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Study programme 2015-2016

Teaching and training




This major allows students to learn the fundamental concepts pertaining to probabilities and mathematical statistics and teaches them about the principal tools used in most of the areas where statistics are used.

In addition, students taking 25 credits in this major, are automatically admitted to the second year Master’s degree programme (120) in statistics (specialisation possible).

 
> Legend

The student may choose

De 15 à 30 credits parmi
Annual block
  1 2

Optionnal LMAT1371 Probability   Johan Segers 30h+22.5h  5 credits 2q x x
Optionnal LSTAT2020 Statistical computing   Céline Bugli 20h+20h  5 credits 1q x x
Optionnal LSTAT2040 Statistical analysis   Anouar El Ghouch, Ingrid Van Keilegom 30h+15h  4 credits 2q x x
Optionnal LSTAT2100 Discrete data analysis.   Patrick Bogaert, Anouar El Ghouch 22.5h+7.5h  4 credits 2q x x
Optionnal LSTAT2110 Data Analysis   Christian Hafner, Johan Segers 22.5h+7.5h  4 credits 1q x x
Optionnal LSTAT2120 Linear models   Christian Hafner 22.5h+7.5h  4 credits 1q x x
Optionnal LSTAT2130 Introduction to Bayesian statistics.   Philippe Lambert 15h+5h  3 credits 2q x x
Optionnal LSTAT2170 Times series   Rainer von Sachs 22.5h+7.5h  4 credits 2q x x
Optionnal LSTAT2320 Design of experiment.   Patrick Bogaert, Bernadette Govaerts 22.5h+7.5h  4 credits 2q x x
Optionnal LSTAT2350 Data Mining   Libei Chen 15h+15h  4 credits 2q x x