Robotics and computer vision

Master's program

Robotics and Computer Vision



The program is developed in accordance with the best world practices applied at Massachusetts Institute of Technology, Carnegie Mellon University, Sapienza University of Rome, National University of Singapore.

The program includes a number of unique courses based on recent academic and technological research in the field of robotics, developed and taught by internationally recognized experts in the field.

The program is intended for professionals who want to explore the horizons in the field of robotics, as well as to become highly qualified professionals in the following areas:

- mechatronics, control and prototyping

- modern numerical methods for solving complex technical and optimization problems based on machine learning

- applied problems solving in the field of self-driving vehicles, industrial robotics and vision systems 

Program presentation Apply

Course information

Duration: 1 year of study + 1 year of practice
Start of studies: mid-August
Language of tuition: Russian 

The curriculum at Masters Program in Robotics is designed to cover all 3 main paradigms of robotics:

• Sensing/perception

• Thinking/planning

• Action/control

We constantly refine the curriculum by introducing the most relevant industrial and research topics, and we also offer a variety of technical electives taught by both academics (including invited foreign researchers) and industry professionals.

Project work
Most of the courses are accompanied by projects that allow students to apply the knowledge gained to real-world problems in the industry.
Science project
As a final work, students implement a real project with partner companies of the University.


Вы обучаете сотрудников сами

You may read more about curriculum here.
Learn more


Innopolis University students can study and practice in laboratories The Center for Competences of the National Technology Initiative in the field of "Robotics and Mechatronics":

— Industrial Robotics Lab

— Autonomous Transportation Systems Lab

— Laboratory of mechatronics, control and prototyping

— Laboratory of neuroscience and cognitive technologies 

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Graduates gain fundamental knowledge in the field of mechatronics, artificial intelligence and high-level control and can use it in practice. We train multidisciplinary specialists demanded in the modern industry and science:

• Programmers with good knowledge of mathematics and physics

• Electronic / mechanical engineers with programming skills

• Perception engineers (computer vision, sensor fusion, machine learning)

• Algorithm Engineers / Data Scientists with an understanding of physics and engineering

• Control and automation engineers with embedded systems programming skills

• Researchers with experience in specialized fields of robotics 

Admission campaign 23/24


partial grants available

38 USD

accommodation fee/month

from 2470 USD

tuition fee 

How to enroll?



Register in the admissions portal account, fill in an application form with all the mandatory fields, take the tests and click “SUBMIT” to complete the application.

Selection criteria at this stage:

— A technical university degree

— Expertise in physics and mathematics (entry tests)

Will be an advantage:

1. Experience in industrial robotics

2. Participation in robotics contests

3. Scientific publications in journals included in Web of science, Scopus




Successful applications are selected for further consideration. We would like to see the candidates with strong expertise in physics and mathematics, programming skills, and ability to implement them at solving practical tasks. Knowledge of robotics is not compulsory.

Selection criteria at this stage:

— Strong fundamentals in mathematics (linear algebra, mathematical analysis, differential equations, probability theory, statistics)

— Understanding of physics and its processes (mechanics)

— Programming skills (low level or/and high-level programming languages)

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Receive the scholarship offer by e-mail and confirm it. Provide all enrollment and visa documents, pay tuition fee (for Partial Scholarship candidates) and come to Innopolis in mid-August.


Admissions Committee
+7 (843) 203-92-53 (ext. 254)

Postal Address

420500 Innopolis, Russia 1, Universitetskaya Str.

Write to us

If you have any questions, leave your contacts and we will contact you

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