M2 Bioinformatique, Biostatistiques et applications de l'intelligence artificielle
The M2 BIBS-IA program is dedicated to the advanced research and development needs of companies and research organizations in bioinformatics and biostatistics.
This multidisciplinary training program meets these needs by preparing specialists at the interface of biology, computer science, and mathematics.
Upon completion of the M2 BIBS-IA, students master several programming languages, a wide range of artificial intelligence, algorithmic, statistical, and data science methods, enabling them to store, model, and analyze large-scale genomic and biomedical data. They also deepen their knowledge in key areas of bioinformatics (systems biology, structural biology, functional genomics) and apply the methods learned to diverse projects in life sciences and medicine, as well as in environmental sciences and agronomy.
The curriculum of the M2 BIBS-IA is organized into six major knowledge and skills blocks:
Block 1 – Management of large-scale data and optimization.
This block includes three teaching units focused on optimizing the processing of various types of data (relational databases and graph data). A project based on massive real-world datasets allows students to put their acquired knowledge into practice.
Block 2 – High-throughput genomics.
This block comprises two teaching units: one focused on comparative genomics and another on population genomics, with strong emphasis on the application of statistical methods in these domains.
Block 3 – Data analysis and AI for biology.
This block includes three teaching units, covering topics ranging from fundamental AI concepts such as machine learning models, to applications of AI in integrative biology and image analysis.
Block 4 – Scientific integrity and reproducibility.
This block comprises two pre-professional teaching units: a reprohackathon project and a unit supporting professional integration. Students acquire best practices in open science, scientific integrity, ethics, and energy efficiency (ecological impact of digital practices, particularly artificial intelligence).
Block 5 – Advanced applications of Artificial Intelligence.
Students select four teaching units within this block, which includes six dedicated to the M2 BIBS-IA track and focused on diverse applications of AI. Examples include a data camp (a machine learning hackathon on real-world datasets, jointly organized with École Polytechnique and Télécom Paris) and data mining in agronomy (jointly with AgroParisTech). In addition, students may choose elective units from other Master’s programs (Computer Science, Biology-Health, etc.).
Choisir, évaluer et optimiser les différentes méthodes informatiques et statistiques issues de la science des données et de l’intelligence artificielle à utiliser pour analyser des données biologiques massives et hétérogènes.
The M2 BIBS-IA program is built as a continuation of the M1 BIBS-IA. The “Profile” section specifies the expected prerequisites.
Within the BIBS-IA track, artificial intelligence and data science play a central role, approached both from a theoretical perspective (in mathematics and computer science) and from an applied perspective, closely linked to the specificities of biological and biomedical data.
Multidisciplinary projects and hackathons are organized by experts from academia and industry. Students have access to a wide range of elective teaching modules, allowing them to specialize (applications of artificial intelligence in structural biology, genomics, clinical contexts, agronomy, etc.).
A mandatory 4- to 6-month internship ensures strong future career prospects for students, whether in research or in industry.
Le parcours type Biologie Computationnelle : Analyse, Modélisation et Ingénierie de l'Information Biologique et Médicale (M1 BIBS - M2 AMI2B) permet une insertion professionnelle rapide des étudiants, tant dans le monde académique (universités et organismes de recherche) que dans le secteur privé (entreprises).
Les diplômés peuvent accéder à des postes d'ingénieur en bioinformatique, typiquement en Recherche et Développement, par exemple :
1) Concepteur et développeur de Bases de Données et de sites web en biologie, santé, agronomie ou environnement,
2) Concepteur et développeur d'algorithmes et de logiciels de bioinformatique,
3) Analyste de données biomédicales,
4) Gestionnaire de plates-formes en bioinformatique ou agronomie.
Les étudiants peuvent poursuivre par une thèse en Sciences de la Vie et de la Santé ou en Informatique. Une orientation bioinformatique ou sciences des données du vivant est privilégiée.
Most courses in the M2 BIBS-IA program are taught in French, therefore proficiency in the French language is required.
The M2 BIBS-IA is designed as a continuation of the M1 BIBS-IA and brings together three student profiles:
- Students who have successfully completed the M1 BIBS-IA, all of whom are admitted into the M2 BIBS-IA;
- Students from AgroParisTech enrolled in the IODAA track (From Information to Decision through Analysis and Learning), all of whom complete a double degree year with the M2 BIBS-IA;
- (Subject to availability) Students who have completed an M1 equivalent to the M1 BIBS-IA, i.e., who have acquired equivalent knowledge and skills in biology, mathematics, and computer science (see the M1 BIBS-IA program for further details).
Students who already hold a Master’s degree in Bioinformatics are not eligible. Students holding a Master’s degree in a field other than bioinformatics (biology, computer science, or mathematics) may apply for entry into the M1. However, their applications will be considered less of a priority than those from students applying directly after a Bachelor’s degree.
The M2 BIBS-IA track includes a mandatory 4- to 6-month internship, taking place each year between March and August. The program also features several teaching units based on project-based learning.
Les seuls étudiants de l'Université Paris-Saclay ayant un M1 équivalent au M1 BIBS-IA sont les étudiants de la mention Bioinformatique issus du M1 GENIOMHE-AI. Des passerelles sont donc possibles (sur candidature) pour les étudiants du M1 GENIOMHE-AI qui souhaiteraient poursuivre en M2 BIBS-IA où les cours sont dispensés en français.
Le Master Bioinformatique vise à une insertion professionnelle des étudiants, tant dans le monde académique (recherche dans les laboratoires ou gestion de plates-formes en bioinformatique), que dans le secteur privé (entreprises de biotechnologies, industries pharmaceutiques, agro-industries). Ils peuvent ainsi :
- accéder à des postes d’ingénieur en bioinformatique, typiquement en R&D, par exemple : concepteur et développeur de Bases de Données et sites web en biologie, santé, agronomie ou environnement ; concepteur et développeur d'algorithmes et de logiciels de bioinformatique ; analyste de données biomédicales ; gestionnaires de plates-formes en bioinformatique.
- ou poursuivre par une thèse en Sciences de la Vie et de la Santé ou en Informatique avec une orientation bioinformatique, par exemple dans les Ecoles doctorales de Paris-Saclay : STIC (Sciences et Technologies de l'Information et de la communication), Interfaces, SDSV (Structure et Dynamique des Systèmes Vivants) et BioSigne (Signalisations et réseaux intégratifs en biologie).
Ecologie Systématique et Evolution
Evolution, génomes, comportement et écologie
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
Molecular Imaging Research Center - DRF/JACOB
Données et Algorithmes pour une ville intelligente et durable
Laboratoire de biologie et pharmacologie appliquée
Mathématiques et Informatique Appliquées - Paris
Institute for Integrative Biology of the Cell - DRF/JOLIOT.
Institut de Biologie Intégrative de la Cellule.
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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Certificate of English level (compulsory for non-English speakers) or GMAT / GRE test results.
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Detailed description and hourly volume of courses taken since the beginning of the university program.
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VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
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The application procedure, which depends on your nationality and your situation is explained here : https://urlz.fr/i3Lo.
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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.