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
Programme Structure
Modules include:
- Digital resources in scientific research
- Foreign language in professional communication
- Methods of optimization and decision making theory
- Intelligent Systems
- Software development technologies
- Neuroinformatics and Neurotechnologies
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
- August 01 – for applicants from countries with visa regime
- August 20 – for applicants from visa-free countries
Language
Credits
Delivered
Disciplines
General Engineering & Technology Robotics Machine Learning View 5 other Masters in Robotics in RussiaAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Bachelor’s, Specialist’s or Master’s degree in a relevant area is required
- English language proficiency - B+ (CEFR B2)
- Exam Test in a relevant field of studies
- Interview in English with a program coordinator (Skype option is available)
Tuition Fee
-
International
4961 EUR/yearTuition FeeBased on the tuition of 4961 EUR per year during 24 months. -
National
4961 EUR/yearTuition FeeBased on the tuition of 4961 EUR per year during 24 months.
- 367 800 Rubles
Living costs for Saint Petersburg
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.