Distributed intelligent control systems

Peter the Great St. Petersburg Polytechnic University
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2
Contract-based places
20
places on a budget basis
534 000
Cost of tuition per year

About the training program

The program prepares master's students for research and design activities in the field of next-generation control systems — control systems and networks with artificial intelligence. Students study the fundamental principles of the theory and practice of applying such systems to solve a wide range of scientific and applied problems. Special attention is given to managing complex distributed infrastructures of industrial enterprises, transport flows in megacities, airport and seaport systems, as well as autonomous mobile robots and special-purpose systems in aviation and space robotics. Special importance is attached to students' research work.

What will they teach you?

  • Применять современные средства проектирования распределенных интеллектуальных систем управления
  • Проектировать программно-аппаратные средства и комплексы интеллектуальных систем управления
  • Разрабатывать алгоритмы решения задач интеллектуальных систем управления
  • Использовать технологии обработки информации, компьютерных сетей и телекоммуникаций в проектировании интеллектуальных систем управления
  • Разрабатывать математические модели технических объектов управления
  • Применять методы нейроинформатики и нейроуправления для создания когнитивных систем
  • Использовать искусственный интеллект для принятия управляющих решений в условиях ограниченной или отсутствующей априорной информации

What do graduates do?

Employment areas for graduates: • Scientific centers developing new promising systems and technologies • Enterprises for support and maintenance of modern systems and technological complexes • Industrial enterprises and technological complexes • Companies in the field of transport flow management, airports and seaports, as well as organizations developing autonomous robots and special-purpose systems. Where graduates work: • Specialist in automated production control systems. • Computer systems developer, analyst • SCADA systems developer and other hardware and software control complexes • Research engineer

Pass score on budget

2026
97

Entrance exams

Exam 1 of 2

Russian language

Exam 2 of 2

Interdisciplinary (qualifying) examination

Our other training programs

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