To access this Master, students must have a good command of certain subjects. If this is not the case, 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:
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FR
q1
45h+37.5h
7
credits
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FR
q2
30h+30h
5
credits
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> Christophe Craeye
> Enrico Vitale
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FR
q1
30h+30h
5
credits
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> Jean-Charles Delvenne
> Jean-Charles Delvenne (compensates Olivier Pereira)
FR
q1
30h+30h
5
credits
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> Donatien Hainaut
> Laurent Jacques
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FR
q1
30h+30h
5
credits
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> Kim Mens
> Siegfried Nijssen
> Charles Pecheur
FR
q1
30h+30h
5
credits
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> Sébastien Jodogne
> Ramin Sadre
> Pierre Schaus
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EN
q1
30h+22.5h
5
credits
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> Jean-Charles Delvenne
> Jean-Charles Delvenne (compensates Vincent Blondel)
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FR
q2
30h+30h
6
credits
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> Estelle Massart
> Loïc Quertenmont
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