M1 Genomics Informatics Mathematics and Artificial Intelligence for Health and Environment (GENIOMHE)

M1 Genomics Informatics Mathematics and Artificial Intelligence for Health and Environment (GENIOMHE) is a Masters program taught at Université Paris-Saclay, France. Intake: September to March. The program is offered in campus-based modes with full-time options.

The M1 Genomics Informatics Mathematics and Artificial Intelligence for Health and Environment (GENIOMHE) is a full-time Master’s degree specialising in Bioinformatics / Computational Biology. It trains specialists in bioinformatics for genomics and precision medicine. Students study algorithmics, programming languages, and techniques in data science, artificial intelligence, statistics, and databases for analyzing massive data.

The programme runs from September to March. A mandatory two-month internship takes place from April onwards in an academic research laboratory or a company. By the end of M1, students develop skills in genomics and human genetics, genomic data analysis, bioinformatics tools and phylogenetics, databases, machine learning and data mining, deep learning, programming, biological systems modeling, multivariate statistics, and projects that include FAIR principles. Two opening modules are mandatory: one on sustainable development and one chosen from a list.

Modules

• Methods for Genomics 1
• Bioinformatic tools

The minimum requirements for admission in M1 Genomics Informatics Mathematics and Artificial Intelligence for Health and Environment (GENIOMHE) at Université Paris-Saclay for all applicants (Domestic or International) are:

• program specific academic requirment set by Université Paris-Saclay.
• English Language OR any other language requirments as set by Université Paris-Saclay as pre-requiste for admission in M1 Genomics Informatics Mathematics and Artificial Intelligence for Health and Environment (GENIOMHE).

Note: Please check the university website in the link below.

Students who have acquired knowledge and skills in both Biology and Informatics during their course (for example: Joint honours in Life Sciences-Informatics, Paris-Saclay undergraduate degree in selective Life Sciences-Info, Life Sciences undergraduate degree in Bioinformatics, undergraduate computing degree in Bioinformatics, Engineering school, etc.). Students who have completed a course in Biology but have an interest in Informatics and have acquired complementary knowledge and skills in this field.

• Motivation letter.
• All transcripts of the years / semesters validated since the high school diploma at the date of application.
• Certificate of English level.
• Curriculum Vitae.
• Detailed description and hourly volume of courses taken since the beginning of the university program.
• VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

Please check detail of study units at https://www.universite-paris-saclay.fr/en/education/master/bioinformatics/computational-biology/m1-genomics-informatics-mathematics-and-artificial-intelligence-health-and-environment-geniomhe

• Après Master + Doctorat: chercheur ou enseignant-chercheur
• Expert science des données
• Expert en gestion de données
• Gestionnaire de plateforme
• Ingénieur Bioinformaticien (Recherche et Développement)
• Après un Master: Data scientist
• Après un Master: Spécialiste en intelligence artificielle (IA)
• Ingénieur de recherche ou d'études
• enseignant.e-chercheur.se (après un doctorat)
• data scientist
• Consultant·e