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Tronc communCours obligatoires de statistique générale (40 credits)LSTAT2040 Statistical analysisLSTAT2190 Concepts and treatment of random vectorsLSTAT2100 Discrete data analysis.LSTAT2110 Data AnalysisLSTAT2120 Linear modelsLSTAT2130 Introduction to Bayesian statisticsLSTAT2390 Applied statistics workshopsCours de statistique et biostatistique spécifiques à l'orientation biostatistiqueLSTAT2210 Mixed linear modelsLSTAT2220 Analysis of survival and duration dataLSTAT2320 Design of experiment.Cours au choixChoisir au moins deux cours parmi:
LSTAT2230 Advanced survival modelsLSTAT2340 Statistical Analyses of ¿omics DataWFSP2238 Advanced epidemiologyCours au choix de statistiqueL'étudiant choisira au minimum 8 crédits dans les cours proposés dans les programme du master en statistiques, orientation générale ou master en data sciences. En particulier, les cours suivants sont recommandés:
LSTAT2140 Non parametric statisticsLDATS2350 Data MiningLSTAT2170 Times seriesLDATS2360 Seminar in data management: basicLSTAT2200 Survey and SamplingPhilosophieChoisir maximum un cours parmi:
LFILO2003E Ethics in the Sciences and technics (sem)FR
q2 15h+15h 2 creditsTeacher(s):
> Alexandre Guay (compensates Charles Pence)
> Hervé Jeanmart
> René Rezsohazy
LSC2220 Philosophy of scienceOptional courses :These credits are not counted within the 120 required credits.
LSST1001 ±õ²Ô²µÃ©²Ô¾±±ð³Ü³æ³§³Ü»åLSST1002M Information and critical thinking - MOOCFR
q2 30h+15h 3 creditsTeacher(s):
> Anne Bauwens (compensates Jean-François Rees)
> Myriam De Kesel
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Professional Focus [30.0]
La finalité spécialisée comprend le mémoire, l'UE de base en statistique du biostatisticien et une UE en statistique appliquée.
Content:Cours obligatoires de la finalitéLSTAT2828 memory in biostatisticsFR
q1 or q2 20 credits
LSTAT2330 Statistics in clinical trials.Cours au choix de la finalitéL'étudiant choisit obligatoirement une unité d'enseignement parmi les deux suivantes. L'étudiant qui désire inclure les deux unités d'enseignement à son programme ajoute l'autre dans le tronc commun.
FR
q1 or q2 5 credits
LSTAT2380 Statistical consulting -
Options
The student completes his program by choosing teaching units in the options and respecting the instructions of each option.
If the student chooses 15 or more credits in an option (including compulsory courses), this option will appear on the appendix of his diploma.
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Biostatistique clinique et épidémiologie
The student will validate this option if he/she obtains between 15 and 30 credits among the following courses.
Content:Choisir au moins un cours parmiCours au choixWESP2234 Clinical decision makingFR
q1 30h 3 creditsTeacher(s):
> Andrea Penaloza-Baeza
> Annie Robert (coord.)
> Kiswendsida Clovis Sawadogo
WFSP2202 Health survey methodsWFARM2196 Rational therapeutic choices (Introduction to evidence-based medicine and pharmacoeconomy)FR
q1 30h+10h 4 creditsTeacher(s):
> Nathalie Dujardin
> Séverine Henrard
> Anne Spinewine (coord.)
WFARM2513 Pharmacocinétique approfondie -
Biométrie, technométrie et bioinformatiqueThe student will validate this option if he/she obtains between 15 and 30 credits among the following courses.Content:Choisir au moins un cours parmiLSTAT2310 Statistical quality control.LBRTI2101A Data Science in bioscience engineeringCours au choix bioinformatique et machine learningLGBIO2010 Bioinformatics
EN
q1 30h+30h 5 credits > French-friendlyTeacher(s):
> Vincent Branders (compensates Pierre Dupont)
WSBIM2122 Omics data analysisCours bioinformatique : maximum 1 cours parmiWESP2232 Genomic epidemiologyFR
q2 15h+15h 3 creditsTeacher(s):
> Catherine Legrand
> Alexandre Persu
> Annie Robert (coord.)
> Miikka Vikkula
Cours biométrie : maximum 1 cours parmiFR
q1 22.5h+15h 3 credits > English-friendlyTeacher(s):
> Xavier Draye
> Frédéric Gaspart
> Laura Symul
LBRAI2222 Mixed models and experimental designCours de technométrie au choixLGBIO2020 BioinstrumentationEN
q2 30h+30h 5 credits > French-friendlyTeacher(s):
> André Mouraux
> Dounia Mulders (compensates Michel Verleysen)
LMECA2711 Quality management and control.Cours de technométrie : maximum un cours parmiLGBIO2050 Medical ImagingWSBIM2243 Digital processing of medical images
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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.
The complementary module to the Master's degree in Statistics, Biostatistics Orientation aims to prepare a student who does not have the required knowledge of probability calculation and statistics, mathematics, computer science, biology and English to undertake the studies of the Master's degree in Statistics, Biostatistics Orientation. The proposed activities include theoretical teaching units, exercise sessions and practical exercises.
This additional module is intended for all students whose admission is not direct (see the Master's admission requirements). A study advisor will inform the student of the list of SUs to be followed and this list will be approved by the jury.
Bloc intégré de probabilité, statistique et mathématiqueCours de mathématiquesLBIR1110 Introduction to analysisLMAT1101 Mathematics 1LMAT1102 Mathematics 2LINGE1114 Mathematics I: analysisCours d'informatiqueLINGE1225 Programming in Economics and ManagementCours de la spécialitéLBIO1110 Life : diversity and evolutionLBIO1114 Introduction to biologyLBIO1111 Cell and molecular biologyFR
q2 45h 4 credits
WMD1102 Physique expérimentale et introduction mathématique aux sciences expérimentales (1e partie)FR
q1 60h+21h 8 creditsTeacher(s):
> Alexandre Lazarescu (compensates Eduardo Cortina Gil)
> Fabio Maltoni
FR
q2 30h+20h 4 creditsTeacher(s):
> Benoît Boland
> Séverine Henrard
> Jean Macq (coord.)
> Andrea Penaloza-Baeza
Cours de probabilités et statistiqueLBIR1212 Probabilities and statistics (I)LBIR1315 Probability and statistics IILINGE1222 Multivariate Statistical AnalysisCours d'anglais (3 credits)LANGL1330 English intermediate level - 1st partEN
q1 or q2 20h 3 creditsTeacher(s):
> Stéphanie Brabant
> Charline Coduti (compensates Anne-Julie Toubeau)
> Estelle Dagneaux
> Jean-Luc Delghust
> Aurélie Deneumoustier
> Fanny Desterbecq
> Marie Duelz
> Claudine Grommersch
> Sandrine Mulkers (coord.)
> Yannick Paquin (compensates Anne-Julie Toubeau)
> Marc Piwnik (coord.)
> Françoise Stas
Stéphanie Brabant
LANGL1853 English: Reading Comprehension
From 21 to 25credit(s)