MSc in Information Systems and Technology
Skolkovo Institute of Science and Technology

Energy Systems

5.0 ausgezeichnet 4 Meinungen
Skolkovo Institute of Science and Technology
In Moscow (Russia)

Preis auf Anfrage

Wichtige informationen

Tipologie Master
Ort Moscow (Russia)
Dauer 2
Beginn September 2019
  • Master
  • Moscow (Russia)
  • Dauer:
  • Beginn:
    September 2019

Tuition fees: no tuition fee for the applicants who pass the selection process!

The future of the global power industry is inconceivable without modern IT solutions in energy system design and control. We combine in-depth IT training (computation, modeling, data analysis) and thorough study of basic engineering approaches to cultivate future industry leaders.

General submission deadlines:
1) February 3, 2019
2) March 17, 2019
3) April 21, 2019
4) June 05, 2019
5) July 16, 2019

Wichtige informationen
Welche Ziele verfolgt der Kurs?

- learn to formulate or model real-world problems using the language of modern theoretical engineering, solve them using the techniques from applied statistics, physics and mathematics and control;
- develop or adapt mathematical and computational methods to solve real-world engineering and network problems;
- gain full visibility into the energy sector, its structure, systems, equipment, potential challenges, issues, and solutions;
- acquire knowledge and skills for conducting research in the area of day-to-day control and planning of electricity, gas, heat, bulk power supply and distribution systems;
- gain broad research experience working for diverse teams and doing an internship with the industry's leading companies and labs (increasing the chances of a good job offer).

Voraussetzungen: - Knowledge and skills: Linear algebra, Basic probability, Programming, General Physics (mechanics, electro-magnetism, thermodynamics). High level of English proficiency. - Education: Bachelor Degree in Engineering (Electric or Mechanical), or Bachelor Degree in Mathematics, Computer Science or Physics. - English Language: If your education has not been conducted in English, you will be expected to demonstrate evidence of an adequate level of English proficiency.

Einrichtungen (1)
Wo und wann
Beginn Lage
Nobelya Ulitsa 3 Moscow, Russia 121205, 121205, Moscow and Moscow Region, Russia
Karte ansehen
Beginn Sep-2019
Nobelya Ulitsa 3 Moscow, Russia 121205, 121205, Moscow and Moscow Region, Russia
Karte ansehen


Empfehlung der User

Meinungen über diesen Kurs

Das Beste: The university is excellent and so is teachers and staffs.
Zu verbessern: -
Kurs abgeschlossen: August 2018
Würden Sie diesen Bildungsanbieter weiterempfehlen?: Ja
Helena Nadj
Das Beste: At Skoltech you need to be disciplined in order to become high demand professional. The people are involved in such different projects.
Zu verbessern: -
Kurs abgeschlossen: Oktober 2018
Würden Sie diesen Bildungsanbieter weiterempfehlen?: Ja
Maksim Parshin
Das Beste: Skoltech can give you an opportunity to make all your scientific ideas come true, in case, if you want it. If you want to be a part of the future science in Russia, Skoltech is your choice.
Zu verbessern: Nothing to improve
Kurs abgeschlossen: November 2018
Würden Sie diesen Bildungsanbieter weiterempfehlen?: Ja
*Erhaltene Meinungen durch Emagister & iAgora

Was lernen Sie in diesem Kurs?

Systems Engineering Management
Engineering Science
Engineering Skills
Energy Management
Energy Efficiency
Engineering Mathematics
Engineering Management
Energy Flow Computation
Power Physics
Energy Systems
Power systems
Data science
Energy conversion
Power Markets


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.
Compulsory and Recommended elective courses (36 credits)
Compulsory courses:
  • Fundamentals of Power Systems
  • Energy Systems Physics & Engineering

Recommended Electives:
  • Mathematics for Engineers
  • Introduction to Data Science
  • Introduction to IoT
  • Optimization Methods
  • Power Electronics
  • Non-Equilibrium Processes in Energy Conversion
  • Energy Efficient Microclimate Control
  • Smart Grids
  • Power Markets and Regulations
  • Electrochemistry: Fundamentals to Applications
  • Thermal Fluid Sciences
  • Sensors and Embedded Systems for IoT
  • Experimental Data Processing
  • Introduction to Blockchain
  • Digital Signal Processing
  • Machine Learning

Elective Courses (24 credits)
Entrepreneurship and Innovation (12 credits)
  • Innovation Workshop
  • Ideas to Impact
  • Leadership for Innovators
  • Business Communication
  • Thinking Disruptive for a Big Future
  • Biomedical Innovation and Entrepreneurship
  • Intellectual Property and Technological Innovation
  • New Product Design: from Idea to Market Launch
  • Management of Research & Development
  • Technology Entrepreneurship

Research and MSс thesis project (36 credits)