Mention : Sciences du Médicament et des Produits de Santé.
Keywords : Pharmacokinetics (PK), Pharmacodynamics (PD), Modelling, Statistics, Programming, Data analysis, Drug Development, Precision dosing
BACKGROUND From drug development to dose individualization in clinical settings, model-informed approaches have become essential to solve dose optimization issues.
The aim of this Master Degree is to teach the statistical, pharmacological and programming basics necessary to understand, build and take advantage of PK/PD models.
OPEN TO Master 1 students with a background in pharmacology, mathematics, statistics
Pharmacy students (6th-year Industry branch)
Pharmacy residents (i.e. Interne en Biologie Médicale, Pharmacie Hospitalière, et Innovation Pharmaceutique et Recherche) and Medical residents
Veterinary students : Last year of specialization
French or International candidate with equivalent background
PRACTICAL Calendar: Starting in September 2022, Duration 1 year
European credits: 60 ECTS
Teaching language: English
Organization: Alternating training (Formation en alternance)
  • Theoretical and interactive courses (Toulouse, France)
  • Training in academic/industry data analysis unit (Eur. Union)
  • OPPORTUNITY Possibility to apply for a Ph.D. in Pharmacometrics
    Career: Pharmacometrician in
  • Pharmaceutical Industry
  • Contract Research Organization
  • Regulatory agencies
  • Academia

  • UT3 UT3
    Analyzing individual PK data (6 ECTS)
    Linear PK concept ; Model-dependent analysis : main models, mathematical concepts ; NCA (non-compartmental analysis) ; « Two-stage approach » and clinical trials ; Patients with impaired renal or hepatic function, elderly, pediatrics, drug-drug interactions ; Analytical issues : assay validation ; PK and drug regulatory (human and veterinary drugs) : Bioequivalence ; Applied exercises : Personal tasks
    Pre- & Post-Processing (3 ECTS)
    Pre-processing ; Data management ; Building of dataset ; Post-processing / data science ; Applied exercises : models evaluations, goodness-of-fit (R) ; Data simulations
    Population PK analysis (6 ECTS)
    Concepts and methodologies in POP-PK ; Use of NONMEM, MONOLIX, R (tutorial classes) ; POP-PK applied to Therapeutic Drug Monitoring, medical imagery ; Applied exercises : Personal tasks ; Machine learning applied to PK
    Physiologically-based PK (3 ECTS)
    Principles of PB/PK ; Applications of PB/PK : interspecies extrapolations, in vitro/in vivo extrapolations ; Building a PB/PK model from physiological parameters and drug characteristics ; Simulations and interpretations
    PK/PD modelling (6 ECTS)
    Pharmacodynamics ; Building of PK/PD models ; PK/PD analysis of data : applied exercises ; PK/PD workshop
    Application of PK/PD (3 ECTS)
    Regulatory for human and veterinary drugs : bioequivalence ; Veterinary drugs ; PK/PD of antibiotics ; PK/PD in oncology
    Project development (3 ECTS)
    SEMESTER 2 - 30 ECTS
    Full time internship
    TEACHERS Sarah Baklouti, Cécile Bon, Alain Bousquet-Mélou, Étienne Chatelut, Didier Concordet, Philippe Cremades, Cedric Dray, Aude Ferran, Peggy Gandia, Marlène Lacroix, Félicien Le Louedec, Fabienne Thomas, Alexis Viel, Mélanie White-Koning, Jean-Baptiste Woillard
    CONTACT Chairmen and contact:
  • Pr. A. Bousquet-Mélou (alain.bousquet-melou@envt.fr)
  • Pr. E. Chatelut (chatelut.etienne@iuct-oncopole.fr)
    Application: eCandidat (https://ecandidat.univ-tlse3.fr/)