Programme structure

The 120-credit programme of the Master's degree in Data Scienceconsists of :

  • A core curriculum of at least 53 credits of:
    • Data structures and algorithms for data analysis
    • Machine learning and data mining
    • Statistics
  • a specialized 30-credit mandatory courses including the Master Thesis and an industrial seminar,
  • at least one major (Numerical Methods and Optimization or Computer Systems),
  • elective courses to achieve at least 120 credits.

An additional teaching module may be added to the 120-credit programme for students who do not have all the prerequisites for the Master's degree. These teaching units will be selected with the study advisor.

 

For a typical programme, this Master's degree will total, whatever the purpose, options and/or elective courses selected, a minimum of 120 credits spread over two annual blocks corresponding to 60 credits each.

Translated with www.DeepL.com/Translator (free version)


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
> Liste au choix de finalités DATE2M
> Professional Focus
> List of electives
> List of electives
> Major in small and medium sized business creation
> Major Business risks and opportunities
> List of electives
> Elective courses available for Master students in Data Sciences Engineering
> Elective courses: transversal skills and contacts with industry
> List of electives
> Major in computer systems
> Major in numerical methods and optimization
> Major in Cryptography and information security
> Preparatory Module (only for students who qualify for the course via complementary coursework)
> Additional courses (preparatory module) to the Master [120] in Data Science Engineering