1. UCL Home
  2. Study programme
  3. Study programme 2018-2019
  4. Per faculty
  5. Faculté des sciences
  6. Master [120] in data Science: Statistic

Supplementary classes

dats2m  2018-2019  Louvain-la-Neuve

To enrol for this Masters, the student must have a good command of certain subjects. If this is not the case, they must add preparatory modules to their Master’s programme.

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.
The student is invited to meet the program advisor to decide which courses should be followed. The restricted jury must next approve his program.


 
> Legend
 
Optionnal Mathématique - Analyse et algèbre linéaire

Each of the following three modules allows acquiring similar skills:  

Optionnal Module 1
Mandatory LINFO1111 Analysis   Abdou Kouider Ben-Naoum
45h+37.5h  7 credits 1q
Mandatory LINFO1112 Algebra   Christophe Craeye
, Thomas Peters
30h+30h  5 credits 2q
Optionnal Module 2
Mandatory LINGE1114 Mathematics I: analysis   Pascal Lambrechts
, Jean Van Schaftingen
, Vincent Wertz (coord.)
30h+30h  5 credits 1q
Mandatory LINGE1121 Mathematics II: algebra and matrix calculus   Tom Claeys
30h+30h  5 credits 2q
Optionnal Module 3
Mandatory LMAT1101 Mathematics 1   Pedro Dos Santos Santana Forte Vaz
30h+20h  4 credits 1q
Mandatory LMAT1102 Mathematics 2   Augusto Ponce
30h+30h  4 credits 2q
 
Optionnal Probabilités et Statistique

Each of the following four modules allows acquiring similar skills:  

Optionnal Module 1
Mandatory LSTAT2010B Elements of probability and statistics   Eugen Pircalabelu
30h+30h  6 credits 1q
Optionnal Module 2
Mandatory LBIR1212 Probabilities and statistics (I)   Patrick Bogaert
30h+15h  4 credits 1q
Mandatory LBIR1315 Probability and statistics II   Patrick Bogaert
22.5h+22.5h  3 credits 1q
Optionnal Module 3
Mandatory LINGE1113 Probability   Johan Segers
30h+15h  4 credits 2q
Mandatory LINGE1214 Further Statistics   Christian Hafner
, Catherine Timmermans (compensates Christian Hafner)
, Nathan Uyttendaele (compensates Christian Hafner)
30h+15h  4 credits 1q
Optionnal Module 4
Mandatory LMAT1271 Calculation of probability and statistical analysis   Mickaël De Backer (compensates Catherine Timmermans)
, Rainer von Sachs
30h+30h  6 credits 2q
 
Optionnal Programmation et informatique

The student must acquire the skills related to these three courses:  

Optionnal LINFO1101 Introduction à la programmation   Kim Mens
, Siegfried Nijssen
, Charles Pecheur
30h+30h  5 credits 1q
Optionnal LSINF1225 Object-oriented design and data management   Kim Mens
30h+30h  5 credits 2q
Optionnal LSINF1121 Algorithmics and data structures   Pierre Schaus
30h+30h  5 credits 1q
 
Optionnal 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.