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The University Of Georgia
Program name: Pure and Applied Mathematics
Study Level: Graduate
Program leader: George Tephnadze
Study language: Georgian
Qualification: Part I - Master of Mathematics; Part II - Master of Research in Mathematics;
Program capacity - I ნაწილი: 60
პროგრამის მოცულობა II ნაწილი: 60
Program permission: Part I Admission to the second cycle of higher academic education (master's degree programs) is based on the results of the Unified Master's Examination or in accordance with Order No. 224/N of the Minister of Education and Science of Georgia (December 29, 2011), subject to successful completion of the English language examination (written) and the specialty examination (oral), administrative registration, and an order issued by the President of the University. Part II Students who have successfully completed the first 60-credit part of a master's degree program comprising at least 120 ECTS credits are eligible to continue their studies in the second part of the program. Students are entitled to continue their studies in the second 60-credit part of the program at the same higher education institution without retaking the Unified Master's Examination, provided that no more than five years have elapsed since their enrollment in the first part of the program. If the five-year period has expired or a student wishes to continue their studies at another higher education institution, admission to the second part of the program is subject to the following cumulative prerequisites: Admission to the second cycle of higher academic education (master's degree programs) is based on the results of the Unified Master's Examination or in accordance with Order No. 224/N of the Minister of Education and Science of Georgia (December 29, 2011), subject to successful completion of the English language examination (written) and the specialty examination (oral), administrative registration, and an order issued by the President of the University.
Program goals:

Part I
The aim of Part I of the program is to enable graduates to study, analyze, and effectively apply mathematical methods and models based on various approaches to solving theoretical and practical problems across different fields.

The program aims to prepare competitive, highly qualified specialists who are capable of successfully pursuing careers in business, marketing, private organizations, and public institutions where analytical thinking and the application of various mathematical methods are essential.
Part II
The aim of Part II of the program is to prepare graduates with the knowledge, skills, and competencies required to conduct research in mathematics. Graduates will be able to independently plan and carry out research at the master's level, analyze research problems using mathematical models and methods, critically evaluate research findings, and present research results in accordance with academic standards. This will equip them with the necessary competencies to pursue further research activities.

Methods for Attaining Learning Outcomes:
  • Textbook-Based Learning Method;
  • Critical Analysis;
  • Practical Work;
  • Explanatory Method;
  • Lectures and Seminars;
  • Interactive Lectures;
  • Searching for Relevant Materials Electronically or in the Library;
  • Discussions and Debates;
  • Written Work Method;
  • Verbal (Oral) Method;
  • Presentations;
  • Demonstration Method;
  • Literature Review;
  • Teamwork;
  • Review and Analysis of Recent Developments;
  • Problem-Solving Exercises;
  • Case Studies and Analysis;
  • Induction, Deduction, Analysis, and Synthesis;
  • Problem-Based Learning;
Learning outcomes:
Outcomes
  • Part I
    Upon completion of the program, the graduate will be able to:

    • Thoroughly and systematically analyze concepts and problems in real and complex analysis and apply them to various fields of mathematics.
    • Characterize and evaluate the nature of sets from two distinct perspectives, measure theory and topology, and apply these approaches in statistics and other areas of mathematics.
    • Examine probability spaces, statistical experiments, random variables, numerical characteristics of probability distributions, and statistical estimators of parameters of various probability distributions, and apply appropriate estimation methods to specific problems.
    • Explain concepts and methods of operator theory and operator algebras, as well as fundamental methods of function theory and functional analysis, and apply them to the investigation of various mathematical problems.
    • Apply methods for studying differential equations and obtaining numerical approximations to their solutions, and develop algorithms by writing appropriate code in MATLAB.
    • Explain and formulate fundamental methods and algebraic structures of abstract algebra and apply them to solving various theoretical and practical problems.
    • Analyze initial data related to practical and applied problems through individual and collaborative work, validate the obtained results, and formulate them using mathematical language.
    • Draw conclusions on discipline-specific issues using modern technologies, communicate effectively both in writing and orally, and present findings clearly, coherently, and in accordance with academic ethical standards to both specialist and non-specialist audiences.

