NATIONAL DEGREE OF MASTER OF SCIENCES ACCREDITED
BY THE UNIVERSITY OF VALENCIENNES
NATIONAL DEGREE OF MASTER OF SCIENCES ACCREDITED
BY THE UNIVERSITY OF VALENCIENNES
NATIONAL DEGREE OF MASTER OF SCIENCES ACCREDITED
BY THE UNIVERSITY OF VALENCIENNES
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.
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
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 – Full Time Class
| Semestre 1 | |
| BCC 1 – Biosciences | 7 crédits |
| Cellular and Molecular Biology of Diseases | 4 |
| Biostatistics I | 3 |
| BCC 2 – Data Sciences | 8 crédits |
| Bioinformatics I | 4 |
| Databases I | 4 |
| BCC 3 – Communication and Management | 7 crédits |
| Project Management | 3 |
| Languages | 2 |
| Communication Tools / Dataviz | 2 |
| BCC 4 – Probability and Statistics | 3 crédits |
| Probability and Statistics | 3 |
| 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 – Biosciences | 5 crédits |
| Scientific Method | 2 |
| Biostatistics II | 3 |
| BCC 2 – Data Sciences | 15 crédits |
| Bioinformatics II | 4 |
| Object Oriented Programming | 3 |
| Data Structure and Complexity | 4 |
| Databases II | 4 |
| BCC 3 – Communication and Management | 4 crédits |
| Regulations and Laws | 2 |
| Languages | 2 |
| BCC 6 – Professionnalization | 6 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 |
| Report | 3 |
MASTER 2 – Full Time or Part Time Class
| Semestre 3 | |
| BCC 1 – Biosciences | 5 crédits |
| Introduction to translational research and clinical trials | 3 |
| Advances in Biosciences – Seminars I | 2 |
| BCC 2 – Data Sciences | 13 crédits |
| Applied Biotechnologies I | 3 |
| Operational tools for data management in biosciences | 4 |
| Introduction to AI & Machine Learning | 4 |
| Mechanisms of Data protection | 2 |
| BCC 3 – Management and Communication | 12 crédits |
| Innovation Management | 3 |
| European Environment and Policies in life sciences and public health | 3 |
| Responsible Research and Innovation | 3 |
| Languages | 3 |
| Semestre 4 | |
| BCC 1 – Biosciences | 5 crédits |
| Methodology of epidemiologic studies | 3 |
| Advances in Biosciences – Seminars II | 2 |
| BCC 2 – Data Sciences | 13 crédits |
| Applied Biotechnologies II | 3 |
| System and data management in biosciences | 4 |
| Data Mining in biosciences | 3 |
| Data Model – Big data | 3 |
| BCC 3 – Communication and Management | 5 crédits |
| Communication Techniques | 2 |
| Languages | 3 |
| BCC 6 – Professionnalization | 7 crédits |
| 3 Pathways | |
| Research internship | 7 |
| Industry internship | 7 |
| Apprenticeship | 7 |
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.
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.
| 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 |
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✅ 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
✅ Birth certificate extract
✅ Official certified translation of the most recent diplomas obtained
✅ Copy of the residence permit
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
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
