Topic outline

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  Master of Data Science

  Master of Data Science offers advanced training in data analysis methods and technologies, using machine learning techniques, data mining, big data, neural networks, analysis and processing of large data. The program combines theoretical knowledge with practical skills, preparing master's students to approach complex analytical challenges in various fields, such as business, health, technology or the environment.

  • Master of Data Science Curriculum File
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  First Year. 1st Semester

  • F.O.001 Scientific research methodology File
  • F.O.002 Exploratory data analysis File
  • F.O.003 Machine Learning and Data Mining File
  • F.O.004 Mathematical Models and Optimization File
  • F.O.005 Computational Statistics File
  • S.O.001 Platforms for advanced data analysis - Semester project File
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  First Year. 2nd Semester

  • F.O.006 Big Data Technologies File
  • F.O.007 Neural Networks and Deep Learning File
  • F.O.009 Large Linguistic Models File
  • S.O.002 Cloud Applications File
  • S.O.003 Software Security File
  • S.O.004 Data analysis tools - Semester project File
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  Second Year. 3rd Semester

  • F.O.010 Data Analysis and Visualization File
  • F.O.011 Application-Oriented Software Environments File
  • S.O.005 Software Project Management File
  • S.O.006 Data Science – Semester Project File
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  Second Year. 4th Semester

  • S.O.007-S.O.008 Research internship and Master's Thesis Elaboration File
  • S.O.009 Master's Thesis Defense File