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Master [120] in Data Science: Information Technology

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  • Master in Data Science: Information Technology
    • Teaching profile
      • Learning outcomes
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    • Detailed programme
      • Core study
      • Professional Focus
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      • Course prerequisites
      • The programme's courses and learning outcomes
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      • Preparatory module
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      • Folder (PDF)
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Archive of study programme archive 2019-2020

Master [120] in Data Science: Information Technology
  • Teaching profile  show 
      • Learning outcomes
      • Programme structure
  • Detailed programme  show 
      • Core study
      • Professional Focus
      • Options courses
      • Course prerequisites
      • The programme's courses and learning outcomes
  • Admission  show 
      • Admission
      • Preparatory module
  • Benefits and organisation  show 
  • Folder (PDF)  show 
      • Get the full PDF
      • Folder (PDF)
  • In practice  show 
      • Curriculum Management and contacts
      • Web site of Ecole Polytechnique de Louvain
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Programme structure

dati2m  2019-2020  Louvain-la-Neuve


For a programme-type, and regardless of the focus, options/or elective courses selected, this master will carry a minimum of 120 credits divided over two annual units, corresponding to 60 credits each.

> Tronc commun

> Professional Focus

Options courses

> Majors in Data Science: Information technology
> Option en computer systems
> Option en numerical methods and optimization
> Major in Cryptography and information security
> Majors in business creation and management
> Major in small and medium sized business creation
> Major Business risks and opportunities
> Elective courses
> Elective courses available for Master students in Data Sciences Engineering
> Elective courses: transversal skills and contacts with industry

UCLouvain - Archive du catalogue des formations 2019-2020