
| 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 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. |
| Methods for Attaining Learning Outcomes: |
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| Learning outcomes: | Outcomes Part I
Part II
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| 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. |
| Code | Subject | ECTS | Semester |
| MATH5001 | Abstract Algebra | 6 | 1 |
| MATH5006 | Software Packages in Mathematics (MATLAB) | 6 | 1 |
| MATH5030 | Theory of Functions of a Real Variable | 6 | 1 |
| MATH5007 | Mathematical statistics | 6 | 2 |
| MATH5005 | Numerical Methods | 6 | 2 |
| MATH5002 | Operator Theory and Operator Algebras | 6 | 2 |
| MATH5032 | Theory of functions of complex variables | 6 | 2 |
| Total ECTS to be taken: | 42 | ||
| Code | Subject | ECTS | Semester |
| MATH1102 | 6 | ||
| MATH5029 | Algorithms and analysis | 6 | |
| INFO6270 | Artificial Intelligence Based Machine Learning Algorithms | 6 | |
| MATH5022 | Basics of Wavelet analysis | 6 | |
| INFO6263 | Big Data System | 6 | |
| MATH5027 | Cryptography | 6 | |
| INFO5112 | Database Design and Management | 6 | |
| INFO6271 | Database Systems | 6 | |
| MATH5031 | Financial Mathematics | 6 | |
| INFO5120 | Geoinformation Systems | 6 | |
| MATH5017 | Martingales and Their Applications to Mathematical Analysis | 6 | |
| INFO7854 | Python | 6 | |
| INFO7855 | R (Statistical Computing) | 6 | |
| MATH5028 | Risk assessment methods for innovative financial instruments | 6 | |
| MATH5009 | Selected Chapters in Mathematics | 6 | |
| INFO6340 | Structural analysis of systems | 6 | |
| Total ECTS to be taken: | 96 | ||
| Code | Subject | ECTS | Semester |
| MATH5004 | General and Algebraic Topology | 6 | 3 |
| MATH5010 | Harmonic Analysis | 6 | 3 |
| MATH5003 | Partial Differential Equations | 6 | 3 |
| MATH5400 | Master Thesis | 30 | 4 |
| Total ECTS to be taken: | 48 | ||
| Code | Subject | ECTS | Semester |
| MATH5026 | 6 | ||
| MATH5021 | Fourier Analysis | 6 | |
| MATH5019 | Fundamentals of the general theory of measure and integral | 6 | |
| MATH5024 | Homological Algebra | 6 | |
| MATH5018 | Integral equations | 6 | |
| MATH5016 | Lie Groups and Lie Algebras | 6 | |
| MATH5020 | Nonlinear Partial Derivative Equations | 6 | |
| Total ECTS to be taken: | 42 | ||
| 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 | |