intelligent systems

Peter the Great St. Petersburg Polytechnic University
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15
Contract-based places
20
places on a budget basis
614 000
Cost of tuition per year

About the training program

Training in English The program prepares specialists in the development and implementation of intelligent systems based on artificial intelligence, machine learning, and data analysis. Training is conducted in English with the involvement of international teachers and industry experts. Students gain practical experience working with neural networks, computer vision, natural language processing, and cognitive technologies. Special attention is paid to interdisciplinary projects at the intersection of IT, robotics, and business analytics.

What will they teach you?

  • Разрабатывать алгоритмы машинного обучения для решения практических задач
  • Применять технологии глубокого обучения в промышленности и бизнесе
  • Работать с большими данными и когнитивными вычислениями
  • Разрабатывать интеллектуальные робототехнические системы
  • Оценивать экономическую эффективность AI-решений
  • Управлять проектами в области искусственного интеллекта
  • Внедрять этические принципы разработки AI-систем
  • Создавать системы компьютерного зрения и обработки естественного языка

What do graduates do?

Graduates are in demand in international IT companies, research centers, technology startups, and corporations implementing digital transformation. They occupy positions at the forefront of artificial intelligence technologies. Professions: • Machine Learning Engineer • Computer Vision Engineer • AI Solutions Architect • AI Project Manager

Pass score on budget

2026
97
2025
97
2024
97

Entrance exams

Exam 1 of 2

Interview

exam dates

Entrance tests can be held using remote technologies, the connection link will be available on the day of the exam.

21 April
00:00-00:00
Monday
Exam 2 of 2

Interdisciplinary (Qualification) Examination

exam dates

Entrance tests can be held using remote technologies, the connection link will be available on the day of the exam.

21 April
00:00-00:00
Monday

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