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The University Of Georgia
Program name: Computer Science 2026
Study Level: Doctoral
Program leader: Sergo Tsiramua
Study language: Georgian
Qualification:
Program capacity: 60
Program permission: The Doctoral Program in Computer Science will admit candidates with a Master of Information Technology/Computer Science/Informatics/Applied Mathematics degree or equivalent. Applicants for the Doctoral Program shall submit a research thesis/project to the Scientific Advisory Board in accordance with the rules established by the University of Georgia. Candidates are required to have previous work/publication in the relevant field and/or participation in scientific research projects and/or at least 2 years of experience in the relevant field, which allows for the assessment of the candidate's research skills. When accepting candidates for the Doctoral Program, the candidate's level of foreign language proficiency is determined. Considering the specifics of the field, in order to enroll in the program, a person must have English language skills at least at the B2 (Intermediate) level, which can be confirmed by a relevant international certificate, a document confirming an English-language bachelor's, master's or doctoral program completed abroad, or by passing an internal exam established by the university. The minimum threshold of competence is 60% of the maximum exam score.
Program goals:

The aim of the Doctoral Program in Computer Science is to help doctoral students become independent researchers of high academic standards who will be able to conduct original research in modern areas of computer science. The doctoral program is aimed at creating new knowledge in the field of computer science or developing existing knowledge.

The program is focused on deepening the research skills of doctoral students, developing research planning and management competencies, mastering interdisciplinary approaches, and effective communication of research results in the academic space.

Graduates will be able to find employment in academic/scientific positions in educational and scientific research institutions, as well as in private and state structures in positions related to research activities in the field of computer science.

Methods for Attaining Learning Outcomes:
  • Lecture seminars;
  • Explanatory method;
  • Interactive lectures;
  • Discussion / debate;
  • Verbal, or oral method;
  • Critical analysis;
  • Practical work;
  • Preparation and presentation of seminars;
  • Induction, deduction, analysis and synthesis;
  • Problem-based learning;
  • Action-oriented learning;
  • Literature review;
  • News identification;
  • Case study and analysis;
  • Book-based method;
  • Written work method.
Learning outcomes:
Knowledge and understanding

  • Graduate:

    • Thoroughly reviews the latest achievements in the field of computer science, which allows for the expansion of existing knowledge;
    • Critically and systematically reviews the field of computer science, determines ways to solve complex problems or tasks, including through the principles of mathematical modeling, artificial intelligence, machine learning, algorithmization and optimization;
    • Determines the main principles of planning, organizing and managing research projects, including the selection of research methodology, identification of funding schemes, scheduling and monitoring mechanisms, which ensures the purposeful conduct of the research process;
    • Critically reviews the fundamental theories and concepts of pedagogy, modern approaches and strategies for learning, teaching and assessment.

    • Skills

  • The graduate:

    • Conducts research in compliance with the principles of integrity, using various research and/or analytical methods, processing information, critically analyzing and evaluating existing approaches, solving complex problems and tasks to create new knowledge and/or develop existing knowledge;
    • Reflects the knowledge gained in the research process, research results/findings in various scientific products and activities: scientific article, participation in a conference, seminar presentation, etc.;
      Presents research results/findings, own conclusions and opinions in a well-founded manner both to colleagues and to the general public; Participates in relevant thematic discussions;
    • Plans the teaching process, using modern approaches and strategies of learning, teaching and assessment.

    • Responsibility and autonomy

  • The graduate:

    • Participates in cutting-edge scientific activities and/or development-oriented activities, demonstrating professional responsibility and autonomy;
    • Adheres to academic and professional integrity and ethical principles in research activities;
    • Contributes to the expansion and dissemination of knowledge in the field of computer science.
    • Date of approval: 12-24-2019
    Approval protocol number: 51/19
    Date of program update: 12-30-2025
    Update protocol number: 13PDC315-2025
    Program details:

    Admission to the program is announced in accordance with the procedures stipulated in the Doctoral Regulations.

    The number of pages of the doctoral thesis is determined to be no less than 70 and no more than 150 pages.

    Teaching Process Characteristics:

    The duration of study in the doctoral program is at least 3 years. The academic year is structured according to the semester principle. All study components are one semester long. The program includes 60 ECTS study components. Of these, 45 ECTS are core study components, and 15 ECTS are program electives.

    To be awarded the academic degree of Doctor, a doctoral student must publish at least 2 scientific articles in the relevant field of research, one of which must be published in a peer-reviewed foreign international indexed journal in accordance with university regulations. A doctoral student is also required to participate in at least two scientific conferences as a speaker.

    Program Core

    Code Subject ECTS Semester
    BUSN7110Preparation and management of Research project10
    INFO7016Artificial intelligence10
    INFO7021Theory of algorithms10
    MATH7013Quantitative research methods10
    STEM0001Research0
    METH7117modern teaching strategies in height education5 0

    Total ECTS to be taken:

    45

    Program Elective

    Code Subject ECTS
    INFO7211Machine learning based on big data systems5
    INFO7210Structural analysis of complex systems10
    MATH7020Mathematical modelling10
    LANG 7210Text Processing and Translation5
    PDPR 7217education practice5

    Total ECTS to be taken:

    35









    Matrix Of Privequisites


    Point GPA The university assessment   The general assessment in Georgia
    97-100 4,00 A+ A Excellent
    94-96 3,75 A
    91-93 3,50 A-
    87-90 3,25 B+   Very good
    84-86 3,00 B B
    81-83 2,75 B-  
    77-80 2,50 C+   C good
    74-76 2,25 C
    71-73 2,00 C-
    67-70 1,75 D+   D Satisfactory
    64-66 1,50 D
    61-63 1,25 D-
    51-60 1,00 E E Sufficient
    Not passed
    41-50   FX FX Insufficient
    <40   F F Failed



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