Graduates will have the ability to perform professional tasks in the field of artificial intelligence, such as data analysis, intelligent decision-making, and the creation of artificial intelligence and machine learning models. They will be able to use programming languages, data structures, and core artificial intelligence technologies—including machine learning, reinforcement learning, natural language processing, and computer vision. Students will develop critical thinking and technical communication skills, work in a team environment, and complete real-world project-based tasks while adhering to ethical and professional standards. The program provides both theoretical and practical foundations for continuing master's studies in artificial intelligence, data science, and software engineering.

• Lecture-seminars;
• Demonstration method;
• News analysis;
• Practical work;
• Laboratory work;
• Presentations;
• Teamwork;
• Critical analysis;
• Literature review;
• Method of working with books;
• Searching for relevant materials in electronic format or in the library;

To obtain a bachelor's degree, a student must earn 240 ECTS, which include:

138 ECTS from the core subjects of the program (including the Bachelor's project 12 ECTS);

84 ECTS from the elective subjects of the program;

6 ECTS from the university's elective STEM block;

12 ECTS from the university's elective humanitarian-social block.