MSc in Mathematics and Computer Science
Skolkovo Institute of Science and Technology

Data Science

4.5 excelente 4 opiniones
Skolkovo Institute of Science and Technology
En Moscow (Russia)

Precio a consultar

Información importante

Tipología Master
Lugar Moscow (Russia)
Duración 2
Inicio Septiembre 2020
  • Master
  • Moscow (Russia)
  • Duración:
    2
  • Inicio:
    Septiembre 2020
Descripción

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.

Información importante
¿Qué objetivos tiene esta formación?

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.

Instalaciones (1) y fechas
¿Dónde se da y en qué fecha?
comienzo Ubicación
Sep-2020
Moscow
Nobelya Ulitsa 3 Moscow, Russia 121205, 121205, Moscow and Moscow Region, Russia
Ver mapa
comienzo Sep-2020
Ubicación
Moscow
Nobelya Ulitsa 3 Moscow, Russia 121205, 121205, Moscow and Moscow Region, Russia
Ver mapa

Opiniones

4.5
excelente
Valoración del curso
100%
Lo recomiendan
4.9
excelente
Valoración del Centro

Opiniones sobre este centro

S
Student
28/12/2018
Lo mejor: The engineering and design school could organise better but the facilities for doing work and layout and rules are fair.
A mejorar: -
Curso realizado: Diciembre 2018
¿Recomendarías este centro?:
B
Brandan Willcocks
23/09/2018
Lo mejor: 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.
A mejorar: -
Curso realizado: Septiembre 2018
¿Recomendarías este centro?:
A
Andrei Davydov
25/11/2018
Lo mejor: 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.
A mejorar: Nothing to improve
Curso realizado: Noviembre 2018
¿Recomendarías este centro?:
M
Mark Vinogradov
26/11/2018
Lo mejor: Skoltech offers a world-class professional education with incredible people at the faculty
A mejorar: Nothing to improve
Curso realizado: Noviembre 2018
¿Recomendarías este centro?:
* Opiniones reunidas por Emagister & iAgora

¿Qué aprendes en este 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

Temario

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)

  • Efficient Algorithms and Data Structures
  • Numerical Linear Algebra
  • Machine Learning
  • Foundations of Multiscale Modelling
  • Introduction to Data Science
  • Large-scale Optimization and Applications
  • Perception in Robotics
  • Introduction to Quantum Information and Quantum Computation
  • Convex Optimization and Applications
  • Introduction to Blockchain
  • Advanced Statistical Methods
  • Information and Coding Theory
  • Signal and Image Processing
  • Natural Language Modelling and Processing
  • Geometrical Methods of Machine Learning
  • Biomedical Imaging and Analytics
  • Deep Learning
  • Bayesian Methods of Machine Learning
  • Introduction to Digital Agro
  • High Performance Computing
  • Thermodynamics and Transport at Nanoscale
  • Computational Materials Modelling
  • Fast and Efficient Solvers


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)