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:
FR
q2
30h+30h
5
credits
> Cécile Coyette (compensates Tom Claeys)
EN
q1
30h+22.5h
5
credits
> French-friendly
> Jean-Charles Delvenne
> Jean-Charles Delvenne (compensates Vincent Blondel)