To access this Master, students must have a good command of certain subjects. If this is not the case, in the first annual block of their Masters programme, students must take supplementary classes chosen by the faculty to satisfy course prerequisites.
To enter the Master in Data Science, Information Technology orientation, the student must have a minimum of previous skills in mathematics, computer science, algorithms and probability-statistics. If this is not the case, he/she must add additional courses to his/her Master's program. The content of this additional training is determined by the program commission. The skills to be mastered correspond to those of the following courses:
Mathematics - Calculus and linear algebra
The student follows one of the following blocks:
Module 1
Module 2
FR
q1
30h+30h
5
credits
FR
q1
30h+30h
5
credits
Probability and statistics
The student follows one of the following blocks:
Module 1
Module 2
FR
q1
30h+30h
5
credits
Programming and computer science
The student follows one of the following blocks:
FR
q1
30h+30h
5
credits
Un cours parmi :
FR
q1
30h+30h
5
credits
Computer systems:
The student follows one of the following blocks:
FR
q2
30h+30h
5
credits
FR
q1
30h+30h
5
credits
Numerical methods and optimisation:
The student follows one of the following blocks:
FR
q2
30h+22.5h
5
credits
Un cours parmi :
FR
q2
30h+30h
6
credits
Other EU to be determined with the Study Advisor
Depending on his / her previous academic background, the student (in consultation with the study advisor) can add other UEs in order to acquire the necessary prerequisites for the program.