Bachelors Program

Information Technology

Artificial Intelligence and Data Analytics (GEO) Program

Artificial Intelligence and Data Analytics (GEO)

&nbsp;Qualification: Bachelor of Computer ScienceDuration: 3 years / 180 ECTSLanguage of Instruction: Georgian

Program Structure

Admission for citizens of Georgia is conducted on the basis of passing the Unified National Examinations, as well as in accordance with other procedures established by the legislation of Georgia. &nbsp;Entrance requirements: Applicants must demonstrate English language competence by achieving at least 50% + 1 on the English language component of the Unified National Examinations.Annual tuition fee for Georgian students: GEL 2,950

Admission Rules

Graduates having a Bachelor’s degree in Artificial Intelligence and Data Analytics are prepared for competitive and high-paying professional positions across various sectors, including technology, finance, healthcare, logistics, and public administration. &nbsp;<h3>Graduates may pursue the following industry roles: &nbsp;</h3><ul><li>Data Analyst / Data Scientist</li><li>Machine Learning Engineer</li><li>Artificial Intelligence Specialist / Research Assistant</li><li>Business Analyst</li><li>Computer Vision or NLP Developer</li><li>Data Engineer / Cloud Data Specialist</li><li>AI Product Manager</li></ul>

Employment Opportunities

&nbsp;Email: <a rel="nofollow noopener" target="_blank" href="mailto:ITschool@alte.edu.ge">ITschool@alte.edu.ge</a> Phone: +995 32 240 29 46 / 48&nbsp;Please follow the link below and: fill out a <a rel="nofollow noopener" target="_blank" href="https://forms.office.com/pages/responsepage.aspx?id=mXx1gcqE8Ui4kVed91pA_LxMKOhsFGpMuU0luvxnU2dUQUZOR0NIQzFYQ1lWVVg4UzlXUDJUNDNIUCQlQCN0PWcu&amp;route=shorturlhttps://forms.office.com/pages/responsepage.aspx?id=mXx1gcqE8Ui4kVed91pA_LxMKOhsFGpMuU0luvxnU2dUQUZOR0NIQzFYQ1lWVVg4UzlXUDJUNDNIUCQlQCN0PWcu&amp;route=shorturl">registration form</a> to be interviewed by a university representative.

Contact Information

Will students be able to participate in exchange programs? Students of Alte University’s Bachelor’s Program in Computer Science have the opportunity to participate in exchange programs offered by leading partner universities across Europe, Asia, and the Caucasus region, including CESI Graduate School of Engineering, Ibmec Educacional, Vilnius University of Applied Sciences (VIKO), Technical University of Liberec, and others.&nbsp;Are there any tuition funding mechanisms at Alte University?&nbsp;Yes, Alte University offers a range of tuition funding opportunities, including:&nbsp;<ul><li>Applicants ranking in the Top 1000 of the Unified National Examinations who select Alte University as their first priority receive a 100% tuition scholarship.</li><li>Gold and Silver medal holders who choose Alte University as their first priority receive a 50% tuition scholarship.</li><li>The top 10 admitted students to the Medicine program receive a 100% tuition scholarship funded by “VIAN.”</li><li>Winners of the National Olympiad who enroll in Computer Science, Artificial Intelligence, or Business programs receive a 100% tuition scholarship.</li><li>Applicants to Business, Computer Science, and Artificial Intelligence programs who achieve at least 60% of the maximum score in elective subjects (Physics or Mathematics) are awarded a 100% tuition scholarship.</li><li>Dean’s Grants are awarded for academic excellence at 100%, 50%, or 30%.</li></ul>&nbsp;Under what conditions does a student receive a Dean’s Grant?&nbsp;Bachelor’s and Master’s students who rank among the top five academically performing students in their school and actively participate in research, cultural, and other university initiatives are eligible for the Dean’s Grant.Depending on academic performance, recipients may receive tuition coverage of 100%, 50%, or 30%.For detailed information, please refer to the provided <a href="https://alte.edu.ge/api/storage/file/au4xEQ3RLj.pdf">link</a>.