    Part II
    Upon completion of the program, the graduate will be able to:

    • Explain concepts and methods of operator theory and operator algebras, as well as fundamental methods of function theory and functional analysis, and apply them to the investigation of various mathematical problems.
    • Explain and formulate fundamental methods and algebraic structures of abstract algebra and apply them to solving various theoretical and practical problems.
    • Analyze significant issues in the field through individual and collaborative work and substantiate conclusions using relevant knowledge and logical reasoning.
    • Draw conclusions on discipline-specific issues using modern technologies, communicate effectively both in writing and orally, and present findings clearly, coherently, and in accordance with academic ethical standards to both specialist and non-specialist audiences.
    • Independently plan and conduct research at the master's level, formulate research aims and objectives, select appropriate mathematical methods, and evaluate the effectiveness of their application.
    • Analyze theoretical and research problems using mathematical models and methods, critically evaluate the results obtained, substantiate conclusions, and identify opportunities for further development.
    • Collaborate effectively in an academic environment, participate in research activities, and responsibly carry out both individual and collaborative research tasks.
  • Date of approval: 01-01-1900
    Approval protocol number:
    Date of program update:
    Update protocol number: 08/26
    Program details:

    The master's degree program integrates practical and research components. Upon entering the research stage, the student's research topic is determined through consultation and discussion with the program directors.

    This approach enables master's students to select elective courses from the curriculum in a purposeful manner, taking into account the specific focus of their master's thesis, thereby supporting the successful development of their research activities and professional growth.

    Teaching Process Characteristics:

    The program comprises 120 ECTS credits and is structured into two parts:

    Part I – 60 ECTS credits: Core Courses – 42 ECTS credits; Elective Courses – 18 ECTS credits.
    Part II – 60 ECTS credits: Core Courses – 48 ECTS credits, including the Master's Thesis (30 ECTS credits); Elective Courses – 12 ECTS credits.

    Patt I - Program Core

    CodeSubjectECTSSemester
    MATH5001Abstract Algebra61
    MATH5006Software Packages in Mathematics (MATLAB)61
    MATH5030Theory of Functions of a Real Variable61
    MATH5007Mathematical statistics62
    MATH5005Numerical Methods62
    MATH5002Operator Theory and Operator Algebras62
    MATH5032Theory of functions of complex variables62

    Total ECTS to be taken:

    42

    Patt I - Program Elective

    CodeSubjectECTSSemester
    MATH11026
    MATH5029Algorithms and analysis6
    INFO6270Artificial Intelligence Based Machine Learning Algorithms6
    MATH5022Basics of Wavelet analysis6
    INFO6263Big Data System6
    MATH5027Cryptography6
    INFO5112Database Design and Management6
    INFO6271Database Systems6
    MATH5031Financial Mathematics6
    INFO5120Geoinformation Systems6
    MATH5017Martingales and Their Applications to Mathematical Analysis6
    INFO7854Python6
    INFO7855R (Statistical Computing)6
    MATH5028Risk assessment methods for innovative financial instruments6
    MATH5009Selected Chapters in Mathematics6
    INFO6340Structural analysis of systems6

    Total ECTS to be taken:

    96

    Part II - Program Core

    CodeSubjectECTSSemester
    MATH5004General and Algebraic Topology63
    MATH5010Harmonic Analysis63
    MATH5003Partial Differential Equations63
    MATH5400Master Thesis304

    Total ECTS to be taken:

    48

    Part II - Program Elective

    CodeSubjectECTSSemester
    MATH50266
    MATH5021Fourier Analysis6
    MATH5019Fundamentals of the general theory of measure and integral6
    MATH5024Homological Algebra6
    MATH5018Integral equations6
    MATH5016Lie Groups and Lie Algebras6
    MATH5020Nonlinear Partial Derivative Equations6

    Total ECTS to be taken:

    42









    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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