Overview
The program trains robotics engineers who develop intelligent systems at the intersection of software and hardware. It is designed for graduates of technical fields and developers who want to dive deeper into robotics, AI, and industrial automation.
Students learn to create algorithms for autonomous systems, integrate AI and ML models into hardware, and design robotic platforms. The program’s main focus is hands-on practice with a modern tech stack for model training, real-world tasks from the Yandex Market service, internships, and thesis projects guided by industry mentors.
The partner of the program — Yandex.
Advantages of studying in the joint program with Yandex
- The program combines Yandex’s practical experience with Skoltech’s entrepreneurial spirit. Starting from the first year, students immerse themselves in real workflows and learn to turn ideas into fully functional solutions.
- Students tackle Yandex’s challenges related to mobile and industrial robots, participate in internships, and write theses based on real company cases — from optimizing algorithms to developing new robot modules.
- Students master cutting-edge technologies and approaches: applied use of AI/ML in hardware, designing autonomous systems, and working with modern robotics frameworks and sensors.
- Students use the same equipment and software as the company’s engineers. This allows them to immediately apply their knowledge and test solutions in real products — for example, improving algorithms for drones or creating new modules for smart factories.
The educational process is built on:
- Balance of theory and practice: Theoretical studies are tied to robotics challenges, ensuring students can work proficiently with both software and hardware
- Summer internships: Students solve real engineering problems in Yandex’s product teams, which could involve tasks like navigation, sensors, or robotic modules
- Two mentors per student: Each student is guided by two mentors: an academic one from Skoltech and a practical one from Yandex. This bridges the academic approach with solving current industry challenges
Programme Structure
Research areas:
AI and supercomputing
AI for materials design
AI-powered medical imaging
computational intelligence
computer vision
mobile robotics
mathematical foundations of AI
natural language processing
parallel algorithms for AI
generative AI
transformers in large language models
trustworthy AI
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Credits
The 2-year program comprises compulsory and recommended elective courses on the most important topics, a wide range of elective courses (depending on the student's research and professional needs), components of entrepreneurship and innovation, research activity and 8 weeks of industrial immersion.
Delivered
Campus Location
- Moscow, Russia
Disciplines
Mathematics Computer Sciences Artificial Intelligence View 10 other Masters in Computer Sciences in RussiaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Other requirements
General requirements
- Bachelor's Degree or its equivalent in Mathematics, Computer Science, Information and Communication Technology, or related disciplines.
- An online application via the form on our website and payment of the application fee.
- A motivation letter (Statement of Purpose).
- A resume (CV) detailing your education, work experience, and research activities.
- Two letters of recommendation from professors or employers relevant to your chosen program. Letters must be in English and include the recommender’s contact details (phone and/or email). Please attach copies of the originals along with the English translation if needed. Notarization is not required.
- If available: Official English test scores (e.g., TOEFL, Duolingo English Test, “Lingvotest” testing system) — unless English is the only official language of your country of citizenship.
Technological requirements
- Calculus, differential equations, linear algebra, probability theory and mathematical statistics, discrete mathematics (including graph theory and basic algorithms), programming.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Skolkovo Institute of Science and Technology (Skoltech) and/or in Russia, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents875000 RUB / year≈ 875000 RUB / year -
Domestic Applies to you
Applies to youCitizens or residentsFree
Additional Details
- Russian citizens: Tuition costs covered by Skoltech
- International students: 875,000 rubles/year (≈$11,000)
- Tuition waivers and scholarships available
Living costs
Moscow
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for AI Robotics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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