Schița subiectului

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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 Fișier
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  First Year. 1st Semester

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

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

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

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