Biologie-santé
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 : 2024-2025

Présentation

Présentation

Consulter la page du Master 2 sur le site de l'Université Paris-Saclay

 

Programme

Télécharger le règlement des études et charte des examens

 

Semestre 3

  •  Refresher Courses

    • Introduction to Biology

    • Introduction to Mathematics and Computer Science for Biology

  •  Core Modules (17.5 crédits)

    • Genome Engineering (3.5 crédits)

    • Metabolic Engineering (3.5 crédits)

    • Biosafety and Ethical Questions on Synthetic Biology (2 crédits)

    • Synthetic Biology Practical Course (5 crédits)

    • Biological Parts and Devices (3.5 crédits)

  •  Elective Modules (12.5 crédits)
    •  Choix 1

      1 option(s) au choix parmi 11 :

      • Computional Inference and Modeling of Biological Networks (2.5 crédits)

      • Design of Experiments and Machine Learning in Synthetic (2.5 crédits)

      • Network Systems : Modeling and Analysis (2.5 crédits)

      • Environmental Biotech and Upstream Processing (2.5 crédits)

      • Statistical Analysis of Large Scale Gene Expression Data (2.5 crédits)

      • Chips for Molecular Evolution (2.5 crédits)

      • Nanobiology (2.5 crédits)

      • Rational Protein Engineering (2.5 crédits)

      • Computional Protein Design (2.5 crédits)

      • Cell Factory Design (2.5 crédits)

      • Industrial Biotech and Downstream (2.5 crédits)

    •  Choix 2

      1 option(s) au choix parmi 11 :

      • Computional Inference and Modeling of Biological Networks (2.5 crédits)

      • Design of Experiments and Machine Learning in Synthetic (2.5 crédits)

      • Network Systems : Modeling and Analysis (2.5 crédits)

      • Environmental Biotech and Upstream Processing (2.5 crédits)

      • Statistical Analysis of Large Scale Gene Expression Data (2.5 crédits)

      • Chips for Molecular Evolution (2.5 crédits)

      • Nanobiology (2.5 crédits)

      • Rational Protein Engineering (2.5 crédits)

      • Computional Protein Design (2.5 crédits)

      • Cell Factory Design (2.5 crédits)

      • Industrial Biotech and Downstream (2.5 crédits)

    •  Choix 3

      1 option(s) au choix parmi 11 :

      • Computional Inference and Modeling of Biological Networks (2.5 crédits)

      • Design of Experiments and Machine Learning in Synthetic (2.5 crédits)

      • Network Systems : Modeling and Analysis (2.5 crédits)

      • Environmental Biotech and Upstream Processing (2.5 crédits)

      • Statistical Analysis of Large Scale Gene Expression Data (2.5 crédits)

      • Chips for Molecular Evolution (2.5 crédits)

      • Nanobiology (2.5 crédits)

      • Rational Protein Engineering (2.5 crédits)

      • Computional Protein Design (2.5 crédits)

      • Cell Factory Design (2.5 crédits)

      • Industrial Biotech and Downstream (2.5 crédits)

    •  Choix 5

      1 option(s) au choix parmi 11 :

      • Computional Inference and Modeling of Biological Networks (2.5 crédits)

      • Design of Experiments and Machine Learning in Synthetic (2.5 crédits)

      • Network Systems : Modeling and Analysis (2.5 crédits)

      • Environmental Biotech and Upstream Processing (2.5 crédits)

      • Statistical Analysis of Large Scale Gene Expression Data (2.5 crédits)

      • Chips for Molecular Evolution (2.5 crédits)

      • Nanobiology (2.5 crédits)

      • Rational Protein Engineering (2.5 crédits)

      • Computional Protein Design (2.5 crédits)

      • Cell Factory Design (2.5 crédits)

      • Industrial Biotech and Downstream (2.5 crédits)

    •  Choix 4

      1 option(s) au choix parmi 11 :

      • Computional Inference and Modeling of Biological Networks (2.5 crédits)

      • Design of Experiments and Machine Learning in Synthetic (2.5 crédits)

      • Network Systems : Modeling and Analysis (2.5 crédits)

      • Environmental Biotech and Upstream Processing (2.5 crédits)

      • Statistical Analysis of Large Scale Gene Expression Data (2.5 crédits)

      • Chips for Molecular Evolution (2.5 crédits)

      • Nanobiology (2.5 crédits)

      • Rational Protein Engineering (2.5 crédits)

      • Computional Protein Design (2.5 crédits)

      • Cell Factory Design (2.5 crédits)

      • Industrial Biotech and Downstream (2.5 crédits)

Semestre 4