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Study plan for applied  master’s program (1 year, 3 semesters) 

А. Basis subjects module:

• Professional English Language

• Management

• Psychology

• Math for Data Science

В. Professional subjects module:

• Technologies of Scalable Systems Development

• Data collection, wrangling, analysis and visualization

• Machine Learning

• RedHat - System Administration (I + II)

• Requirements Gathering for Secure Software Development

• Deep Learning

• Computer Vision

• Natural Language Processing

• BigData Analytics

С. Master student’s research work module:

• Industrial practice

• Experimental Research Work of Master Student

• Complex Examination

• Formalization and Defense of Master’s Project 


Study plan for research master’s program (2 year, 4 semesters)

А. Basis subjects module:

• History and philosophy of science

• Pedagogy

• Psychology

• Professional English  Language

• Avanced Programming Technologies

• Research Tools and Methods

• Writing Thesis in Scientific Researches

В. Professional subjects module:

• Software Design Technologies for RealTime Systems

• Algorithms and Competitive Programming

• 7xElective courses (TRACK courses)

С. Master student’s research work module:

• Research practice

• Scientific research work of master student

• Complex examination

• Defense of master’s degree dissertation 


TRACK - Cyber Security and DevOps:

- RedHat

- System Administration (I + II)

- Introduction to Cyber Security

- RedHat

- System Administration (III + OpenStack)

- Advanced Application and Network Security

- Any 3 courses from the electives list 


TRACK - Data Scientist:

- Math for Data Science

- Data collection, wrangling, analysis and visualization

- Machine Learning  

- Deep Learning

- Any 3 courses from the electives list 


TRACK - IoT Specialist:

- Advanced Digital Design with FPGA

- Networking in IoT

- IoT in industry

 - Any 4 courses from the electives list 


ELECTIVES LIST:

- Introduction to Cyber Security

- Data collection, wrangling, analysis and visualization

- Machine Learning  

- BigData Analytics

- RedHat

- System Administration (III + OpenStack)

- Advanced Application and Network Security

- Math for Data Science  

- Deep Learning

- Computer Vision

- Natural Language Processing

- Advanced Digital Design with FPGA

- Networking in IoT

- IoT in industry

- RedHat - System Administration (I + II)