In the first semester, the foundations of scientific and professional activity are laid. All students study the methodology of scientific work, methods and models of artificial intelligence, as well as disciplines aimed at developing soft skills and academic communication.

International track: Special attention is paid to academic and professional English in the field of computer science, as well as higher school pedagogy and the psychology of personal resource management. Students begin to master the methods of developing AI solutions and gain basic knowledge in the field of digital law and IT project management.

Specialized track: The focus is on applied competencies: cryptocurrency market analysis, digital law and fintech, as well as basic research skills. At the same time, students develop soft skills and study modern approaches to the design of AI systems.

In the second semester, technical knowledge in the field of blockchain technologies and data analysis is deepened.

International track: Students study the basics of blockchain technologies, big data analysis for blockchain systems, as well as information security disciplines. As part of the internship (3 credits), students receive their first professional experience.

Specialized track: The program includes the study of distributed algorithms and protocols for the blockchain, the architecture of blockchain systems, as well as the application of machine learning methods in distributed registries. Specialized AI technologies adapted to work with the blockchain infrastructure are also being considered.

The third semester is aimed at developing research and applied competencies.

International track: Students work on trusted AI for blockchain systems, study information security management issues, and take software testing or information system integration modules. Within the framework of a research project (with the protection of a course project), the skills of independent scientific work are formed.

Specialized track: The main focus is on the development and security of smart contracts, as well as bioinspired search methods in blockchain systems. The development of soft skills necessary for professional interaction in the IT environment continues.

The final semester is entirely devoted to professional practice and preparation of the final qualifying work.

All students complete an internship (18 credits, 12 weeks), during which they implement projects in partner companies. This is followed by a pre-diploma internship (6 credits, 4 weeks) aimed at collecting and analyzing data for a Master thesis. The training ends with the state final attestation (GIA), which includes the defense of a Master thesis