- About
- About
On May 14 at 4 p.m. (GMT +3, MSK) we will hold the Open Doors in Telecom & IT.
Master's degree: Artificial Intelligence and Machine Learning, Next Generation Communication Technologies, AI Robotics, Artificial Intelligence and Financial Technologies, Applied Computational Mechanics, Advanced Computational Science, Applied Photonics and Optical Information Systems, Technology Entrepreneurship and Innovative Business Development
PhD: Computational and Data Science and Engineering, Mathematics and Mechanics (Computational Mechanics track)
Together with Skoltech professors, we will explore cutting-edge developments in artificial intelligence and machine learning, advanced computational methods, AI-driven robotics, financial technologies, next-generation communication systems, applied computational mechanics, and photonics for modern information systems. Additionally, representatives of the Admissions team will help you understand the selection process and tell you how to prepare all the admissions documents.
Furthermore, you will have the opportunity to take a tour around campus and visit our modern laboratories, where you can see how AI developments are applied in practice. This is a great chance to experience first-hand the scientific and educational atmosphere of our institute, talk to professors and students, and get answers to any questions you may have.
Registration is required.
Master's degree: Artificial Intelligence and Machine Learning, Next Generation Communication Technologies, AI Robotics, Artificial Intelligence and Financial Technologies, Applied Computational Mechanics, Advanced Computational Science, Applied Photonics and Optical Information Systems, Technology Entrepreneurship and Innovative Business Development
PhD: Computational and Data Science and Engineering, Mathematics and Mechanics (Computational Mechanics track)
Together with Skoltech professors, we will explore cutting-edge developments in artificial intelligence and machine learning, advanced computational methods, AI-driven robotics, financial technologies, next-generation communication systems, applied computational mechanics, and photonics for modern information systems. Additionally, representatives of the Admissions team will help you understand the selection process and tell you how to prepare all the admissions documents.
Furthermore, you will have the opportunity to take a tour around campus and visit our modern laboratories, where you can see how AI developments are applied in practice. This is a great chance to experience first-hand the scientific and educational atmosphere of our institute, talk to professors and students, and get answers to any questions you may have.
Registration is required.
Please note that the event will be held only in offline format. There will be no recording or live broadcast.
- Programs
- Programs
Data scientists are already among the most demanded specialists in the hi-tech market. The goal of this program is to equip the most talented young scientists with high-level knowledge and experience in machine learning, deep learning, computer vision, industrial data analytics, natural language processing, mathematical modelling, and other important areas of modern data science.
Program specialized on teaching framework of IoT paradigm and Next Generation Wireless Technologies (5G, 6G), using latest facilities for research including 5G Skolkovo test zone.
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.
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.
A joint program of Skoltech, NES and Sber, combining advanced knowledge in the field of AI and practical experience in finance. You will master modern machine learning models, large language models, and learn how to effectively use AI in financial applications.
The program offers a modern curriculum to prepare students in areas such as fluid and solid mechanics, mathematical and numerical modeling in continuum mechanics, including the use of modern methods of machine learning and artificial intelligence (AI), modeling of multiphase and reacting flows, and high-performance computing. Graduates will become leaders in the development and application of modern mathematical methods and computational tools required by high-tech industries.
Modern science and engineering critically rely on efficient and fast computational techniques and models. ACS program achieves the synergy of state-of-the-art mathematical modeling methods (numerical ODE and PDE, stochastic modeling, machine learning and Big data-based approaches) and their implementation with modern high performance parallel computational facilities furnished with up-to-date software.
The program combines fundamental knowledge in the field of optics with the study of the principles of operation and methods of creating modern photonic systems, as well as general engineering methods of design, numerical modeling, and practical development of optoelectronic devices.
The dual-degree offline program uses a network format, with two-thirds of the training provided at MIPT (the lead organization) and one-third at Skoltech. This helps train professionals in basic and applied research who can implement commercially viable technology projects that ensure quick payback and attract strategic investment.
The Computational and Data Science and Engineering is one of the most successful PhD programs at Skoltech. Our PhD students publish numerous papers in high-rank Q1/Q2 journals and present the results of their work at reputable international conferences.
The aim of “Computational Mechanics” track in Skoltech Mathematics and Mechanics PhD program is to train researchers in the field of computational mechanics with the focus on fluid mechanics, multiphase flows, combustion and reacting flows, aerodynamics and gasdynamics, computational methods of mechanics, applied mathematical modeling, computational engineering, and data-driven modeling in mechanics.
- Schedule
- Schedule
16:00 – 16:30
Registration
16:30 – 16:50
Welcome speech, presentation about Skoltech, application and selection process
16:50 – 18:30
Programs presentation
18:30 – 20:30
Tour around campus and labs
20:30 – 21:00
Coffee & networking (chance to informally chat with programs and admissions representatives, and with current students)
Registration
16:30 – 16:50
Welcome speech, presentation about Skoltech, application and selection process
16:50 – 18:30
Programs presentation
18:30 – 20:30
Tour around campus and labs
20:30 – 21:00
Coffee & networking (chance to informally chat with programs and admissions representatives, and with current students)
- Skoltech
- Skoltech
We are Skoltech – a new international English-speaking STEM university that was founded by the group of world-renowned scientists in 2011 in Moscow, Russia. In just 8 years, we united dozens of researchers and globally renowned professors, built a stunning campus, set up world-class labs and made it to the top 100 young universities in the Nature Index. The application period is now open.
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MSc: 2 years (full-time)
PhD 3–4 years (full-time) -
Certified international diploma (English-speaking degree) -
Independent student research, entrepreneurship & innovation courses, industry immersion
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Date and time:
May 14, 4 p.m. (GMT +3) -
Location:
Moscow, Skolkovo IC,
Bolshoi blvd, 30 bld.1
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Have questions?
Contact us admissions@skoltech.ru
Telegram: @Skoltech_Admissions
- Registration
- Registration
- How to get to Skoltech
- How to get to Skoltech
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By public transport:
Take the MCD-1 to Skolkovo station. Exit through the Orbion shopping center, following the signs to the Skolkovo Innovation Center. On the street near the station exit, switch to the Sk1 bus (the display should indicate towards TMK). Ride to the Matrex stop
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By car:
Skoltech is located on the territory of Skolkovo, there are entrances from Skolkovskoje and Minsk/Mozhaiskoe highway. There are paid rates on the territory: parking from 51 minutes — 250 rubles/hour for all categories. You can park inside Skolkovo at intercept parking lots and along Bolshoy Boulevard.
There is free parking outside Skolkovo near Skoltech.The nearest parking to Skoltech is at the Tri Kita shopping center. -
By taxi:
To get to Skoltech, a taxi driver will need to enter the Skolkovo territory. Starting from January 2025, for taxi, if there is an active order, entry and stay in Skolkovo for 60 minutes is free of charge. Entry and exit is carried out through any checkpoint. Address for ordering a taxi: Bolshoy Boulevard, 30 bld.1