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Tronc commun
Statistical modelling
Cours au choix
At least 2 courses among the 5 following.
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
> John Lee (compensates Michel Verleysen)
> Michel Verleysen
John Lee, John Lee (compensates Michel Verleysen), Michel Verleysen
Statistical computing, data structures and algorithms for data analysis
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:
FR
q2
30h
2
credits
Teacher(s):
> Peter Verdée
> Peter Verdée (compensates Charles Pence)
Peter Verdée, Peter Verdée (compensates Charles Pence)
FR
q2
15h+15h
2
credits
Teacher(s):
> Alexandre Guay (compensates Charles Pence)
> Hervé Jeanmart
> René Rezsohazy
Alexandre Guay (compensates Charles Pence), Hervé Jeanmart, René Rezsohazy
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
Pierre-Antoine Absil, Guillaume Berger, 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):
> Pedro Dos Santos Santana Forte Vaz
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+15h
4
credits
Teacher(s):
> Aurélie Bertrand
> Nathalie Lefèvre
Aurélie Bertrand, Nathalie Lefèvre
EN
q1 or q2
20h
3
credits
Teacher(s):
> Stéphanie Brabant
> Estelle Dagneaux
> Jean-Luc Delghust
> Aurélie Deneumoustier
> Fanny Desterbecq
> Marie Duelz
> Claudine Grommersch
> Adrien Kefer (compensates Sandrine Mulkers)
> Marc Piwnik (coord.)
> Françoise Stas
> Anne-Julie Toubeau
> Marine Volpe
Stéphanie Brabant, Estelle Dagneaux, Jean-Luc Delghust, Aurélie Deneumoustier, Fanny Desterbecq, Marie Duelz, Claudine Grommersch, Adrien Kefer (compensates Sandrine Mulkers), Marc Piwnik (coord.), 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.
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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
15h+5h
4
credits
Teacher(s):
> Séverine Guisset
> Christian Ritter
Séverine Guisset, Christian Ritter
EN
q1+q2
15h
3
credits
> French-friendly
Teacher(s):
> Christian Ritter
> Laura Symul
Christian Ritter, Laura Symul
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Data sciences en linguistique et Text Mining
Content:
FR
q1
22.5h
5
credits
> English-friendly
Teacher(s):
> Anaïs Tack (compensates Cédrick Fairon)
Anaïs Tack (compensates Cédrick Fairon)
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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
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Stage
1 internship maximum, chosen among the two following (optional):
Content:
FR
q1 or q2
10
credits
FR
q1 or q2
5
credits
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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):
> Corentin Vande Kerckhove
> Corentin Vande Kerckhove (compensates François Fouss)
Corentin Vande Kerckhove, Corentin Vande Kerckhove (compensates François Fouss)
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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
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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
Pierre-Antoine Absil, Guillaume Berger, 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):
> Pedro Dos Santos Santana Forte Vaz
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+15h
4
credits
Teacher(s):
> Aurélie Bertrand
> Nathalie Lefèvre
Aurélie Bertrand, Nathalie Lefèvre
EN
q1 or q2
20h
3
credits
Teacher(s):
> Stéphanie Brabant
> Estelle Dagneaux
> Jean-Luc Delghust
> Aurélie Deneumoustier
> Fanny Desterbecq
> Marie Duelz
> Claudine Grommersch
> Adrien Kefer (compensates Sandrine Mulkers)
> Marc Piwnik (coord.)
> Françoise Stas
> Anne-Julie Toubeau
> Marine Volpe
Stéphanie Brabant, Estelle Dagneaux, Jean-Luc Delghust, Aurélie Deneumoustier, Fanny Desterbecq, Marie Duelz, Claudine Grommersch, Adrien Kefer (compensates Sandrine Mulkers), Marc Piwnik (coord.), 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.
