AI & Data Analytics
Program Overview
AI & Data Analytics at Alte University 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
Foundational and advanced study in AI & Data Analytics, supported by research methods, electives, applied assignments, and a final project or thesis.
Explain core concepts of computer science, including programming, algorithms, data structures, and discrete mathematics, and understand their application in artificial intelligence and data analytics. Understand mathematical and logical methods, including calculus and discrete mathematics, for analyzing and solving computational problems. Describe the theoretical foundations and practical applications of artificial intelligence, machine learning, and statistical modeling. Skills Graduates: Use programming languages, data analysis tools, and AI frameworks to design, develop, and evaluate intelligent systems and data-driven solutions. Process complex datasets to identify meaningful patterns and support decision-making processes. Identify and solve real-world problems using computational, algorithmic, and data-driven approaches in interdisciplinary contexts. Communicate technical concepts effectively, both orally and in writing, and collaborate in diverse teams to manage and implement AI or data analytics projects. Responsibility and Autonomy Graduates: Demonstrate ethical and socially responsible behavior in data processing, AI system development, and technology use in various social contexts. Engage in independent learning and continuous professional development by keeping up with evolving technologies and best practices in artificial intelligence and data analytics. Show independence and accountability in both individual and team-based activities through effective time and resource management.
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
Foundation Block (30 ECTS): Digital literacy, STEM fundamentals, and academic writing. Core and Professional Orientation Block (120 ECTS): Core courses in mathematics, programming, databases, computer networks, and computer systems. Specialization Track (90 ECTS): Advanced studies in either Artificial Intelligence or Data Analytics.
Tuition & Fees
| Fee Type | Year 1 | Year 2 | Year 3 | Year 4 | Total |
|---|---|---|---|---|---|
| Academic Fees | |||||
|
Tuition Fee
|
3,950 | 3,950 | 3,950 | 3,950 | 15,800 |
|
Application Fee
Institute-wide · one-time payment
|
200 | — | — | — | 200 |
| Grand Total | 4,150 | 3,950 | 3,950 | 3,950 | 16,000 |
No scholarships are currently available for this program.
Who Should Apply
Within the program, students study the most in-demand fields of modern technology, including artificial intelligence, data analytics, machine learning, object oriented programming, elements of 3D graphics, deep learning, game development, and related subjects.
Admission Requirements
Passport, Passport-size photo, Academic transcript, Diploma / certificate
Required Documents
Career Prospects
Data Analyst Data Scientist Business Intelligence Analyst AI Researcher Predictive Analytics Specialist Data Visualization Specialist Cloud Data Engineer Technology Consultant Business Analyst Big Data Specialist
University Accreditation & Recognition
Program Accreditation & Recognition
Program offered within Alte University'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.
General Information
Within the program, students study the most in-demand fields of modern technology, including artificial intelligence, data analytics, machine learning, object oriented programming, elements of 3D graphics, deep learning, game development, and related subjects.
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 or travel document
Proof of legal residence in the country of application where required
Admission letter from an authorized Georgian university
Georgian Ministry of Education acceptance or enrolment order where required
Proof that the university and programme are authorized or accredited where requested
Proof of financial means such as a support letter or recent bank statements
Proof of accommodation in Georgia
Travel and health insurance covering the visa period
Biometric photograph
Visa fee payment receipt
Any entry permit or additional evidence required by the responsible Georgian consulate
For applicants under 18: parental passport copies and consent letter
10-30 days
20-100
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