Data Science
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The engineering and design school could organise better but the facilities for doing work and layout and rules are fair.
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I wanted a challenge so I choose Skoltech and I can't believe that I made it studying in the most promising university in the world in Moscow.
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Before applying to Skoltech, I was very skeptical about this place. There were a lot of ads everywhere about it with shocking studying conditions like worthy stipend for each student, technically equipped study rooms and cozy kitchens. It seems as a miracle for everyone who studied in universities, established still in Soviet Union, with month stipends less than 50$ and furniture left a lot to be desired. I had talked with several professors of Skoltech to understand what this place exactly is and whether all I heard is true. After confirmation, I started to gather all necessary documents and prepare for exams. Finally, I was enrolled to Data Science as I wanted. This place has everything for developing highly-qualified specialists in different fields of sciences. The majority of teaching staff are leading researchers from different fields of technical sciences. In addition, there are enterpreunership courses, which are appealed to broaden students' horizons and show them ways for translating ideas to products. After two years I am able to say that choosing Skoltech was right decision for getting Master degree. I circumscribed the area that is interesting to me to work in. Probably it has already determined my future life.
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Preço para verificar
Informação importante
| Tipologia | Master |
| Local | Moscow (Russia) |
| Duração | 2 |
| Início | Setembro 2020 |
- Master
- Moscow (Russia)
- Duração:
2 - Início:
Setembro 2020
Tuition fees: no tuition fee for the applicants who pass the selection process!
Data scientists are going to be among the most demanded specialists in the hi-tech market. The purpose of our program is to meet this demand and to equip the most talented young scientists with a high-level knowledge of machine learning, deep learning, computer vision, industrial data analytics, natural language processing, mathematical modelling and other important areas of modern data science.
Application deadline: July 16, 2020
A successful graduate of the program will know:
- Mathematical and algorithmic foundations of Data Science;
- Main methodological aspects of both, scientific research and application development in Data Science;
- State of the art techniques of machine learning and related areas.
Requisitos: - 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.
Instalações (1)| Início | Localização |
|---|---|
|
Set-2020 |
Moscow
Bolshoy boulevard 30/1, 121205, Moscow and Moscow Region, Russia Ver mapa |
| Início |
Set-2020 |
| Localização |
Moscow
Bolshoy boulevard 30/1, 121205, Moscow and Moscow Region, Russia Ver mapa |
Opiniões
Opiniões sobre este centro
O que se aprende nesse curso?
Entrepreneurship | Data analysis | Data Protection | Mathematics | ||||||
Algebra | Maths | Digital Editing | Data Management | ||||||
Image processing | Modelling | Applications | Machine Learning | ||||||
Analytics | Process | Data science | Robotics | ||||||
Blockchain | Machine Learining | Coding Theory | Biomedical Imaging |
Programa
Main research areas:
- Machine Learning and Deep Learning
- Industrial Analytics
- Computer Vision
- Image Processing
- High-dimensional statistics and Statistical learning
- Next Generation Multiscale Modeling
- Fast Solvers for Large Scale / High-Dimensional Problem
Career
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 Data Analyst, Data Scientist, Industrial Research Scientist, Consultant in various industry sectors (IT, Finance, Telecom and others).
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.
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