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INTERNET
OF THINGS
& NEXT GEN WIRELESS TECHNOLOGY
Educational track in the "Information Science & Technology" MSc program, CDISE
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Master's program:
2 years (full-time)
Tuition:
no tuition fees for those who successfully pass the selection
Student pack:
monthly stipend (from
40 000 RUB), medical insurance
Apply:
applications for the next selection wave are accepted until February 14
The IoT & Next Generation Wireless Technology track develops the multidisciplinary skills required in the IoT industry. It makes a special emphasis on developing hands-on skills in the areas of IoT and the state-of-the-art Wireless Technologies (5G, 6G) which is highly relevant to the emerging field of Industry 4.0 and Next-Gen Mobile Communications. Track graduates will gain knowledge and engineering skills in sensing, data processing and communication.
Andrey Somov
Assistant Professor at the Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE), Deputy Head of the Center of Excellence NTI "Wireless Communication Technologies and IoT"
Why this track?
In the last decade, the Internet of Things (IoT) paradigm and Wireless Technologies (5G, 6G) have been increasingly conquering the minds of researchers and engineers. The idea of the IoT consists not only in providing the objects with the infrastructure for physical communication and data storage, but also in exchanging the data which can be (re)used by other (heterogeneous) objects and, therefore, making possible the development of new or already existing application with more potentialities.
Сonstruct IoT real applications and improve them through the use of smart technologies and leverage on sensed data
Deliver an IoT-based product from scratch, 'pitch and sell' it

Become a developer of next-gen wireless communication protocols and solutions, such as 6G and beyond
Devise solutions for industrial cases (transport, healthcare, agriculture etc.) using IoT
Main research areas and research groups:
Research areas:

  • Next Generation Communications
  • Coding theory and Digital Signal Processing
  • ML methods in communications
  • Industrial IoT and industrial data processing
  • Sensing and actuation in environmental/industrial/biomedical applications
  • Wearable sensing and wireless sensor networks
  • Embedded AI
  • Post-quantum (code-based) cryptography
  • Information Protection in Computer Systems and Networks
Research groups:

    Program outcomes
    What I like the most about IoT track is the quality of the courses and the skills I have developed so far. My favorite topics are those related to my background in telecommunications and electronics, such as Digital Signal Processing and Communication Technologies courses. I think that being part of this program and track has helped me to develop practical skills and to become aware of the newest technologies of the field.
    Yoel Gomez Collado
    Current student, MSc in Information Science & Technology, IoT Track
    The 2-year program comprises of compulsory and recommended elective courses on the most important topics, a wide set of elective courses (depending on the research and professional needs of the student), components of entrepreneurship and innovation, research activity and 8 weeks of industry immersion.

    Graduates of the program will be able to:
    Design IoT products using various hardware and software
    Solve data science problems using modern machine learning techniques
    Devise solutions for industrial cases (transport, healthcare, agriculture etc.) using IoT
    Design and deploy telecommunication networks for IoT use cases
    Use sensors, sensing technologies, and embedded systems in the context of IoT
    Apply the theory behind the IoT to construct real applications and improve them through the use of smart technologies
    This track is also available in a network form with TUSUR (Tomsk), SUAI (St. Petersburg) and Bauman MSTU (Moscow).
    Faculty
    You will learn from professors and experts of the practice, whose expertise is valued in academia and industry across the world:
    Nikolai Brilliantov
    Full Professor
    Dmitry Lakontsev
    PhD, Director of the Project Center for Next Generation Wireless and IoT, Associate Professor of the Practice
    Maxim Panov
    Program Coordinator
    Вице-президент по науке и академическому сотрудничеству
    Старший научный сотрудник
    Профессор
    Доцент
    Профессор
    Старший научный сотрудник
    Старший Преподаватель
    Senior Research Scientist
    Professor
    How to apply
    Internet of Things is a multidisciplinary area of study. This track will be great for graduates with the following qualifications:
    Education: Bachelor's degree or its equivalent in Physics, Mechanics, Material Science, Engineering, or Applied Mathematics.
    Skills: Calculus, Discrete mathematics, Linear algebra, Probability and Statistics, Optimization, Programming (C/C++, MATLAB, Python). High level of English proficiency.
    In order to be admitted to the IoT & Next Generation Wireless Technology track, applicants will need to apply to the Information Science & Technology Master's program at Skoltech. All application stages can be completed online except for the final in-person interview:
    1
    Apply
    Familiarize yourself with the list of required supporting documents, upload them into the application system as they become ready. Then, submit your final application between January and July 2021.
    2
    Online test
    Every candidate must take an online subject test. You will be notified by email about the specific date and time of your test after you submit your application.
    3
    Selection Days
    The final admission stage will take place online. You will need to pass a face-to-face interview, a soft skills challenge and an online Math exam.
    4
    Admission decision
    1-2 weeks after the Selection days, you should receive an email about your admission decision.
    Application
    Great choice! Click the button below to start preparing your application to Skoltech. We will send you an email with all the necessary information.
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