The program of 120 credits of the Master's degree in data science, statistical orientation, consists of:
- A common core syllabus from 59 to 82 credits including courses of
- statistical modelling,
- Machine learning and data mining,
- Computational statistics, structuring of data and algorithmic for data sciences,
- Philosophy (elective course),
- Modules to complete if needed, the skills of the student in IT, statistics and mathematics.
- A specialized orientation of 30 credits, including the master thesis and a specific course in the orientation.
- 8 to 31 credits for proposed elective courses.
- Maximum 10 credits for courses that are not included in the program, to be made approved by the program committee of the master.
To the program of 120 credits, a module of additional teachings can be added for the student not possessing all the prerequisites of the Master's degree. This module is selected with the advisor of the program.
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.