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Tronc commun
Statistical modelling
Machine learning and Data mining
Cours au choix
Choose at least 2 courses among the 4 following.
Statistical computing, data structures and algorithms for data analysis
Programmation de base
Si un / des cours équivalents à LINFO1101 et/ou LINFO1103 ont été réussis par l’étudiant·e dans son parcours précédent, il/elle les remplacera par des cours à choisir dans la liste des options et cours au choix.
Philosophie
Maximum one course among:
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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 or her program primarily with credits from the list below. Any option for which a minimum of 15 credits have been validated will be mentioned on the diploma. Also, with the agreement of the restricted jury, students may complete their program with a maximum of 10 credits from the UCLouvain portfolio.
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Advanced statistics
Content:
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Applied data science
Content:
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Data science in biostatistics
Content:
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Actuarial data science
Content:
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Stage
Content:
FR
q1 or q2
5
credits
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Optional courses
These credits are not counted within the 120 required credits.
Content:
FR
q1
30h+15h
3
credits
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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, 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.
Students who do not have a B1 level in English (level obtained at UCLouvain) must take the 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
Module 2
Module 3
Probabilités et Statistique
Each of the following four modules allows acquiring similar skills:
Module 1
Module 2
Module 3
FRq1 45h+15h 6 credits
Module 4
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.
ENq1 or q2 20h 3 credits
Teacher(s):
> Stéphanie Brabant
> Estelle Dagneaux
> Jean-Luc Delghust
> Aurélie Deneumoustier
> Fanny Desterbecq
> Marie Duelz
> Claudine Grommersch
> Sandrine Mulkers (coord.)
> Marc Piwnik (coord.)
> Françoise Stas
Stéphanie Brabant, Estelle Dagneaux, Jean-Luc Delghust, Aurélie Deneumoustier, Fanny Desterbecq, Marie Duelz, Claudine Grommersch, Sandrine Mulkers (coord.), 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.
