered the modern achievements of computer science and artificial intelligence, who are able to formulate and solve complex problems related to statistical modeling, design, development and maintenance of information systems and technologies using artificial intelligence, as well as intelligent data analysis and processing systems in organizational and technical systems.
Group of educational programs: D094 Information Technology
Characteristics of the educational program:
The educational program 8D06102 "Computer Science and Artificial Intelligence" is focused on the formation of a professional personality of a specialist capable of:
- interpreting and generalizing deep modern knowledge of the latest theories in the field of software development, creating effective ways to solve computational problems;
- solving problems in new contexts within broader or related scientific fields related to computer science;
- independently carry out scientific research in the context of the latest theories, methodologies and technologies;
- interpret the results of their own scientific research, defend them in scientific and industrial discussions, test them at national and international conferences, in peer-reviewed journals;
- independently build a further program of their scientific and educational activities.
Qualification characteristics of the graduate:
- Study business problems from an IT perspective
- Coordinate IT plans and goals with business plans and goals
- Formulate strategic and tactical recommendations on using IT to improve business efficiency
- Plan and organize IT-related projects, events and initiatives
- Make decisions based on organizational factors to ensure the successful deployment of IT solutions
- Interact effectively with both stakeholders and non-IT stakeholders within the project team
- Experience and knowledge in information systems
- An advanced understanding of business processes
- Budgeting skills
- Decision-making and leadership ability
- Interpersonal and communication skills.
List of elective disciplines:
- Advanced Artificial Intelligence
- Advanced Natural Language Processing
- Advanced Big Data Analytics
- Artificial Intelligence in Education
{/spoilers}