Master Data Management in Biosciences

Training future professionals in the fields of data management, from data collect to data mining.

Students will also go through quality control, splicing, data analysis and other aspects of data processing in the field of biosciences with a strong human and ethic formation.

Vous êtes étudiant français ou d’un pays membre de l’espace économique européen et souhaitez postuler en Master management des entreprises, accédez directement à l’espace de candidature via la plateforme Mon Master

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For who ?

Students in bachelor third year in life sciences, digital sciences, health or any other related program

Students are given the opportunity to pursue their studies either by attending full time classes « formation initiale » or having a part time working experience called « alternance » (M1 and M2). This part time working experience can be chosen during the two years of master or only the second year of master

Classes are mainly taught in English

Appetences required :

digital tools
Data and Informatics
team spirit
Soft Skills
Intercultural and social differences sensitivity

Why Should I choose this Master Data Management in biosciences ?

Training future professionals in the fields of data management in biosciences

  • Data collect
  • Data mining
  • Quality control
  • Splicing
  • Data Analysis
  • Hard Data Management
  • Strong Human, ethic and deontological sensibility

What job after this Master ?

The Master Data Management in Biosciences prépares our students to many jobs such as :

  • Biostatictician
  • Bioinformatician
  • Data analyst
  • Data Manager
  • Project coordinator in health
  • Clinical assay coordinator

You can work in many fields, such as :

  • Health organisations
  • Pharma industry
  • Economy and agrofood industry
  • Clinical research
  • Environment
  • Public health institutions (ARS, HAS, ANSM)
  • Life and health companies



MASTER 1 – Full Time Class

Semestre 1
BCC 1 – Biosciences7  crédits
Cellular and Molecular Biology of Diseases4
Biostatistics I3
BCC 2 – Data Sciences8 crédits
Bioinformatics I4
Databases I4
BCC 3 – Communication and Management7 crédits
Project Management3
Communication Tools / Dataviz2
BCC 4 – Probability and Statistics3 crédits
Probability and Statistics3
BCC 5 – Remediation – Elective Course (Cours optionnels)5 crédits
Basics in Cellular and Molecular Biology (for students from Computer Sciences background)5
Algorithms (for students from Life and Health Sciences background)5



Semestre 2
BCC 1 – Biosciences5 crédits
Scientific Method2
Biostatistics II3
BCC 2 – Data Sciences15 crédits
Bioinformatics II4
Object Oriented Programming3
Data Structure and Complexity4
Databases II4
BCC 3 – Communication and Management4 crédits
Regulations and Laws2
BCC 6 – Professionnalization6 crédits
Pathway 1 : research oriented
Project in data management in biosciences (Internship)3
Thesis (Research Thesis)3
Pathway 2 : industry oriented
Project in data management in biosciences (Apprenticeship)3


MASTER 2 – Full Time or Part Time Class

Semestre 3
BCC 1 – Biosciences5 crédits
Introduction to translational research and clinical trials3
Advances in Biosciences – Seminars I2
BCC 2 – Data Sciences13 crédits
Applied Biotechnologies I3
Operational tools for data management in biosciences4
Introduction to AI & Machine Learning4
Mechanisms of Data protection2
BCC 3 – Management and Communication12 crédits
Innovation Management3
European Environment and Policies in life sciences and public health3
Responsible Research and Innovation3



Semestre 4
BCC 1 – Biosciences5 crédits
Methodology of epidemiologic studies3
Advances in Biosciences – Seminars II2
BCC 2 – Data Sciences13 crédits
Applied Biotechnologies II3
System and data management in biosciences4
Data Mining in biosciences3
Data Model – Big data3
BCC 3 – Communication and Management5 crédits
Communication Techniques2
BCC 6 – Professionnalization7 crédits
3 Pathways
Research internship7
Industry internship7