AI/Data Science
Program Overview
AI/Data Science at Georgian National University SEU is an English-taught bachelors degree program designed to build current academic knowledge, applied skills, professional judgment, and readiness for employment or further study. The curriculum combines core study with research, practical learning, and a final integrative component.
Goals, Outcomes & Methods
Programming, algorithms and data structures, databases, operating systems, networks, software engineering, mathematics, data analysis, information security, emerging technologies, projects, and a capstone.
I. Knows the basic concepts and theoretical issues of computer science.
II. Describes the tools and theoretical foundations necessary for implementing projects in the fields of Data Science and Artificial Intelligence.
III. Analyzes algorithms, appropriate models, and software tools related to computer science and data science in accordance with the given task.
IV. Analyze problems in computer science and data science using relevant disciplinary approaches.
V. Apply data science and artificial intelligence tools in the development of computer technology-based solutions.
VI. Collect, process, analyze, and present information in accordance with specified requirements.
VII. Prepares presentations and communicate effectively in professional activity process.
VIII. Plans development-oriented activities, both individually and within a team, in accordance with the principles of professional ethics.
Lectures, seminars, guided discussion, case and problem-based learning, individual and group assignments, presentations, practical or laboratory sessions, independent study, digital learning resources, and project or research supervision.
Program Structure & Plan
The duration of the Bachelor's Program in Data Science and Artificial Intelligence is 3 academic years (6 semesters) and implies the accumulation of 180 ECTS, which equals to 4500 hours. Each credit (ECTS) equals to the learning activity of a student (student workload) of 25 hours and includes both – contact and independent hours.
The distribution of credits among the different study components should be based on a realistic assessment of the study load of a student with average academic achievements that are required to achieve the learning outcomes and goals set for each component.
When calculating the credit, the time determined for the additional exam (preparation, passing, evaluation) as well as the consultation time with the person implementing the component of the educational programme should not be taken into account.
The full workload of an academic year includes 60 (ECTS). During the academic (spring and autumn) semester the student must cover on average 30 credits.
Taking into account the features of the higher education programme and/or the student's individual curriculum, it is allowed for the student's study load to exceed 60 credits or be less than 60 credits during one academic year. It is not allowed for a student's study load to exceed 75 (ECTS) credits in one academic year.
An academic week is a period of time over which the study load of a student with average academic achievement is distributed and includes a combination of activities to be performed during both contact and independent hours.
A semester is a period of time that includes a combination of academic weeks, a period of conducting an exam/additional exam and evaluation of student’s learning outcomes.
The program is regarded as completed, when the student accumulates at least 180 ECTS, which implies the fulfilment of the basic, elective and free components of the field determined under the program.
Course Syllabus
View the course syllabus in a new Univs tab.
Tuition & Fees
| Fee Type | Year 1 | Year 2 | Year 3 | Year 4 | Total |
|---|---|---|---|---|---|
| Academic Fees | |||||
|
Tuition Fee
|
3,900 | 3,900 | 3,900 | 3,900 | 15,600 |
|
Application Fee
|
300 | — | — | — | 300 |
| Living & Accommodation | |||||
|
General Living Expenses (Including Accommodation)
|
3,500 | 3,500 | 3,500 | 3,500 | 14,000 |
| Other Fees | |||||
|
Visa Fee
|
25 | — | — | — | 25 |
|
Residence Permit (TRC) Fee
|
100 | — | — | — | 100 |
| Grand Total | 7,825 | 7,400 | 7,400 | 7,400 | 30,025 |
No scholarships are currently available for this program.
Who Should Apply
Graduates of the Bachelor's Program in Data Science and Artificial Intelligence can find employment in both public and private sectors. They will be qualified to work as software developers, data analysts, artificial intelligence engineers, machine learning engineers, data scientists, IT specialists, network administrators, and more. They will have the opportunity to be employed in any organization where they can practically apply their
primary professional skills.
Admission Requirements
Passport, Passport-size photo, Academic transcript, Diploma / certificate
Required Documents
Career Prospects
University Accreditation & Recognition
Program Accreditation & Recognition
Program offered within Georgian National University SEU's authorized higher-education framework. Applicants should verify the current program-level accreditation status and any profession-specific recognition with the university and relevant regulator.
Students who require a visa to study at an authorized Georgian institution normally apply for a D3 immigration visa. The correct entry route depends on citizenship and legal residence, so applicants must check Georgia’s eConsul eligibility tool and the responsible embassy before applying. Students staying long term may also need a study residence permit after arrival.
Signed D3 visa application and e-application report
Valid passport
Invitation Letter
Admission letter from an authorized Georgian university
Ministry Order and Rector Order
Proof that the university and programme are authorized or accredited where requested
Proof of accommodation in Georgia
Travel and Health Insurance
Biometric photograph
Visa fee payment receipt
For applicants under 18: parental passport copies and consent letter
10-30 days
20-100
Georgian National University SEU Student Reviews
A preview of verified student reviews and source-attributed reviews about Georgian National University SEU and its programs.
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What I appreciated most was the positive atmosphere she created in class. It made learning much more comfortable and encouraged everyone to participate. Thank you, Dr. Nino, for your dedication and for making this course such a great experience. I would definitely recommend this course to other students.
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What I appreciated the most was how she connected our lessons to real-life situations. She made a maximum effort to give us practical experiences, including taking us to the hospital and even giving us the opportunity to meet one of her patients. These experiences made the subject much more interesting and helped us understand how what we learn can be applied in real life.
She explains topics clearly, cares about her students, and always tries to make the lessons more engaging. I am very grateful to have had her as my professor and truly appreciate all the effort she made for us throughout the course.
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