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Training of
research scientists for creative professional activity in the field of computer
science based on extensive in-depth fundamental training. Development of
academic, professional and creative abilities of professionals who have
mastered modern achievements in the field of computer science and are able to
produce new ideas, solve complex problems, conduct research and innovation and
scientific activities in the field of information technologies, analyze,
systematize, evaluate, present the results of scientific research and/or
ongoing innovative developments, to transfer their knowledge and experience in
the course of pedagogical activities
Object(s) of study
and/or activity: processes of collecting, presenting, processing, storing,
transmitting and accessing information in computer systems. Learning goals:
acquiring the ability to produce new ideas, to solve complex scientific and applied
problems and/or problems in the field of professional and/or
research-innovative activity in the field of computer science, which involves a
deep rethinking of existing and creating new holistic knowledge of professional
practice. Theoretical content of the subject area: modern models, methods,
algorithms, technologies, processes and methods of obtaining, presenting,
processing, analyzing, transmitting, storing data in information and computer
systems. Methods, techniques, technologies: methods and algorithms for solving
theoretical and applied problems of computer science; mathematical and computer
modeling, modern programming technologies; methods of collection, analysis and
consolidation of distributed information; technologies and methods of design,
development and quality assurance of information technology components,
computer graphics methods and data visualization technologies; knowledge
engineering technologies, CASE modeling and IT design technologies.
Tools and
equipment: distributed computing systems; computer networks; mobile and cloud
technologies, database management systems, operating systems, means of
developing information systems and technologies.
The main focus of
the educational and scientific program is focused on the creation of new
knowledge in the field of computer science, development and improvement of
computer systems; methods and algorithms for solving theoretical and applied
problems of computer science; technologies and methods of design, development
and quality assurance of information technology components; computer graphics
methods and data visualization technologies; knowledge engineering
technologies; CASE-technologies of IT modeling and design using distributed
computing systems; computer networks; mobile and cloud technologies; database
management systems; operating systems; means of developing information systems
and technologies.
Evaluation
of the scientific activity of graduate students is carried out on the basis of
quantitative and qualitative indicators characterizing the preparation of
scientific works, participation in scientific conferences, preparation of
separate parts of the dissertation in accordance with the approved individual
plan of scientific work of the graduate student. Postgraduate students' reports
based on the results of the implementation of the individual plan are approved
every six months at the meetings of the departments and the academic council of
the faculty with the appropriate recommendation
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
Blended
Training of
research scientists for creative professional activity in the field of computer
science based on extensive in-depth fundamental training. Development of
academic, professional and creative abilities of professionals who have
mastered modern achievements in the field of computer science and are able to
produce new ideas, solve complex problems, conduct research and innovation and
scientific activities in the field of information technologies, analyze,
systematize, evaluate, present the results of scientific research and/or
ongoing innovative developments, to transfer their knowledge and experience in
the course of pedagogical activities
Object(s) of study
and/or activity: processes of collecting, presenting, processing, storing,
transmitting and accessing information in computer systems. Learning goals:
acquiring the ability to produce new ideas, to solve complex scientific and applied
problems and/or problems in the field of professional and/or
research-innovative activity in the field of computer science, which involves a
deep rethinking of existing and creating new holistic knowledge of professional
practice. Theoretical content of the subject area: modern models, methods,
algorithms, technologies, processes and methods of obtaining, presenting,
processing, analyzing, transmitting, storing data in information and computer
systems. Methods, techniques, technologies: methods and algorithms for solving
theoretical and applied problems of computer science; mathematical and computer
modeling, modern programming technologies; methods of collection, analysis and
consolidation of distributed information; technologies and methods of design,
development and quality assurance of information technology components,
computer graphics methods and data visualization technologies; knowledge
engineering technologies, CASE modeling and IT design technologies.
Tools and
equipment: distributed computing systems; computer networks; mobile and cloud
technologies, database management systems, operating systems, means of
developing information systems and technologies.
The main focus of
the educational and scientific program is focused on the creation of new
knowledge in the field of computer science, development and improvement of
computer systems; methods and algorithms for solving theoretical and applied
problems of computer science; technologies and methods of design, development
and quality assurance of information technology components; computer graphics
methods and data visualization technologies; knowledge engineering
technologies; CASE-technologies of IT modeling and design using distributed
computing systems; computer networks; mobile and cloud technologies; database
management systems; operating systems; means of developing information systems
and technologies.
Evaluation
of the scientific activity of graduate students is carried out on the basis of
quantitative and qualitative indicators characterizing the preparation of
scientific works, participation in scientific conferences, preparation of
separate parts of the dissertation in accordance with the approved individual
plan of scientific work of the graduate student. Postgraduate students' reports
based on the results of the implementation of the individual plan are approved
every six months at the meetings of the departments and the academic council of
the faculty with the appropriate recommendation
Admission Requirements
150+
General requirements for admission https://knute.edu.ua/blog/read/?pid=48890&uk
General requirements for admission in 2024: https://knute.edu.ua/blog/read/?pid=46226&uk
Admission requirements for foreign citizens: https://knute.edu.ua/blog/read/?pid=38710&uk
31 Aug 2025
4 Years
Sep
Candidates are required to submit an essay(s) for acceptance
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Is the educational and scientific program accredited?
1. details at the link https://knute.edu.ua/file/MTEyNDI=/95d18f031ed9551e17b0d741bf317580.pdf
How is admission to graduate school conducted?
2. details at the link https://knute.edu.ua/file/MTEyNDI=/e1a77a1026b1cdb95ada4e51bd9799b3.pdf
How are doctors of philosophy trained?
