Skolkovo Institute of Science and Technology

Information Science and Technology

5.0 eccellente 2 opinioni
Skolkovo Institute of Science and Technology
A Moscow (Russia)
  • Skolkovo Institute of Science and Technology

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Informazioni importanti

Tipologia Master
Luogo Moscow (Russia)
Durata 2
Inizio Settembre 2019
  • Master
  • Moscow (Russia)
  • Durata:
    2
  • Inizio:
    Settembre 2019
Descrizione

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

Be ready to be one of the technological leaders of the future with this Master of Information Science and Technology, offered by Skolkovo Institute of Science and Technology, that Emagister.co.uk has added to its educational catalogue.

The objective of the Computational Science and Engineering MSc program is to bridge the gap between fundamental science and cutting edge computational techniques.

It makes a special emphasis on developing the hands-on skills in the areas of High Performance Computing (HPC), Big Data and Internet of Things (IoT) which is highly relevant to the emerging field of Industry 4.0. The graduates will gain knowledge and practical engineering skills in HPC, data management, sensing, and communication.

Don't miss this chance and enroll in this course now. Contact Skolkovo Institute of Science and Technology through Emagister.co.uk. You will receive all the information needed to take a step further in your career!

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

Informazioni importanti
Quali sono gli obiettivi della formazione?

- State of the art techniques of scientific computing, including parallel programming and HPC;
- Cutting-edge Big Data frameworks as well as IoT technologies;
- Research and applied science methods which respond to the up-to-date business needs;
- Software, algorithms and tools for HPC, Big Data analysis and IoT systems deployment.

Requisiti: - Knowledge and skills: Calculus, Differential Equations, Linear algebra, Probability theory and mathematical statistics, Discrete mathematics (including graph theory and basic algorithms), Programming. - Education: IT related bachelor's degree, or its equivalent in Mathematics, Computer Science, Information and Communication Technology, Applied Physics or other technical areas. - 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.

Strutture (1)
Dove e quando
Inizio Luogo
Set-2019
Moscow
Nobelya Ulitsa 3 Moscow, Russia 121205, 121205, Moscow and Moscow Region, Russia
Visualizza mappa
Inizio Set-2019
Luogo
Moscow
Nobelya Ulitsa 3 Moscow, Russia 121205, 121205, Moscow and Moscow Region, Russia
Visualizza mappa

Opinioni

5.0
eccellente
Valutazione del corso
100%
Lo consiglia
4.9
eccellente
Valutazione del Centro

Opinioni sul corso

S
Student
17/04/2018
Il meglio: I think coming here is my best choice to date, the internet is rubbish sometimes but I manage.
Da migliorare:
Corso realizzato: Aprile 2018
Consiglieresti questo centro?:
A
Aliya Khairullina
17/11/2018
Il meglio: The scope of research and amount of business experience Skoltech provide is really huge.
Da migliorare:
Corso realizzato: Novembre 2018
Consiglieresti questo centro?:
* Opinioni raccolte da Emagister & iAgora

Cosa impari in questo corso?

Entrepreneurship
Performance Management
Systems Engineering Management
System Operation
Systems Administration
Information Systems management
Information Visualisation
Systems Engineering
Communication design
Product Development
Product Design Technology
Information technology
Machine Learning
Information
Data science
communication technologies
Product Analysis
Information Science
Scientific computing
Coding Theory

Programma

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.

Coursework (36 credits)

  • Introduction to Data Science
  • Machine Learning
  • Numerical Modeling
  • Scientific Computing
  • High Performance Computing
  • Efficient Algorithms and Data Structures
  • Fast and Efficient Solvers
  • Introduction to IoT
  • Introduction to Blockchain
  • Communication Technologies for IoT
  • Digital Signal Processing
  • Information and Coding Theory
  • Sensors and Embedded Systems for IoT
  • Perception in Robotics
  • Advanced PLM Techniques: Product Prototyping

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)
Industrial Immersion (12 credits)