-
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)
John Lee, John Lee (compensates 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.)
> Benoît Legat (compensates Vincent Blondel)
Jean-Charles Delvenne (coord.), Benoît Legat (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
To access to this Master's degree, students must master a minimum of basic skills in mathematics, programming, algorithms and statistical probability. In consultation with the student advisor, additional courses may be required. In such cases, a maximum of 10 additional credits may be included in the core curriculum. The list of additional courses is available in the "Preparatory module" section.
-
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.
-
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
-
Data sciences en linguistique et Text Mining
Content:
-
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):
> Sébastien Jodogne
> Estelle Massart
Sébastien Jodogne, Estelle Massart
-
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
François Fouss, Corentin Vande Kerckhove
-
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
Stéphanie Merle, Jean-Pierre Raskin
FR
q2
30h+15h
3
credits
Teacher(s):
> Anne Bauwens (compensates Jean-François Rees)
> Myriam De Kesel
Anne Bauwens (compensates Jean-François Rees), Myriam De Kesel
-
-
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, in the first annual block of their Masters programme, 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 (/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
FRq1 45h+37.5h 7 credits
Teacher(s):
> Pierre-Antoine Absil
> François Glineur
Pierre-Antoine Absil, François Glineur
FRq2 30h+30h 5 credits
Teacher(s):
> Christophe Craeye
> Enrico Vitale
Christophe Craeye, Enrico Vitale
Module 2
FRq2 30h+30h 5 credits
Teacher(s):
> Cécile Coyette (compensates Tom Claeys)
Cécile Coyette (compensates Tom Claeys)
Module 3
FRq1 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:
FRq1 30h+30h 5 credits
Teacher(s):
> Kim Mens
> Siegfried Nijssen
> Charles Pecheur
Kim Mens, Siegfried Nijssen, Charles Pecheur
FRq1 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.
FRq1 15h+15h 3 credits
Teacher(s):
> Nathan Uyttendaele (compensates Catherine Legrand)
Nathan Uyttendaele (compensates Catherine Legrand)
FRq2 30h+15h 4 credits
Teacher(s):
> Aurélie Bertrand
> Céline Bugli
> Nathalie Lefèvre
Aurélie Bertrand, Céline Bugli, Nathalie Lefèvre
ENq1 or q2 20h 3 credits
Teacher(s):
> Stéphanie Brabant
> Charline Coduti (compensates Anne-Julie Toubeau)
> Estelle Dagneaux
> Jean-Luc Delghust
> Aurélie Deneumoustier
> Fanny Desterbecq
> Marie Duelz
> Claudine Grommersch
> Adrien Kefer
> Sandrine Mulkers (coord.)
> Yannick Paquin (compensates Anne-Julie Toubeau)
> Marc Piwnik (coord.)
> Françoise Stas
Stéphanie Brabant, Charline Coduti (compensates Anne-Julie Toubeau), Estelle Dagneaux, Jean-Luc Delghust, Aurélie Deneumoustier, Fanny Desterbecq, Marie Duelz, Claudine Grommersch, Adrien Kefer, Sandrine Mulkers (coord.), Yannick Paquin (compensates Anne-Julie Toubeau), Marc Piwnik (coord.), Françoise Stas
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.