M2 Genomics Informatics and Mathematics for Health and Environment
With the advent of high-speed data processing technology (genome sequencing, RNA and protein expression, metabolomics), different fields in life sciences (pharmaceutical industry, hospitals, biotechnologies, agro-industry, environment and fundamental research) need researchers and engineers with sound knowledge in biology and the ability to treat and analyse large quantities of heterogeneous data. This master's program, with a Biocomputing specialization, is a multidisciplinary program that satisfies this demand by enabling students to:
understand biology's complex and diverse issues in order to respond to current needs in research and innovation in academic research, the biotechnology industry, pharma and health;
deal with new challenges brought about by the evolution and rapid development of high-speed data production technologies;
master techniques associated with the analysis and modelling of biomedical data;
be autonomous when managing application development projects in a variety of programming languages, to propose innovative IT solutions and to carry out the analyses and necessary developments to test new methods and hypotheses for the living.
Evaluate and optimise the various computer and statistical methods that are to be implemented in the analysis of genomic Big Data, particularly in the context of precision medicine.
Analyse a biological or precision medicine problem and design a model or a resolution of this problem through the use of existing computer and statistical methods or by proposing new ones.
Join a project and work collaboratively.
Write and orally present a project and scientific results in English.
Bioinformaticians and data scientists specialising in precision medicine, both as analysts and as designers of new methods.
Openings for GENIOMHE M2 include:
- Access to engineering positions in bioinformatics, typically in Research and Development, for example:
Designer and developer of bioinformatics algorithms and software
Biomedical data analyst
Designer and developer of Databases and websites in biology, health, agronomy or environment
Manager of bioinformatics platforms
- Further studies at doctoral level.
Informatique, Biologie Intégrative & Systèmes Complexes
Laboratoire de Mathématiques et Modélisation d'Evry
Laboratoire Européen de Recherche pour la Polyarthrite rhumatoïde
Institut des Sciences des Plantes de Paris-Saclay
Institut Génomique - DRF/JACOB
Genoscope - DRF/JACOB
Approches génétiques intégrées et découvertes thérapeutiques pour les maladies rares
Centre National de Recherche en Génomique Humaine - DRF/JACOB
Vectorologie et thérapeutiques anticancéreuses
Structure-Activité des Biomolécules Normales et Pathologiques.
Le semestre 1 du master comprend un ensemble d'UEs toutes obligatoires, organisées en 5 groupes.
|Computational Systems Biology and Network Medicine||3||15||9|
|Bioinformatics of RNA and non-coding world||2||9||12|
|Metagenomics and Multiomics for microbiome studies||2.5||9||12|
|Advanced functional genomics||3||15||9|
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Curriculum EU (description of the units of education followed) of the last two years.
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
Certificate of English level (compulsory for non-English speakers).
Choice sheet of M2 (obligatory for the candidates registered in M1 at the University Paris-Saclay) to download on https://www.universite-paris-saclay.fr/en/admission/apply-master-programmes.