Big Data Ecosystem for Digital Transformation

The Master’s program in Big Data Ecosystem for Digital Transformation combines modern teaching methods and best business practices, and trains big data analysts for various economic sectors. The educational process is primarily based on a project approach. Students learn about data science technologies based on real business cases, developing a wide range of competencies for further employment in the industry. Various methods of gathering, analyzing and visualizing data are used during the Master’s degree; hypotheses are formulated to change the specified indicators in various subject areas, from solving experimental materials science problems and designing new materials to making optimal managerial decisions in the banking system. Graduates of the program in Big Data Ecosystem for Digital Transformation work in leading Russian and international companies and banks.

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Apply now

Learn more

Ask us

2 years of study

Full-time education in Russian

College of Computer Sciences

Major # 09.04.02
Information Systems and Technologies

399 000 ₽

Marina Igorevna Nezhurina

Ph.D. in Engineering, Associate Professor, Head of the Master’s School of Business Information Systems

+7 495 959-46-01
iibs@misis.ru

Admissions

Details of admission

E-mail: welcome@misis.ru

International Students Service +7 499 649-44-80

Personally: Moscow, Leninsky Prospekt 4, block 1 (main building), 1st floor

Key Disciplines

16
subjects in the fields of information technologies, machine learning and big data analytics for solving key technological problems in the industry

Business Architecture

Digital Enterprise System Engineering

Special Chapters of Mathematics

Data Storage System Architectures

Software Platforms and Big Data Technologies

New Directions and Technologies of Modern Database Management Systems

Teachers

Alexander Samuilovich Tovb

President of the Project Management Association SOVNET

Professional activity in the field of management of complex integrated projects for the development of information systems for various purposes, for banking, government, industrial and commercial structures.

Mark Nahimovich Rivkin

Head of the Database and Cloud Computing Department at Oracle CIS Technology Consulting

Anton Vladimirovich Boganov

Chairman of itSMF Russia, Development Director of Axios Systems, ITIL Expert

Alexander Alexandrovich Dyumin

Senior Lecturer at NUST MISIS, Associate Professor at National Research Nuclear University MEPhI

Research interests: architecture of complex computing systems, big data, data storage systems, network technologies, mobile robotic systems.

Kirill Pavlovich Sidnov

Engineer at the New Materials Modeling and Development Laboratory

Specialist in solid state physics, physical chemistry, extreme state physics. Professional interests in the field of building machine learning models based on the results of first-principles material modeling.

Daniil Anatolyevich Vorobyev

Lead Analyst, Head of RND Analytics Glowbyte

Photos

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