Skolkovo Institute of Science and Technology

Information Science and Technology

Skolkovo Institute of Science and Technology
In Moscow (Russia)
  • Skolkovo Institute of Science and Technology

Preis auf Anfrage
PREMIUM-KURS

Wichtige informationen

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

This program is totally free, 100% scholarship if applicants pass all the entry requirements!

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!

Wichtige informationen
Welche Ziele verfolgt der Kurs?

- 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.

Voraussetzungen: - 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.

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

Was lernen Sie in diesem Kurs?

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

Themenkreis

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)