Master Data Management in Biosciences

NATIONAL DEGREE OF MASTER OF SCIENCES ACCREDITED
BY THE UNIVERSITY OF VALENCIENNES

NATIONAL DEGREE OF MASTER OF SCIENCES ACCREDITED
BY THE UNIVERSITY OF VALENCIENNES

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Our master’s program aims at training high level professionals in the field of data in biosciences from data collection to data mining including quality control, splicing, statistical analysis… Students are also meant to have a strong human and ethical background. Through a multidisciplinary approach, a multicultural environment and professors from academia and industry, students have access to a multi-perspective approach to the field and the possibility to directly join the job market or to pursue their doctoral studies after graduation.

Why choose the Master's in 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
Students per class
0
of classes delivered by industry professionals
0 %
of classes are taught in english
0 %

Program

The subjects and credits presented in this program are subject to change without altering the essential content and core orientations of the training.

Master 1

MASTER 1 – Full Time Class

Semester 1
ECTS
Cellular and Molecular Biology of Diseases 2
Biostatistics 1 4
Bioinformatics 1 4
Databases 1 3
Applied Biotechnologies 1 2
Languages 2
Communication Tools/Dataviz 2
Basics in Cellular and Molecular Biology (For students from Computer Sciences Background) 6
Algorithms (For students from Life and Health Sciences) 6
Semester 2
ECTS
Celular and Molecular Biology of Diseases 2 2
Biostatistics 2 3
Bioinformatics 2 4
Object Oriented Programming 3
Data Structure and Complexity 5
Introduction to AI and machine learning 3
Regulations and Laws 2
Languages 2
Professionalization (internship) 2 pathways : research oriented or industry oriented 6
TOTAL 60
 

MASTER 2 – Full Time or Part Time Class

Semester 1
ECTS
Introduction to translational research and clinical trials 3
Advances in Biosciences – Seminars 1 2
Applied Biotechnologies 2 3
Operational tools for data management in biosciences 4
Introduction to AI & Machine Learning 2 3
Mechanisms of Data protection 2
Webdev 3
Innovation Management 2
European Environment and Policies in Life sciences and public health 3
Responsible Research and Innovation 3
Languages 2
Semester 2
ECTS
Methodology of epidemiologic studies 3
Advances in Biosciences – Seminars II 2
Computational System Biology 5
Data Mining in Biosciences 4
Data Model – Big Data 4
Communication Techniques 2
Languages 2
Professionalization
3 pathways : research internship, industry internship or apprenticeship
8
TOTAL 60

 

Who is the Master's in Data Management in Biosciences for?

This Master’s program is designed for students holding a degree in computer science, mathematics, engineering sciences, or related fields, with a minimum of a Bachelor’s degree (BAC+3) or equivalent.

  • Students who want to join a fast-growing sector and embrace a career combining biosciences, Big Data and the human-machine interface.
  • B1 Level in English is mandatory (B2 is recommended).

How to apply ?

Applications for the Master’s program are submitted via the Mon Master platform for French students and those from a country within the European Economic Area.

Official name of the Master’s in Data Management in Biosciences on the ‘Mon Master’ platform

  • Sciences, Technologie, Santé : mention Informatique
February 2nd, 2026 Publication of the training programs opening in September 2026
From February 17th to March 21st, 2026 Application submission period
From March 21st, 2026 Review of standard applications by institutions
For apprenticeship applications, results will be communicated on April 30th.
From June 3rd to June 16th, 2026 Main admission phase
Offers for apprenticeship programs will be available on June 12th.
From June 19th to July 19th, 2026 Supplementary admission phase
June 19th–25th: Submission of new applications and ranking of all applications by order of preference.
June 26th–July 9th: Review of new applications.
July 10th–19th: Admission decisions.
From July 20th to August 30th, 2026 Withdrawal management period

For students outside the European Economic Area

Or: if you hold a Master 1 and wish to apply for Master 2

The parallel admission process for Master’s programs is based on a review of the application file, which must be accompanied by an interview with the candidate.

✅ Create your ‘Agora’ account in the admissions portal

✅ Prepare your application file: follow the online steps in your admissions portal. Submit your complete application file on the admissions platform.

✅ Review of the application file by the administrative team
✅ If the application is accepted: the interview invitation is sent by email
✅ Selection interview
✅ Admission approval or rejection
✅ Online enrollment in your admissions portal
✅ Confirmation of your enrollment
 

The academic file to be sent :

✅ Application form (generated during the online application, to be printed)
✅ Cover letter + CV
✅ Non-refundable online payment of €85 for application fees, payable to ICL (during registration on the website)
✅ Copy of the Baccalaureate and higher education diplomas obtained
✅ Copy of semester transcripts from post-baccalaureate studies

For international applicants

✅ Birth certificate extract

✅ Official certified translation of the most recent diplomas obtained

✅ Copy of the residence permit

International students (excluding Erasmus)

Applicants residing abroad, outside the European Economic Area, must submit their application through the cultural services of the French Embassy in their country of residence or via the Campus France platform: www.campusfrance.org

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What careers after this master's degree ?

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

  • Biostatictician
  • Bioinformatician
  • Data analyst
  • Data Manager
  • Data Scientist
  • 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

Academic Supervisor

allouche farouk

Farouk ALLOUCHE

JPO FGES
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