M1 Bioinformatique, Biostatistiques et applications de l'intelligence artificielle
The main objective is to equip students with the necessary tools for the analysis and modeling of massive data (Big Data) in biology. To achieve this, students will progressively gain mastery of several programming languages as well as a number of methods in algorithms, databases, artificial intelligence, statistics, and mathematics. They will also deepen their knowledge of various key areas of bioinformatics such as systems biology, structural biology, functional genomics, and more.
Intégrer et expliquer les concepts fondamentaux de l'analyse de séquences, de la biologie structurale et de la modélisation en biologie.
The M1 BIBS-IA program is structured around several knowledge and skills blocks (Refresher, Bioinformatics and Biostatistics, Algorithms and Programming, Professionalization).
This first year of the Master's program initially focuses on differentiated refresher courses in computer science, mathematics, and biology, tailored to each student's initial background. It then allows students to acquire the necessary theoretical and practical foundations to address the various challenges in bioinformatics. The year concludes with a mandatory 2-month research internship in a research laboratory or a company.
Le débouché principal de l'EF M1 BIBS est la poursuite en seconde année dans l'EF M2 AMI2B.
Les étudiants de M1 BIBS peuvent aussi poursuivre en M2 dans un autre master de bioinformatique.
As this is a multidisciplinary program in Biology, Computer Science, and Mathematics, students holding a Bachelor's degree in Biology, Mathematics, or Computer Science, a dual-major Bachelor's degree (CompSci+Math, CompSci+Bio, Math+Bio), or any equivalent diploma are eligible to apply for admission. Although they are not excluded, applications from students who already hold a Master's degree or an equivalent qualification will be considered not prioritized.
Mandatory 2-month internship
Non
A l'issue de l'EF M1 BIBS, les étudiants maitrisent les concepts fondamentaux de l'analyse de séquences, de la biologie structurale et de la modélisation en biologie.
Ils savent concevoir un algorithme, un programme informatique ou une base de données afin de modéliser et/ou d'analyser des données biologiques.
Ils connaissent un certain nombre de techniques de statistiques qu'ils peuvent mettre en oeuvre en vue de l'analyse de données biologiques ou médicales.
Evolution, génomes, comportement et écologie
Ecologie Systématique et Evolution
Génétique Quantitative et Evolution - Le Moulon
Institut des Sciences des Plantes de Paris-Saclay
Laboratoire de recherche en informatique
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Institute for Integrative Biology of the Cell - DRF/JOLIOT
Laboratoire de mathématiques d'Orsay
Laboratoire de Mathématiques et Modélisation d'Evry
Laboratoire de biologie et pharmacologie appliquée.
The schedule will be posted shortly.
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Motivation letter.
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All transcripts of the years / semesters validated since the high school diploma at the date of application.
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Curriculum Vitae.
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Certificate of French (compulsory for non-French speakers).
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VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
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Supporting documents :
- Residence permit stating the country of residence of the first country
- Or receipt of request stating the country of first asylum
- Or document from the UNHCR granting refugee status
- Or receipt of refugee status request delivered in France
- Or residence permit stating the refugee status delivered in France
- Or document stating subsidiary protection in France or abroad
- Or document stating temporary protection in France or abroad.