ECTS
60 credits
Duration
1 year
Training structure
School of Pharmacy
Language(s) of instruction
French
Presentation
The proposed course is an evolution of the "Statistics for Life Sciences" course in the "Mathematics" program from the previous period. The Master 1 program will now be shared with the "Epidemiology, Health Data, Biostatistics - Health Data" course, with which there was already significant overlap during the previous period.
Objectives
Its objective remains to provide students, mainly from health and biology degree programs, with the opportunity to acquire dual expertise in biostatistics.
Know-how and skills
This dual skill set is particularly sought after in the job market, as shown by the employment rate figures at the end of the program. Our students are real assets to any team, as they have the necessary background in biology/health to master the issues at hand and the skills to analyze data appropriately. This adequate analysis of data in biology/health is a major challenge for research in the coming years, as data is becoming increasingly voluminous and numerous, and errors in its analysis can lead (and have already led in the past) to erroneous or non-reproducible conclusions that discredit the entire research sector. Real expertise in data analysis is therefore essential today in order to answer complex biological questions. This objective is the "DNA" of our training program and will continue to be so for the next period.
In addition, we have updated the course content to enable health and biology students to acquire skills that are increasingly relevant to the biostatistics job market: introduction to the Python language, reinforcement of teaching in machine learning and artificial intelligence. This change is also consistent with the change in specialization, as the health applications of these methods are becoming increasingly numerous (biomarker research, personalized medicine, etc.). We have reinforced our teaching in this area to enable our students (particularly those who do not come from health-related fields) to become aware of the issues inherent in health data.
From a professional perspective, we offer a new case study course unit, introducing project-based learning, which is known for its educational benefits. This course unit is accompanied by an introduction to project management, preparing our students for their future jobs, which often involve working in teams built around projects.
Organization
Knowledge assessment
Program
ANALYSIS OF CENSORED DATA
2.5 creditsTEMPORAL STATISTICS
2.5 creditsGENERALIZED LINEAR AND MIXED MODEL
5 creditsMixed model application & machine learning
2.5 creditsCASE STUDY PART 2
5 creditsMACHINE LEARNING LEVEL 1: APPLICATION TO FORECASTING
2.5 creditsLEVEL 2 DATABASES
2.5 creditsMACHINE LEARNING LEVEL 2
2.5 creditsPLANNED DATA COLLECTION
2.5 creditsINDUSTRY STATISTICS
2.5 creditsRESEARCH SEMINARS
2.5 credits
Master's degree internship
25 creditsM2 EDSB internship
30 credits