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Computer Science
State University of Trade and Economics (main campus), Kyiv, Ukraine
48 monthsProgram duration
31 Aug, 2024Application Deadline
YesScholarships
Computer Science and Information SystemsMain Subject Area
Program 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
Program 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
Important Dates
Application
Tuition fee and scholarships
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
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A list of available scholarships around the world
A scholarship application checklist
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