3. details at the link https://knute.edu.ua/file/MTEyNDI=/41c18cb09eac59184a3e0c117889da91.pdf
Where can I get acquainted with potential supervisors of graduate students?
4. details at the link https://knute.edu.ua/blog/read/?pid=39791&uk,
https://knute.edu.ua/blog/read/?pid=33163&uk,
https://knute.edu.ua/blog/read/?pid=39579&uk
Computer Science
State University of Trade and Economics (main campus), Kyiv, Ukraine
48 monthsProgramme duration
31 Aug, 2025Application Deadline
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
Blended
Training of research scientists for creative professional activity in the field of computer science based on extensive in-depth fundamental training. Development of academic, professional and creative abilities of professionals who have mastered modern achievements in the field of computer science and are able to produce new ideas, solve complex problems, conduct research and innovation and scientific activities in the field of information technologies, analyze, systematize, evaluate, present the results of scientific research and/or ongoing innovative developments, to transfer their knowledge and experience in the course of pedagogical activities
Object(s) of study and/or activity: processes of collecting, presenting, processing, storing, transmitting and accessing information in computer systems. Learning goals: acquiring the ability to produce new ideas, to solve complex scientific and applied problems and/or problems in the field of professional and/or research-innovative activity in the field of computer science, which involves a deep rethinking of existing and creating new holistic knowledge of professional practice. Theoretical content of the subject area: modern models, methods, algorithms, technologies, processes and methods of obtaining, presenting, processing, analyzing, transmitting, storing data in information and computer systems. Methods, techniques, technologies: methods and algorithms for solving theoretical and applied problems of computer science; mathematical and computer modeling, modern programming technologies; methods of collection, analysis and consolidation of distributed information; technologies and methods of design, development and quality assurance of information technology components, computer graphics methods and data visualization technologies; knowledge engineering technologies, CASE modeling and IT design technologies.
Tools and equipment: distributed computing systems; computer networks; mobile and cloud technologies, database management systems, operating systems, means of developing information systems and technologies.
The main focus of the educational and scientific program is focused on the creation of new knowledge in the field of computer science, development and improvement of computer systems; methods and algorithms for solving theoretical and applied problems of computer science; technologies and methods of design, development and quality assurance of information technology components; computer graphics methods and data visualization technologies; knowledge engineering technologies; CASE-technologies of IT modeling and design using distributed computing systems; computer networks; mobile and cloud technologies; database management systems; operating systems; means of developing information systems and technologies.
Evaluation of the scientific activity of graduate students is carried out on the basis of quantitative and qualitative indicators characterizing the preparation of scientific works, participation in scientific conferences, preparation of separate parts of the dissertation in accordance with the approved individual plan of scientific work of the graduate student. Postgraduate students' reports based on the results of the implementation of the individual plan are approved every six months at the meetings of the departments and the academic council of the faculty with the appropriate recommendation
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
Blended
Training of research scientists for creative professional activity in the field of computer science based on extensive in-depth fundamental training. Development of academic, professional and creative abilities of professionals who have mastered modern achievements in the field of computer science and are able to produce new ideas, solve complex problems, conduct research and innovation and scientific activities in the field of information technologies, analyze, systematize, evaluate, present the results of scientific research and/or ongoing innovative developments, to transfer their knowledge and experience in the course of pedagogical activities
Object(s) of study and/or activity: processes of collecting, presenting, processing, storing, transmitting and accessing information in computer systems. Learning goals: acquiring the ability to produce new ideas, to solve complex scientific and applied problems and/or problems in the field of professional and/or research-innovative activity in the field of computer science, which involves a deep rethinking of existing and creating new holistic knowledge of professional practice. Theoretical content of the subject area: modern models, methods, algorithms, technologies, processes and methods of obtaining, presenting, processing, analyzing, transmitting, storing data in information and computer systems. Methods, techniques, technologies: methods and algorithms for solving theoretical and applied problems of computer science; mathematical and computer modeling, modern programming technologies; methods of collection, analysis and consolidation of distributed information; technologies and methods of design, development and quality assurance of information technology components, computer graphics methods and data visualization technologies; knowledge engineering technologies, CASE modeling and IT design technologies.
Tools and equipment: distributed computing systems; computer networks; mobile and cloud technologies, database management systems, operating systems, means of developing information systems and technologies.
The main focus of the educational and scientific program is focused on the creation of new knowledge in the field of computer science, development and improvement of computer systems; methods and algorithms for solving theoretical and applied problems of computer science; technologies and methods of design, development and quality assurance of information technology components; computer graphics methods and data visualization technologies; knowledge engineering technologies; CASE-technologies of IT modeling and design using distributed computing systems; computer networks; mobile and cloud technologies; database management systems; operating systems; means of developing information systems and technologies.
Evaluation of the scientific activity of graduate students is carried out on the basis of quantitative and qualitative indicators characterizing the preparation of scientific works, participation in scientific conferences, preparation of separate parts of the dissertation in accordance with the approved individual plan of scientific work of the graduate student. Postgraduate students' reports based on the results of the implementation of the individual plan are approved every six months at the meetings of the departments and the academic council of the faculty with the appropriate recommendation
Admission Requirements
General requirements for admission https://knute.edu.ua/blog/read/?pid=48890&uk
General requirements for admission in 2024: https://knute.edu.ua/blog/read/?pid=46226&uk
Admission requirements for foreign citizens: https://knute.edu.ua/blog/read/?pid=38710&uk
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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