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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.

Core couses (27 ECTS):

  • Decision Analysis
  • Enterprise Architecture Perfecting
  • Applied Data Science
  • Distributed Data Processing
  • Strategic Management of Innovations
  • Financial Management: Financial Analysis and New Business Models

Optional courses (33 ECTS)

Elective courses – 1st study year (15 ECTS)

  • Business Rhetoric and Communication 
  • Cyber Law: Data, Ethics and Digital Property
  • Leadership and Project Team Management
  • Advanced Data Management 
  • Building Scoring Models Using Machine Learning Methods
  • Digital Platforms and Ecosystems of Modern Business
  • Applied Blockchain in Modern Corporate Architecture
  • Digital Platforms and Ecosystems of Modern Business
Elective courses - 2nd study year (18 ECTS)
  • Manufacturing Data Collection and Analytics
  • Predictive Modelling 
  • Big Data Based Marketing Analytics 
  • Development of Enterprise Distributed Applications
  • Neural Networks and Deep Learning
  • Cloud Systems

Optional course from the University Set (9 ECTS)

Projects (6 ECTS)

Scientific and Research Internship (15 ECTS)

Term Paper (6 ECTS)

Scientific and Research Seminar (16 ECTS)

Master’s thesis (18 ECTS)

Internship (15 ECTS)