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.
Opens in September 2023 !
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 :
Data and Informatics
Soft Skills
Professionalization
Biosciences
Intercultural and social differences sensitivity
Interdisciplinarity
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
Program
Master 1 – Full time class
1st Semester – 30 ECTS
- Life & Health Sciences
2 ECTS – Applied Biotechnologies 1
2 ECTS – Cellular and Molecular Biology of Diseases
3 ECTS – Scientific Method
- Bioinformatics & Data Management
3 ECTS – Theoretical Basis in Maths 1
3 ECTS – Bioinformatics 1
3 ECTS – Biostatistics 1
3 ECTS – Databases 1
- Humanities ans Social Sciences
2 ECTS – Scientific English (B2) – 1
2 ECTS – Communication Techniques
2 ECTS – Communication Tools / Dataviz
2 ECTS – Project Management
- Upgrade sessions
3 ECTS – Basics in Cellular and Molecular Biology
3 ECTS – Introduction to Python
2nd Semester – 30 ECTS
- Life & Health Sciences
2 ECTS – Applied Biotechnologies 2
2 ECTS – Advances in Medical Biology – Seminars 1
3 ECTS – Methodology of epidemiologic studies
- Bioinformatics & Data Management
3 ECTS – Theoretical Basis in Maths 2
3 ECTS – Bioinformatics 2
3 ECTS – Biostatistics 2
3 ECTS – Databases 2
- Humanities ans Social Sciences
2 ECTS – Scientific English (B2) – 2
2 ECTS – Regulations and Laws
2 ECTS – PIMs
2 ECTS – European Environment and Policies in life sciences and public health
- Bioinformatics & Data Management
3 ECTS – Project in data management in biosciences (training)
Carrer developement & professional project
Master 2 – Full time or Part time class
3rd Semester – 30 ECTS
- Life & Health Sciences
3 ECTS – Introduction to transnational research and clinical Assays
2 ECTS – Advances in Medical Biology – Seminars 2
- Bioinformatics & Data Management
3 ECTS – Operational tools for data management in biosciences
2 ECTS – Big Data in biosciences
3 ECTS – Biostatistics 3
3 ECTS – Databases 3
- Professionnalization
9 ECTS – Training or Alternance
- Humanities and Social Sciences
3 ECTS – Innovation Management
2 ECTS – Advanced English (C1) – 1
4th Semester – 30 ECTS
- Life & Health Sciences
2 ECTS – Advances in Medical Biology – Seminars 3
- Bioinformatics & Data Management
6 ECTS – System and data management in biosciences
2 ECTS – Data mining in biosciences
- Bioinformatics & Data Management
9 ECTS – Training or Alternance
5 ECTS – Master Thesis
- Humanities and Social Sciences
2 ECTS – Ethics and deontology
2 ECTS – Responsible Research and Innovation : training to Open Science
2 ECTS – Advanced English (C1) – 2
RESPONSABLES PÉDAGOGIQUES
