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Tronc commun
Statistical modelling
Cours au choix
At least 2 courses among the 5 following.FR
q2
30h+7.5h
5
credits
Teacher(s):
> Cécile Adam (compensates Anouar El Ghouch)
Cécile Adam (compensates Anouar El Ghouch)
Machine learning and Data mining
Cours au choix
Choose at least 2 courses among the 3 following.
EN
q1
30h+30h
5
credits
> French-friendly
Teacher(s):
> John Lee
> Michel Verleysen
John Lee, Michel Verleysen
EN
q2
30h+30h
6
credits
> French-friendly
Teacher(s):
> Thibault Helleputte (compensates Pierre Dupont)
Thibault Helleputte (compensates Pierre Dupont)
Statistical computing, data structures and algorithms for data analysis
FR
q1
15h+15h
4
credits
Teacher(s):
> Céline Bugli (compensates Bernadette Govaerts)
Céline Bugli (compensates Bernadette Govaerts)
FR
q2
15h+15h
4
credits
Teacher(s):
> Alain Guillet (compensates Anouar El Ghouch)
Alain Guillet (compensates Anouar El Ghouch)
Cours au choix
EN
q1
30h+22.5h
5
credits
> French-friendly
Teacher(s):
> Jean-Charles Delvenne (coord.)
> Gautier Krings (compensates Vincent Blondel)
Jean-Charles Delvenne (coord.), Gautier Krings (compensates Vincent Blondel)
Philosophie
Maximum one course among:
Activités de base
The student chooses, for a maximum of 10 credits, the courses in the list below for which it did not acquire equivalent skills in its previous formation. This choice is discussed with the advisor of the master and next approved by the restricted jury.
Mathématique - Analyse et algèbre linéaire
Each of the following three modules of two courses allows acquiring similar skills:
Module 1
FR
q1
45h+37.5h
7
credits
Teacher(s):
> Pierre-Antoine Absil
> François Glineur
Pierre-Antoine Absil, François Glineur
FR
q2
30h+30h
5
credits
Teacher(s):
> Christophe Craeye
> Enrico Vitale
Christophe Craeye, Enrico Vitale
Module 2
Module 3
FR
q1
30h+20h
4
credits
Teacher(s):
> Cécile Coyette (compensates Pedro Dos Santos Santana Forte Vaz)
Cécile Coyette (compensates Pedro Dos Santos Santana Forte Vaz)
Probabilités et Statistique
Each of the following four modules of two courses allows acquiring similar skills:
Module 1
Module 2
Module 3
Module 4
Programmation et informatique
The student must acquire the skills bound to these three courses:
FR
q1
30h+30h
5
credits
Teacher(s):
> Kim Mens
> Siegfried Nijssen
> Charles Pecheur
Kim Mens, Siegfried Nijssen, Charles Pecheur
FR
q1
30h+30h
5
credits
Teacher(s):
> Sébastien Jodogne
> Ramin Sadre
> Pierre Schaus
Sébastien Jodogne, Ramin Sadre, Pierre Schaus
Other pre-requisite activities
The teaching units below may be added to the student's program if they are admitted on a case-by-case basis. The choice of these units will be made in consultation with the study advisor.
FR
q2
30h+30h
5
credits
Teacher(s):
> Vincent Bremhorst (compensates Anouar El Ghouch)
Vincent Bremhorst (compensates Anouar El Ghouch)
FR
q2
30h+15h
4
credits
Teacher(s):
> Aurélie Bertrand (compensates Bernadette Govaerts)
> Nathalie Lefèvre (compensates Bernadette Govaerts)
> Cédric Taverne (compensates Bernadette Govaerts)
Aurélie Bertrand (compensates Bernadette Govaerts), Nathalie Lefèvre (compensates Bernadette Govaerts), Cédric Taverne (compensates Bernadette Govaerts)
EN
q1 or q2
20h
3
credits
Teacher(s):
> Stéphanie Brabant
> Julie Callens
> Julie Crombois
> Estelle Dagneaux
> Aurélie Deneumoustier
> Marie Duelz
> Claudine Grommersch
> Sandrine Mulkers (coord.)
> Emeline Pierre (compensates Sandrine Mulkers)
> Marc Piwnik (coord.)
> Florence Simon
> Françoise Stas
> Anne-Julie Toubeau
> Marine Volpe
Stéphanie Brabant, Julie Callens, Julie Crombois, Estelle Dagneaux, Aurélie Deneumoustier, Marie Duelz, Claudine Grommersch, Sandrine Mulkers (coord.), Emeline Pierre (compensates Sandrine Mulkers), Marc Piwnik (coord.), Florence Simon, Françoise Stas, Anne-Julie Toubeau, Marine Volpe
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Professional Focus [30.0]
Content:
FR
q1 or q2
20
credits
Optionnal course
Choose 1 course among the 2 following.
-
Options
The student completes his program with elective courses reported in the list below. With the agreement of the restricted jury, the student can also complete his program by other courses that he would consider relevant and taught at the UCLouvain. The student may include a maximum of 5 language course credits in his or her program, provided that the level is appropriate and consistent with the student's and the program's profile.
