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Regular version of the site

Programme content

The program consists of core courses, optional courses, term paper (first year), research seminars and master's thesis (second year).

Вridging courses in the first term allow you to fill knowledge gaps and  to take courses, regardless of your previous degree discipline.

Bridging courses (dependent on student):

  • Introduction to Data Analytics for Business
  • Strategic Management

Core couses (20 ECTS):

  • System Analysis&Organization Design
  • Economic and Mathematic Modeling
  • Enterprise Architecture Modelling
  • Advanced Data Analysis & Big Data for Business Intelligence 
  • Strategic Management of Innovations

Optional courses (39 ECTS)

Elective courses – 1st study year (21 ECTS)

  • Big Data Systems Development and Implementation 
  • Theoretical Basics of Distributed Information Processing in Big Data Systems
  • Data Visualization 
  • Advanced Data Management 
  • Big Data Collection, Storage&Processing in Heterogeneous Distributed Computer Networks 
  • Knowledge Management
  • Applied Machine Learning  
  • Digital platforms and ecosystems of modern business
Elective courses - 2nd study year (18 ECTS)
  • Big Data Analytics for Industrial Internet
  • Predictive Modelling 
  • Big Data Based Marketing Analytics 
  • Big Data Analytics for Industrial Internet
  • Neural Networks and Deep Learning
  • Cloud Technologies
  • Applied Blockchain in the Modern Enterprise Architecture
  • Leadership and Project Team Management

Optional course from the University Set (3 ECTS)

Projects (3 ECTS)

Scientific and Research Internship (12 ECTS)

Term Paper (6 ECTS)

Scientific and Research Seminar (16 ECTS)

Master’s thesis (21 ECTS)