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Criteria for admission to the GRIAT-study program

Intelligent Data Processing 

Previous Education Average BSc Mark Basic Knowledge in Additional Requirements

Bachelor of Science,
Bachelor of Engineering in the appropriate program or related field


Math field:

  • Calculus

  • Linear algebra

  • Discrete mathematics

  • Theory of probability and mathematical statistics

  • Average mark for all math courses at least 4.



  • Data structures and algorithms

  • Practical skills of programming in any high-level programming language (preferable: skills in object-oriented language)

  • General knowledge in databases, networks and operating systems

  • More than 60 CP during bachelor studies had to be courses from the IT field

  1. Motivation for your bachelor thesis: the problem that was solved, tasks, algorithms, models and methods, mathematical background; characteristics of the project, complexity, which difficulties were solved and how.
  2. A short story about why you need this master's program. What are your expectations? Why did you choose the part-nership between KNRTU-KAI and German university? How do you see yourself in the future? Personal interests, priorities and plans, if you relate them with the MSc program.
  3. Personal achievements and awards, including academic. Letters of recommendation. (optional)
  4. For diploma obtained outside Russia, additional consul-tation with German side is required.