Information Science and Technology
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Master
In Moscow (Russia)
Be ready to be one of the technological leaders of the future!
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Type
Master
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Location
Moscow (Russia)
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Duration
2 Years
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Start date
Different dates available
IST program makes a special emphasis on developing hands-on skills in the areas of High Performance Computing (HPC), Big Data, and Internet of Things (IoT), and Advanced Computing and Networks (ACN) which are highly relevant to the emerging field of Industry 4.0. Our graduates will gain knowledge and practical engineering skills in HPC, data management, sensing, and communication.
Facilities
Location
Start date
Start date
About this course
The MSc program is 2 years long: the first year is to strengthen your theoretical background, and the second year is to focus on research. Students have the freedom to choose courses and extracurricular activities to shape their individual trajectory, acquire soft skills, and gain entrepreneurial skills to prepare for job placement.
A successful graduate of the program will know:
State of the art techniques of scientific computing, including parallel programming and HPC
Research and applied science methods which respond to the up-to-date business needs
Cutting-edge Big Data frameworks as well as IoT technologies
Software, algorithms and tools for HPC, Big Data analysis and IoT systems deployment
Our graduates shape their own futures by choosing from a variety of career opportunities in industry, science and business:
Industry
Landing specialist positions such as Computational Scientist or Engineer in various industry sectors (Aerospace, Advanced Manufacturing, Large-Scale Engineering Design).
Science
Landing PhD positions and continuing research at leading Russian and international research bodies.
Startup
Starting a business on their own or through the Skolkovo innovation ecosystem with its extensive pool of experts, consultants and investors.
Calculus, Differential Equations, Linear algebra, Probability theory and mathematical statistics, Discrete mathematics (including graph theory and basic algorithms), Programming.
IT related bachelor's degree, or its equivalent in Mathematics, Computer Science, Information and Communication Technology, Applied Physics or other technical areas.
If your education has not been conducted in English, you will be expected to demonstrate evidence of an adequate level of English proficiency.
Reviews
-
The scope of research and amount of business experience Skoltech provide is really huge.
← | →
-
I think coming here is my best choice to date, the internet is rubbish sometimes but I manage.
← | →
Course rating
Recommended
Centre rating
Aliya Khairullina
Student
Subjects
- Communication Training
- Engineering
- Industry
- Technology
- Systems
- Innovation
- Networks
- Computing
- 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
Teachers and trainers (1)
Faculty members Members
teachers and administrators
Course programme
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)
- Introduction to Blockchain
- Digital Signal Processing
- Machine Learning
- Deep Learning
- Biomedical Imaging and Analytics
- Introduction to IoT
- Introduction to Data Science
- Communication Technologies for IoT
- Perception in Robotics
- Information and Coding Theory
- Sensors and Embedded Systems for IoT
- Scientific Computing
- Numerical Linear Algebra
- Numerical Modeling
- High Performance Computing and Modern Architectures
- Efficient Algorithms and Data Structures
- Introduction to Linux and Supercomputers
- Introduction to Quantum Information Theory
- High Performance Python Lab
- Foundations of Multiscale Modeling: Kinetics
- Advanced Computing and Modern Architectures
- Specialization in Performance Engineering
- Applied Parallel Computing
- Computer Networks and Telecommunications (MSU course)
- Applied Statistics and Statistical Recognition (MSU course)
- Distributed Algorithms and Systems (MSU course)
- Software Verification (MSU course)
- Seminar: "Distributed Systems and Networks" (MSU course)
- Cloud Computing and Resource Virtualization (MSU course)
Entrepreneurship and Innovation (12 credits)
- Innovation Workshop
- Ideas to Impact: Foundations for Commercializing Technological Advances
- Leadership for Innovators
- Business Communication
- Biomedical Innovation and Entrepreneurship
- Intellectual Property and Technological Innovation
- Technology Entrepreneurship: Foundation
- Technology Entrepreneurship: Advanced
- Product Innovation: User-Centered & Iterative Design Process
- Technology Planning and Roadmapping: Foundation
- Technology Planning and Roadmapping: Advanced
- Technological Innovation: from Research Results to Commercial Product
Industrial Immersion (12 credits)
Information Science and Technology