New Master Program for 2025 School Year

M1 S1 Common core (12 ECTS)
Phd Track
Innovative Track
Molecular Chemistry
(12 ECTS)		 Physical Chemistry
(12 ECTS)
Options (6 ECTS)
S2 Common core (6 ECTS)
ChemHealth
(15 ECTS)		 ChemBiotech
(15 ECTS)		 ChemEnergies
(15 ECTS)		 NumChem & AI
(15 ECTS) (NEW 2025)
Internship (2-5 months, 9 ECTS)
M2 S3 Common core (9 ECTS)
Phd Track
Innovative Track
ChemHealth
(15 ECTS)		 ChemBiotech
(15 ECTS)		 ChemEnergies
(15 ECTS)		 NumChem & AI
(15 ECTS) (NEW 2026)
S4 Collaborative projects (3 ECTS)
Internship (5 months, 27 ECTS)

SEMESTER 1

COMMON CORE
– Scientific communication – Sustainable Chemistry – Chemistry and data science – Molecule and surface characterization
ITINERARY 1 – Molecular Chemistry
– Strategies in organic synthesis – Biological chemistry – Chemistry of biomolecules – Heteroelements in organic synthesis
ITINERARY 2 – Physical Chemistry
– Basis of materials – Basis of catalysis – Basics of surface chemistry – Basis of electrochemistry
OPTIONS

– Physico-chemistry of biomolecular interactions // mandatory for ChemBiotech

– Coordination chemistry // mandatory for ChemHealth

– Basis of computational chemistry // mandatory for NumChem & AI

– Supramolecular and soft matter

– PhD Track // selective option
– Innovative Track // selective option

SEMESTER 2

COMMON CORE

– Molecule and surface characterization 2

– Tutored project

– 2 to 5 months internship in research laboratories or industries, in France or abroad 

TRACK – Chemistry for Health - CHEMHEALTH
– From bonding to catalysis – Organometallic chemistry – Orbitals, reactivity, mechanism –Nuclear Magnetic Resonance –Lab skills – Molecular Chemistry
TRACK – Chemistry for Biothechnology - CHEMBIOTECH
– Surface and biosensing – Nuclear Magnetic Resonance – UE mutualized with ChemHealth track – Biotechnologies (practicals) – Optical spectroscopic methods for biomolecule analysis – Physicochemistry of Nanoobjects  
TRACK – Numerical Chemistry & AI - NUMCHEM
– Computational Chemistry II – Artificial Intelligence for Chemists – MultiPhysics Modeling – Lab skills Molecular or Mulitphysic modeling – From bonding to catalysis or Inorganic nanomaterials
TRACK – Chemistry for Energies - CHEMENERGIES
– PhysicoChemistry of semiconductors – Macro- to nanostructuration of surfaces – Inorganic naomaterials from fundamentals to pratice UE mutalized with NumChem track – Multiphysics Modeling UE mutalized with NumChem track – Lab skills – Electrochemical methodologies

SEMESTER 3

COMMON CORE
– Green chemistry project – Chem 2.0 : Artificial Intelligence for Chemists & research seminar – Collaborative research project – Part 1 – Option (2 courses to be picked among the list « optional teaching units » below)
TRACK – Chemistry for Health - CHEMHEALTH

– Selective methods for medicinal chemistry

– Chemical biology

– Chemistry of RNA, DNA and proteins for new therapeutic strategies

– Bio-inspired catalysis

– NMR of biomolecules:  strucutre, dynamics and interactions

TRACK – Chemistry for Biothechnology - CHEMBIOTECH
– Biomolecular diagnostics and DNA technologies – Nanomedicine – Bioimaging – Biomaterials and smart devices – Metabolomics
TRACK – Numerical Chemistry & AI - NUMCHEM
– Computational photochemistry – Modeling rare events – Materials and nanomaterials modelling – Biomolecular modeling – From characterization to Big Data
TRACK – Chemistry for Energies - CHEMENERGIES
– Advanced electrochemistry – Electrochemical energy storage – Materials, catalysis, photocatalysis, electrocatalysis – Photoconversion –From characterization to Buig Data
OPTIONAL TEACHING UNITS
– Synthesis of bioactive compounds – Medicinal chemistry – Biomolecular modeling – Large instrumenbts and laboratory platforms: Technoiques and Applications – Materials and nanomaterials modeling – Metabolomics – Phd or Innovative Tracks

SEMESTER 4

COMMON CORE

– Collaborative Research Project – part 2

–  Six-months internship in academic research laboratories