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.

Program Tracks

Students of the Bachelor’s Program in Artificial Intelligence and Data Analytics can choose one of the following two tracks:

• Artificial Intelligence – Design of intelligent systems, automation, and machine learning
• Data Analytics – Statistical modeling, big data processing, and decision analytics

A wide range of elective courses allows students to tailor their academic pathway to their individual interests and future career goals.

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.

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.

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.

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.

Supportive and Innovative Learning Environment

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.

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.

Knowledge and Understanding

• 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

• 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

• 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.

• Qualification: Bachelor of Computer Science
• Duration: 4 years / 8 semesters (240 ECTS)
• Language of Instruction: English 

Curriculum Structure

• 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.

Documents:

• Student’s passport (with a valid expiration date).
• Student’s photo 3X4..
• High School Certificate (signed and stamped)
• A Filled-out application form (make sure to mark the chosen program correctly). An applicant must download (or print) the application form and fill in the gaps. 
• Certificate of English language level B2 (or a document confirming studying in an English-language educational program for a minimum 1 year): in the absence of the language certificate, the applicant will be invited to the internal university B2 level English language test.

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.

Graduates may pursue the following industry roles:

• Data Analyst / Data Scientist
• Machine Learning Engineer
• Artificial Intelligence Specialist / Research Assistant
• Business Analyst
• Computer Vision or NLP Developer
• Data Engineer / Cloud Data Specialist
• AI Product Manager