Intelligent Systems

Overview

Intelligent students choose the Intelligent Systems course!

Intelligent Systems program at Peter the Great St. Petersburg Polytechnic University (SPbPU) joins different scientific areas and modern trends of technology development in IT, cyber-physical systems, applied tasks of industrial automation, robotics and control.

MSc program Intelligent Systems continues to efficiently implement distance learning technologies in educational process. Students from all over the world can get access to unique laboratory equipment and work on their own research project, develop intelligent control systems and implement it. SPbPU continues active cooperation with partner universities that allows to realize double degree option for the students.

University provides online services that are necessary for studying – students from anywhere in the world get access to necessary software, materials and library resources.

Career Opportunities

Graduates will have great opportunities of to be employed in Russian and international engineering and automation companies as well as to continue their education in international PhD program. The Program is carried out in cooperation with leading Russian and international companies (Siemens, SAP, General Motors, Festo Didactic) and branches of the Russian Academy of Sciences in arranging internships, project activities and employment assistance.

Two degrees in two years

Students can choose individual track option and continue second year in one of the European partner-universities and get Master’s degree in Information Science and Computer Engineering (SPbPU) and MSc in Computer and Information Engineering (UK) or MSc in Mechatronics (Germany) or MSc in Computational Engineering and Technical Physics (Finland)

Master’s thesis topics:

• Machine learning algorithms for materials pattern recognition
• Developing of digital twins architecture for SPbPU-Festo «Synergy» Centre
• Intelligent navigation system of mobile robot 
• Machine learning methods for defect image analysis in manufacturing
• Visual monitoring of product quality based on convolutional neural network
• Development of robot hand control algorithms for industrial applications
• Development of elements of quality industrial control systems over IP-based sensor networks
• Trajectory planning for quadcopter control system using visual processing

Program Partners

• City University London (UK)

• Leibniz Universität Hannover (Germany)

• Lappeenranta-Lahti University of Technology (Finland)

• Siemens AG

• SAP AG

• Schneider Electric

• Festo