Additional courses (preparatory module) to the master course

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:


Optional Mathematics - Calculus and linear algebra
The student follows one of the following blocks:
Optional Module 1
Mandatory LINFO1111  Analysis
FR q1  45h+37.5h  7 credits      
Pierre-Antoine Absil
, Guillaume Berger
, François Glineur


Mandatory LINFO1112  Algebra
FR q2  30h+30h  5 credits      
Christophe Craeye
, Enrico Vitale


Optional Module 2
FR q1  30h+30h  5 credits      
Heiner Olbermann


FR q2  30h+30h  5 credits      
Tom Claeys


Mandatory Probability and statistics
The student follows one of the following blocks:
Optional Module 1
FR q1  22.5h+22.5h  3 credits      
Patrick Bogaert


FR q1  30h+15h  4 credits      
Patrick Bogaert


Optional Module 2
FR q1  30h+30h  5 credits      
Jean-Charles Delvenne
, Jean-Charles Delvenne (compensates Olivier Pereira)


FR q1  30h+30h  5 credits      
Donatien Hainaut
, Laurent Jacques


Mandatory Programming and computer science
The student follows one of the following blocks:
FR q1  30h+30h  5 credits      
Kim Mens
, Siegfried Nijssen
, Charles Pecheur


FR q2  30h+30h  5 credits      
Peter Van Roy


Mandatory LEPL1402  Informatics 2
FR q1  30h+30h  5 credits      
Sébastien Jodogne
, Ramin Sadre
, Pierre Schaus


Mandatory Un cours parmi :
EN q1  30h+22.5h  5 credits       > French-friendly  
Jean-Charles Delvenne
, Jean-Charles Delvenne (compensates Vincent Blondel)


FR q1  30h+30h  5 credits      
Pierre Schaus


Optional Computer systems:
The student follows one of the following blocks:
Mandatory LINFO1341  Computer networks
FR q2  30h+30h  5 credits      
Olivier Bonaventure


Mandatory LINFO1252  Informatic Systems
FR q1  30h+30h  5 credits      
Etienne Riviere


Optional Numerical methods and optimisation:
The student follows one of the following blocks:
FR q2  30h+22.5h  5 credits      
François Glineur


Mandatory Un cours parmi :
Optional LEPL1104  Numerical methods
FR q2  30h+30h  5 credits      
Vincent Legat


Optional LINFO1113  Numerical algorithmic
FR q2  30h+30h  6 credits      
Estelle Massart
, Loïc Quertenmont


Optional 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.