Translation. Region: Russian Federal
Source: Novosibirsk State University –
An important disclaimer is at the bottom of this article.
Starting in the 2025/2026 academic year, Novosibirsk State University will launch training aimed at preparing highly qualified specialists in the field of applied artificial intelligence for the innovative economy. Students of the new program will write their own neural networks, master and develop new methods and technologies in the field of applied programming, as well as collect, process and analyze their own data sets. In the future, graduates will create products based on deep machine learning and apply the acquired knowledge in various fields of activity – from the banking sector and various high-tech companies to personalized medicine. The training of top specialists is carried out on the initiative of the Ministry of Digital Development of the Russian Federation with the participation of the Analytical Center under the Government of the Russian Federation.
These programs are based on modern employer requirements for highly qualified specialists, determined with the participation of dozens of Russian companies – leaders in the IT sector and leading universities.
The training will be focused primarily on practical results. From the first years, students will be involved in solving product problems of IT business, will be able to study cases and experience of the industry, participate in the work of project teams, master classes, undergo practical training and mandatory internship in leading IT companies and research institutes.
Companies invest in the development and implementation of programs with their own resources. More than 30% of all classroom classes with students will be conducted by invited experts from the industry, leading developers, engineers and researchers. Business representatives will act as mentors for students, become conductors of advanced knowledge, trends in the development of domestic IT technologies, help students get acquainted with corporate culture and real requirements for employees.
Training in close cooperation with industry partners and IT companies, including the anchor partner, one of the leaders of the Russian IT market — the multidisciplinary IT holding T1, as well as the Russian developer of operating systems "Alt", will not only prepare graduates for a successful professional start, but also give them the opportunity to apply for leading positions in large industry and technology companies. The knowledge and practical experience gained with modern AI solutions will provide students with subsequent rapid career growth.
More information about the Applied Artificial Intelligence program presented on the website
All details about admission to the program and deadlines for submitting documents can be clarified in the NSU IIR consulting group:
7 (383) 373-96-52
Consult@nsu.ru
VK group
Reference:
Since 2025, within the framework of the federal projects "Artificial Intelligence" and "Personnel for Digital Transformation" of the national project "Data Economy and Digital Transformation of the State", the Ministry of Digital Development of the Russian Federation, with the participation of the Analytical Center under the Government of the Russian Federation, has been implementing two projects to train students in educational programs for top specialists in the field of information technology and artificial intelligence.
The projects provide training for graduates with advanced competencies in the field of information technology and artificial intelligence: developers of advanced IT solutions, AI models, algorithms, analysts and data researchers. The key condition for the participation of universities in the projects is the active involvement of employers in the training process, including attracting co-financing from businesses.
Within the framework of these projects, in 2025, 36 universities from 20 constituent entities of the Russian Federation will accept more than 6 thousand students for training. By 2030, 13.7 thousand students will complete their training.
Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.
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