The Bachelor’s Program in Artificial Intelligence and Data Analytics at Alte University focuses on education in computer science, artificial intelligence, and data science. The program prepares students to plan and implement transformative and innovative digital projects across various industries. Courses based on modern teaching methodologies - including artificial intelligence, machine learning, and neural networks - ensure graduates are prepared to address current technological challenges as well as future innovations &nbsp;<h2>Program Tracks &nbsp;</h2>Students of the Bachelor’s Program in Artificial Intelligence and Data Analytics can choose one of the following two tracks: &nbsp;<ul><li>Artificial Intelligence – Design of intelligent systems, automation, and machine learning</li><li>Data Analytics – Statistical modeling, big data processing, and decision analytics &nbsp;</li></ul>A wide range of elective courses allows students to tailor their academic pathway to their individual interests and future career goals. &nbsp;The program is delivered by a team of professors, researchers, and industry professionals with extensive experience in artificial intelligence, data science, and software engineering. Continuous collaboration with the private technology sector ensures alignment of the curriculum with current industry standards and labor market demands.&nbsp;<h2>Teaching Methods &nbsp;</h2>The program applies diverse and modern teaching methods, including lectures, group work, discussions, presentations, case studies, brainstorming, practical sessions, problem-based learning (PBL), inductive and deductive methods, analysis and synthesis, laboratory work, role-playing, simulation-based learning, and learning by doing.&nbsp;<h2>Courses &nbsp;</h2>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.&nbsp;<ul><li><h2>Practice-Oriented Learning Environment &nbsp;</h2></li></ul>Throughout the program, students participate in laboratory work, develop data-driven projects, and complete professional internships at partner organizations. The strong focus on project-based learning connects theoretical knowledge with practical application, increasing graduates’ competitiveness in the global job market.&nbsp;<ul><li><h2>Supportive and Innovative Learning Environment &nbsp;</h2></li></ul>Through Alte University’s Innovation and Entrepreneurship Center, students gain access to startup programs and an innovation ecosystem. With the support of professional mentors, they can develop and implement their own technological ideas.&nbsp;<h2>International Opportunities and Integrated Certification-Based Courses &nbsp;</h2>In cooperation with AWS (Amazon Web Services), Cisco, and SAP Academies, students have the opportunity to earn internationally recognized certifications. These certifications enhance employability and career readiness at both local and international levels.&nbsp;<h2>Learning Outcomes &nbsp;</h2><h4>Knowledge and Understanding &nbsp;</h4>Graduates:<ul><li>Explain core concepts of computer science, including programming, algorithms, data structures, and discrete mathematics, and understand their application in artificial intelligence and data analytics.</li><li>Understand mathematical and logical methods, including calculus and discrete mathematics, for analyzing and solving computational problems.</li><li>Describe the theoretical foundations and practical applications of artificial intelligence, machine learning, and statistical modeling. &nbsp;</li></ul><h4>Skills &nbsp;</h4>Graduates:<ul><li>Use programming languages, data analysis tools, and AI frameworks to design, develop, and evaluate intelligent systems and data-driven solutions.</li><li>Process complex datasets to identify meaningful patterns and support decision-making processes.</li><li>Identify and solve real-world problems using computational, algorithmic, and data-driven approaches in interdisciplinary contexts.</li><li>Communicate technical concepts effectively, both orally and in writing, and collaborate in diverse teams to manage and implement AI or data analytics projects. &nbsp;</li></ul><h4>Responsibility and Autonomy &nbsp;</h4>Graduates:<ul><li>Demonstrate ethical and socially responsible behavior in data processing, AI system development, and technology use in various social contexts.</li><li>Engage in independent learning and continuous professional development by keeping up with evolving technologies and best practices in artificial intelligence and data analytics.</li><li>Show independence and accountability in both individual and team-based activities through effective time and resource management. &nbsp;</li></ul>

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