Translartion. Region: Russians Fedetion –
Source: Novosibirsk State University – Novosibirsk State University –
In February 2025, EhFaculty of Economics, Novosibirsk State University The course “Product Management” was launched. Its participants were final-year undergraduate students in the fields of “Business Informatics”, “Management” and “Economics”. This is the first course in Russia on such a topic, which pays special attention to the use of artificial intelligence. 60 students have already completed the course.
— Product management is a relatively new discipline that emerged in the 21st century in the Silicon Valley startup environment. In Russia, it has only begun to gain popularity in the last ten years. Until recently, such courses were only available at the Higher School of Economics, ITMO University, and the Moscow branch of RANEPA. NSU was one of the first universities to introduce a full-fledged course on this topic, and the first to include a block on the use of artificial intelligence, — said Alexander Doronin, author of the course, NSU graduate, product manager at LC Group, a company specializing in the development of fintech solutions.
The object of study of the discipline is primarily IT products – solutions created on the basis of program code. Today, digital products play a key role in both online and offline business. Their development, integration into business processes and promotion on the market require a comprehensive approach, and understanding these processes is becoming an important competitive advantage for specialists of various profiles.
The course program covers key aspects of product management, including product marketing, product research, A/B testing, and unit economics. Particular attention is paid to the use of artificial intelligence: individual classes are devoted to the use of large language models and other machine learning technologies in product development, which is an important difference between the course and other similar ones that already exist in Russia.
— As part of one of the classes, my students and I went through the entire product research cycle and tried using AI at different stages. As a result, the students developed an understanding of the tasks in which AI is really useful, and which tasks are better solved independently for now. For example, at the stage of preparation for the study, AI can help in composing questions for a problem interview if the prompt (request for the neural network) describes the respondent’s portrait well. When conducting the interviews themselves, you shouldn’t count on AI: most often, AI plays along with the interlocutor, agrees with everything and gives extremely expected answers to questions. An interview with a live interlocutor allows you to collect much more insights. After the interview, AI can be useful for systematizing the results. For example, as part of the course, my students and I built a User Story Map, and the AI did an excellent job of writing the stories themselves, receiving the interview results as input, — explained Alexander Doronin.
Another key advantage of the course is that it combines a systematic presentation of theory and many practical cases, including those from the author’s experience. Alexander Doronin has experience working with product teams both on the customer’s side and on the development side. The practical experience of the teacher allowed him to fill the course with real cases and tasks that specialists face in the market.
The course duration is 16 pairs (32 classroom hours). As part of the course, students also complete a project assignment, which they will defend at the end of the semester in a differentiated test. Thus, taking into account independent practice, the course volume is 108 hours. So far, it is designed only for students of the Faculty of Economics. However, NSU does not rule out that in the future the course may be introduced in other faculties of the university.
Please note: This information is raw content directly from the source of the information. It is exactly what the source states and does not reflect the position of MIL-OSI or its clients.