Program Overview

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Master in Statistics: Biostatistics

The Master in Statistics: Biostatistics is a comprehensive program offered by the Université catholique de Louvain. This program is designed to provide students with a strong foundation in statistical theory and methods, with a focus on biostatistics.

Program Structure

The program consists of a combination of compulsory and elective courses, allowing students to tailor their studies to their interests and career goals. The compulsory courses cover topics such as statistical software, statistical analysis, and concepts and treatment of random vectors.

Compulsory Courses

• LSTAT2020: Statistical softwares and basic statistical programming
• LSTAT2040: Statistical analysis
• LSTAT2190: Concepts and treatment of random vectors
• LSTAT2100: Discrete data analysis
• LSTAT2110: Data Analysis
• LSTAT2120: Linear models
• LSTAT2130: Introduction to Bayesian statistics
• LSTAT2380: Statistical consulting

Elective Courses

Students must choose a minimum of 8 courses from the list of elective courses, including at least 2 courses in statistical computation and at least 2 courses in modeling.

Modeling

• LSTAT2210: Mixed linear models
• LSTAT2150: Nonparametric statistics: smoothings methods
• LDATS2450: Statistical learning. Estimation, selection and inference
• LSTAT2220: Analysis of survival and duration data
• LSTAT2230: Advanced survival models

Statistical Computation

• LDATS2350: Data Mining
• LSTAT2340: Statistical Analyses of -omics Data
• LDATS2360: Seminar in data management: basic
• LSTAT2185: Numerical Methods for Statistics: Optimization, Simulations and the Bootstrap
• LDATS2030: Statistique et data sciences avec R: Programmation avancée

General Statistics

• LSTAT2140: Non parametric statistics
• LSTAT2170: Times series
• LSTAT2200: Survey and Sampling
• LSTAT2310: Statistical quality control
• LSTAT2390: Applied statistics workshops

Philosophy

Students can choose a maximum of one course from the following list:

• LFILO2003E: Ethics in the Sciences and technics (sem)
• LSC2001: Introduction to contemporary philosophy
• LSC2220: Philosophy of science

Professional Focus

The professional focus comprises a memoir, a basic unit in biostatistics, and a unit in applied statistics.

Compulsory Courses

• LSTAT2828: Memory in biostatistics
• LSTAT2330: Statistics in clinical trials
• LSTAT2320: Design of experiment

Options

Students must complete their program with elective courses from the following options, including at least two priority courses.

Clinical Biostatistics and Epidemiology

• LSTAT2930: Training course or work of application in biostatistics
• WFSP2238: Advanced epidemiology
• WESP2232: Genomic epidemiology
• WFARM2513: Pharmacocinétique approfondie
• WESP2234: Clinical decision making
• WFSP2201: Advanced methods in public health : seminar
• WFSP2202: Health survey methods
• WFARM2196: Rational therapeutic choices
• WFSP2228: Systematic literature review, realist evaluation and meta-analysis

Biometry, Technometry, and Bioinformatics

• LSTAT2930: Training course or work of application in biostatistics
• LBRTI2101A: Data Science in bioscience engineering
• LGBIO2010: Bioinformatics
• LINFO2262: Machine Learning :classification and evaluation
• LBRMC2201: Bioinformatics : DNA and protein sequence analysis
• LBRAI2220A: Quantitative genetics, crop improvement and biotechnology
• LGBIO2050: Medical Imaging
• WSBIM2122: Omics data analysis

Preparatory Module

The preparatory module is designed for students who do not have the required knowledge in probability calculation, statistics, mathematics, computer science, biology, and English. This module includes theoretical teaching units, exercise sessions, and practical exercises.

Integrated Block of Probability, Statistics, and Mathematics

• LSTAT2011: Éléments de mathématiques pour la statistique
• LSTAT2014: Elements of probability and mathematical statistics
• LBIR1110: Introduction to analysis
• LMAT1101: Mathematics 1
• LMAT1102: Mathematics 2
• LINGE1114: Introduction to mathematical modelling : analysis
• LINGE1121: Introduction to mathematical modelling : algebra

Computer Science Courses

• LINGE1225: Programming in Economics and Management

Specialty Courses

• LBIO1110: Life : diversity and evolution
• LBIO1114: Introduction to biology
• LBIO1111: Cell and molecular biology
• LFSM1104A: Biologie cellulaire et éléments d'histologie
• LPSP1005: General biology, including elements of human genetics
• WMD1102: Physique expérimentale et introduction mathématique aux sciences expérimentales
• WMDS1113: Epidémiologie, santé publique et soins de santé

Probability and Statistics Courses

• LBIR1212: Probabilities and statistics (I)
• LBIR1315: Probability and statistics II
• LINGE1222: Multivariate Statistical Analysis
• LPSP1209: Statistics, inference on one or two variables
• LPSP1306: Statistics: descriptive analysis and GLM multivariate data modeling
• LMAFY1101: Data exploration and introduction to statiscal inference
• LBIO1283: Statistical principles and biological data analysis

English Courses

• LANGL1330: English intermediate level - 1st part
• LANGL1853: English: Reading Comprehension