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Tronc commun
Statistical modelling
EN
q2
22.5h+7.5h
5
credits
EN
q1
15h+5h
4
credits
Cours au choix
At least 2 courses among the 5 following.FR
q2
30h+7.5h
5
credits
EN
q2
30h+7.5h
5
credits
FR
q1
15h+7.5h
4
credits
FR
q1
15h+7.5h
4
credits
Machine learning and Data mining
FR
q1
30h+7.5h
5
credits
EN
q2
15h
3
credits
Cours au choix
Choose at least 2 courses among the 3 following.
Statistical computing, data structures and algorithms for data analysis
FR
q1
15h+15h
4
credits
FR
q2
15h+15h
4
credits
FR
q1
15h+10h
4
credits
Cours au choix
EN
q2
30h+7.5h
5
credits
EN
q1
30h+22.5h
5
credits
> French-friendly
Teacher(s):
> Vincent Blondel
> Jean-Charles Delvenne (coord.)
Philosophie
Maximum one course among:
FR
q2
15h+15h
2
credits
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.
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Professional Focus [30.0]
Content:
FR
q1 or q2
20
credits
EN
q2
15h+15h
5
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. However, with the agreement of the restricted jury, students may complete their program with a maximum of 10 credits from the UCLouvain portfolio. Any option for which a minimum of 15 credits have been validated will be mentioned on the diploma. Courses in the “Data in action” and “Actuarial data science” options are potentially valuable in the Masters in Statistics or Actuarial Science.
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Data in action
Content:
FR
q2
15h+5h
4
credits
-
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
FR
q1
30h+30h
5
credits
-
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:
EN
q2
30h
5
credits
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Actuarial data science
Content:
-
Optional courses
These credits are not counted within the 120 required credits.
Content:
FR
q2
30h+15h
3
credits
-
-
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 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
FRq1 30h+30h 6 credits
FRq1 30h+30h 6 credits
Module 3
Probabilités et Statistique
Each of the following four modules allows acquiring similar skills:
Module 1
FRq1 22.5h+22.5h 5 credits
Module 2
Module 3
FRq2 30h+15h 6 credits
Module 4
Programmation et informatique
The student must acquire the skills related to these three courses:
FRq1 30h+30h 5 credits
ENq2 30h+15h 6 credits
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
FRq1 22.5h+15h 4 credits
FRq2 30h+15h 4 credits
FRq2 30h+15h 4 credits
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
> Anne-Julie Toubeau
Stéphanie Brabant, Estelle Dagneaux, Jean-Luc Delghust, Aurélie Deneumoustier, Fanny Desterbecq, Marie Duelz, Claudine Grommersch, Sandrine Mulkers (coord.), Marc Piwnik (coord.), Françoise Stas, Anne-Julie Toubeau
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.