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Data in action
Content:
FR
q2
22.5h+7.5h
5
credits
> English-friendly
Teacher(s):
> Patrick Bogaert
> Bernadette Govaerts
Patrick Bogaert, Bernadette Govaerts
FR
q2
15h+5h
4
credits
Teacher(s):
> Céline Bugli (compensates Bernadette Govaerts)
> Bernadette Govaerts
Céline Bugli (compensates Bernadette Govaerts), Bernadette Govaerts
EN
q1+q2
15h
3
credits
> French-friendly
Teacher(s):
> Catherine Legrand
> Christian Ritter
Catherine Legrand, Christian Ritter
-
Data sciences en linguistique et Text Mining
Content:
EN
q1
30h+15h
5
credits
> French-friendly
Teacher(s):
> Anaïs Tack (compensates Pierre Dupont)
Anaïs Tack (compensates Pierre Dupont)
FR
q1
22.5h
5
credits
> English-friendly
Teacher(s):
> Anaïs Tack (compensates Cédrick Fairon)
Anaïs Tack (compensates Cédrick Fairon)
-
Algorithme, informatique, optimisation, recherche opérationnelle
Content:
Cours au choix
Maximum one course among the two courses (As they are bachelor course, the amount of credits is reduced to 5)
FR
q2
30h+30h
6
credits
Teacher(s):
> Estelle Massart
> Loïc Quertenmont
Estelle Massart, Loïc Quertenmont
-
Stage
1 internship maximum, chosen among the two following (optional):
Content:
FR
q1 or q2
10
credits
FR
q1 or q2
5
credits
-
Data Sciences appliquées à la gestion
The following courses are taught on two-month periods and the first three ones are taught on the Campus of UCL Mons. Thus, we ask to students to check that this choice is compatible with their schedule, before inscription.
Content:
FR
q1
30h
5
credits
Teacher(s):
> François Fouss
> Corentin Vande Kerckhove (compensates François Fouss)
François Fouss, Corentin Vande Kerckhove (compensates François Fouss)
-
Optional courses
These credits are not counted within the 120 required credits.
Content:
FR
q1+q2
15h+45h
5
credits
Teacher(s):
> Stéphanie Merle
> Jean-Pierre Raskin (coord.)
Stéphanie Merle, Jean-Pierre Raskin (coord.)
FR
q2
30h+15h
3
credits
Teacher(s):
> Myriam De Kesel
> Jean-François Rees
Myriam De Kesel, Jean-François Rees
-
-
Preparatory Module
(only for students who qualify for the course via complementary coursework)
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 access to this Master's degree, the student has to master a minimum of preliminary skills in mathematics, programming, algorithmic and probability-statistics. If it is not the case, additional teachings must be added to his program. He can nevertheless include a maximum of 10 of these credits in the prerequisite module planned in the common-core syllabus of the Master's degree.
Students who do not have a B1 level in English (level obtained at UCLouvain) must take the LANGL1330 (https://uclouvain.be/en-cours-langl1330) English course. A dispensatory test is organized at the beginning of the academic year.
The student is invited to meet the program advisor to decide which courses should be followed. The restricted jury must next approve his program.
Mathématique - Analyse et algèbre linéaire
Each of the following three modules allows acquiring similar skills:
Module 1
FR
q1
45h+37.5h
7
credits
Teacher(s):
> Pierre-Antoine Absil
> François Glineur
Pierre-Antoine Absil, François Glineur
FR
q2
30h+30h
5
credits
Teacher(s):
> Christophe Craeye
> Enrico Vitale
Christophe Craeye, Enrico Vitale
Module 2
Module 3
FR
q1
30h+20h
4
credits
Teacher(s):
> Cécile Coyette (compensates Pedro Dos Santos Santana Forte Vaz)
Cécile Coyette (compensates Pedro Dos Santos Santana Forte Vaz)
Probabilités et Statistique
Each of the following four modules allows acquiring similar skills:
Module 1
Module 2
Module 3
Module 4
Programmation et informatique
The student must acquire the skills related to these three courses:
FR
q1
30h+30h
5
credits
Teacher(s):
> Kim Mens
> Siegfried Nijssen
> Charles Pecheur
Kim Mens, Siegfried Nijssen, Charles Pecheur
FR
q1
30h+30h
5
credits
Teacher(s):
> Sébastien Jodogne
> Ramin Sadre
> Pierre Schaus
Sébastien Jodogne, Ramin Sadre, Pierre Schaus
Other pre-requisite activities
The teaching units below may be added to the student's program if they are admitted on a case-by-case basis. The choice of these units will be made in consultation with the study advisor.
FR
q2
30h+30h
5
credits
Teacher(s):
> Vincent Bremhorst (compensates Anouar El Ghouch)
Vincent Bremhorst (compensates Anouar El Ghouch)
FR
q2
30h+15h
4
credits
Teacher(s):
> Aurélie Bertrand (compensates Bernadette Govaerts)
> Nathalie Lefèvre (compensates Bernadette Govaerts)
> Cédric Taverne (compensates Bernadette Govaerts)
Aurélie Bertrand (compensates Bernadette Govaerts), Nathalie Lefèvre (compensates Bernadette Govaerts), Cédric Taverne (compensates Bernadette Govaerts)
EN
q1 or q2
20h
3
credits
Teacher(s):
> Stéphanie Brabant
> Julie Callens
> Julie Crombois
> Estelle Dagneaux
> Aurélie Deneumoustier
> Marie Duelz
> Claudine Grommersch
> Sandrine Mulkers (coord.)
> Emeline Pierre (compensates Sandrine Mulkers)
> Marc Piwnik (coord.)
> Florence Simon
> Françoise Stas
> Anne-Julie Toubeau
> Marine Volpe
Stéphanie Brabant, Julie Callens, Julie Crombois, Estelle Dagneaux, Aurélie Deneumoustier, Marie Duelz, Claudine Grommersch, Sandrine Mulkers (coord.), Emeline Pierre (compensates Sandrine Mulkers), Marc Piwnik (coord.), Florence Simon, Françoise Stas, Anne-Julie Toubeau, Marine Volpe
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.
