- Bloc 1 : Refresher and Supplementary Courses
1 option(s) au choix parmi 4 :
Advanced introduction to Mathematics and Computer
Innovation and Entrepreneurship in Biotechnology (3 crédits)
Introduction to Mathematics and Computer Sciences for Bio (3 crédits)
Introduction to Biology
- Bloc 2 : Core Modules (17.5 crédits)
Metabolic Engineering (3.5 crédits)
Genome Engineering (3.5 crédits)
Synthetic Biology Practical Course (5 crédits)
Biological Parts and Devices (3.5 crédits)
Biosafety and Epistemology Questions on Synthetic Biology (2 crédits)
- Bloc 3 : Elective Modules (12.5 crédits)
- Option à choix 3
1 option(s) au choix parmi 12 :
Nanobiology (2.5 crédits)
Machine Learning in Synthetic Biology and Metabolic Engineer (2.5 crédits)
Environmental Biotech and Upstream Processing (2.5 crédits)
Cell Factory Design (2.5 crédits)
Rational Protein Engineering (2.5 crédits)
Experimental Design and Statistical Analysis for Next Genera (2.5 crédits)
Computational DNA Nanotechnology (2.5 crédits)
Downstream Processing for Industrial Biotechnologies (2.5 crédits)
Computational Protein Design (2.5 crédits)
Network Systems : Modeling and Analysis (2.5 crédits)
Chips for Molecular Evolution (2.5 crédits)
Cell-Free Systems (2.5 crédits)
- Option à choix 4
1 option(s) au choix parmi 12 :
Nanobiology (2.5 crédits)
Machine Learning in Synthetic Biology and Metabolic Engineer (2.5 crédits)
Environmental Biotech and Upstream Processing (2.5 crédits)
Cell Factory Design (2.5 crédits)
Rational Protein Engineering (2.5 crédits)
Experimental Design and Statistical Analysis for Next Genera (2.5 crédits)
Computational DNA Nanotechnology (2.5 crédits)
Downstream Processing for Industrial Biotechnologies (2.5 crédits)
Computational Protein Design (2.5 crédits)
Network Systems : Modeling and Analysis (2.5 crédits)
Chips for Molecular Evolution (2.5 crédits)
Cell-Free Systems (2.5 crédits)
- Option à choix 5
1 option(s) au choix parmi 12 :
Nanobiology (2.5 crédits)
Machine Learning in Synthetic Biology and Metabolic Engineer (2.5 crédits)
Environmental Biotech and Upstream Processing (2.5 crédits)
Cell Factory Design (2.5 crédits)
Rational Protein Engineering (2.5 crédits)
Experimental Design and Statistical Analysis for Next Genera (2.5 crédits)
Computational DNA Nanotechnology (2.5 crédits)
Downstream Processing for Industrial Biotechnologies (2.5 crédits)
Computational Protein Design (2.5 crédits)
Network Systems : Modeling and Analysis (2.5 crédits)
Chips for Molecular Evolution (2.5 crédits)
Cell-Free Systems (2.5 crédits)
- Option à choix 1
1 option(s) au choix parmi 12 :
Nanobiology (2.5 crédits)
Machine Learning in Synthetic Biology and Metabolic Engineer (2.5 crédits)
Environmental Biotech and Upstream Processing (2.5 crédits)
Cell Factory Design (2.5 crédits)
Rational Protein Engineering (2.5 crédits)
Experimental Design and Statistical Analysis for Next Genera (2.5 crédits)
Computational DNA Nanotechnology (2.5 crédits)
Downstream Processing for Industrial Biotechnologies (2.5 crédits)
Computational Protein Design (2.5 crédits)
Network Systems : Modeling and Analysis (2.5 crédits)
Chips for Molecular Evolution (2.5 crédits)
Cell-Free Systems (2.5 crédits)
- Option à choix 2
1 option(s) au choix parmi 12 :
Nanobiology (2.5 crédits)
Machine Learning in Synthetic Biology and Metabolic Engineer (2.5 crédits)
Environmental Biotech and Upstream Processing (2.5 crédits)
Cell Factory Design (2.5 crédits)
Rational Protein Engineering (2.5 crédits)
Experimental Design and Statistical Analysis for Next Genera (2.5 crédits)
Computational DNA Nanotechnology (2.5 crédits)
Downstream Processing for Industrial Biotechnologies (2.5 crédits)
Computational Protein Design (2.5 crédits)
Network Systems : Modeling and Analysis (2.5 crédits)
Chips for Molecular Evolution (2.5 crédits)
Cell-Free Systems (2.5 crédits)
- Option à choix 3
- Bloc 4 : Research Internship (30 crédits)
Research Intenship (30 crédits)
- Facultatif engagement étudiant
1 option(s) facultative(s)
Engagement Etudiant - Point de bonification
Biologie moléculaire et cellulaire
M2 - Systems & synthetic biology
Domaine: Sciences, Technologies, Santé
Labellisation : Formation Paris-Saclay
Nature de la formation : Diplôme national de l'Enseignement Supérieur
Composante : UFR Sciences Fondamentales Appliquées (SFA)
Année universitaire : 2026-2027
Présentation
Lieu d'enseignement principal : Université d'Evry-Val-d'Essonne
Consulter la page du Master 2 sur le site de l'Université Paris-Saclay
