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Big Data And Intelligent Systems

15.04.04 Automation of technological processes and production

The programme focuses on the development of theories, new techniques and intelligentsolutionsfor big data analysisin broad areas, as well astheories and techniquesfor building computersystemsthat capture intelligent behaviour in complex environments.

The aim of the programme isto train specialists capable of assessing the impact of big data technologies on business operations, developing new models of corporate information infrastructure using big data technology, overseeing the implementation of analytical tools and solutionsfor big data management, assessing the efficiency ofsuch projects and managing corporate data.

Program Description
Сurriculum
Career Prospects

Program duration: 2 years

The full-time format allows students to complete the degree in 2years.

Cost of the 1st year: 181 500 Rubles

paid every semester

Mode of Study: Full-time

This is a full-time program designed for students who wish to immerse themselves completely in their studies. The course load typically requires 30-40 hours per week of lectures, seminars, and independent study. 

Language of study: English

hybrid 

Key Courses

  • Automatic electric drives
  • Neural network algorithmsfor controlsystems data processing
  • Industrialsensors and instruments
  • Python for Big Data and analytics
  • Methods of Big Data processing in the MATLAB Symbolic Math Toolbox
  • Intelligent SCADA systems
  • Microcontroller digital data acquisition systems and IoT

Learning Outcomes

Upon completion of the programm,you will be able to:

  • build and evaluate data-based models;
  • perform statistical analysis using professionalstatisticalsoftware;
  • apply data science concepts and methodsto solve real-world problems and communicate these solutions effectively;
  • masterskillsin big data analysis and specific computing systems that are similar in their abilityto think critically about data,solve problems, and work with computer programming and data visualisation;

Job Titles

  • Data scientist
  • Production producer
  • Quant developer
  • IT director (CIO)
  • Intelligentsystems developer
  • Computersystems analyst

Lecturers:

#

Anna A. Sklyarenko

Program leader
Candidate of Technical Sciences

#

Vasily V. Dolgov

Associate Professor, Candidate of Technical Sciences

#

Tatyana A. Medvedeva

Candidate of Technical Sciences, Associate Professor (Grade 2)

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