Master Program in bio-informatics

In a partnership with the Cnam, the Master Program in “Bio-Informatics” sits at the crossroads of Information Technology, statistics (Big Data), biology, and medicine. To Apply for this you must first complete a degree in Integrated Biology and IT.

Program Description

The field of Bio-Informatics has rapidly developed over the course of the last several years, due to the need to process data from new biotechnologies (multiomics data). Given the diversity of these new technologies and the mass of data to be processed, Bio-Informatics has become a field in its own right, at the crossroads of Information Technology, statistics (Big Data), biology, and medicine. At the industrial level, the field will continue to grow in order to respond to advances in the health sector (personalized medicine at the diagnostic and therapeutic level). With these changes, the Bio-Informatics field will need new experts who understand the data, tools, and current challenges of the field, and who are capable of developing new software adapted to the technological advances in biomedicine and computer science.

Large companies such as Google, Illumina, IQVIA, and IBM Watson have already positioned themselves in this field, as they understand that it is a major issue today.

Courses in this Master Program are conducted in both English and French.

Program

GENERAL STUDIES
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Bio-informatics Algorithms
Biostatistics
Proteomics and metabolomics
Structural bioinformatics and drug design
Mathematical and computer tools for genomics

M2 END OF STUDY PROJECT
Plus de détails

Technological monitoring
Management and technical skills
Fundraising
Pilot an R&D Project to define the phases and recrutement for your teams 

GENERAL STUDIES
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Connected objects for health
NGS Next Generation Sequencing
Java programming
Immunology
Ethics and legislation
Quantum biology

PROFESSIONAL TRAINING
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4.5-month technical internship starting mid-April (M1)
6-month Engineer internship (end of studies) starting mid-February (M2)

M1 INNOVATION PROJECTS
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Methodology and technical monitoring
Business Plan
Coaching: support for teams
Innovation Day: Competition with a jury of professionals

GENERAL STUDIES
Plus de détails

Bio-informatics Algorithms
Biostatistics
Proteomics and metabolomics
Structural bioinformatics and drug design
Mathematical and computer tools for genomics

GENERAL STUDIES
Plus de détails

Connected objects for health
NGS Next Generation Sequencing
Java programming
Immunology
Ethics and legislation
Quantum biology

M1 INNOVATION PROJECTS
Plus de détails

Methodology and technical monitoring
Business Plan
Coaching: support for teams
Innovation Day: Competition with a jury of professionals

M2 END OF STUDY PROJECT
Plus de détails

Technological monitoring
Management and technical skills
Fundraising
Pilot an R&D Project to define the phases and recrutement for your teams 

PROFESSIONAL TRAINING
Plus de détails

4.5-month technical internship starting mid-April (M1)
6-month Engineer internship (end of studies) starting mid-February (M2)

Learning objectives

By the end of this program, Bio-informatics Engineer will know how to:

  • Apply machine learning methods to medical data
  • Implement NGS data processing, storage and analysis solutions
  • Create data visualizations to communicate the results of data analysis
  • Understand the different steps of Bio-Informatics projects and the added value of such projects

Career paths

  • Bioinformatician
  • Biostatistician
  • Data Scientist/Computational Biologist
  • Bioinformatics Project Manager
  • R&D Engineer