Artificial Intelligence and Data Analysis (AIDA) – opening in Sept. 2025

This Master’s program in "Artificial Intelligence and Data Analysis" (AIDA) will be offered by the BMC department starting in September 2025.

A unique program at the interface between life sciences and artificial intelligence

The "Artificial Intelligence and Data Analysis" (AIDA) track of the Master’s in Molecular and Cellular Biology aims to train the next generation of scientists for careers in modern biology.

This program is intended for students with a background in life sciences who wish to develop interdisciplinary skills in artificial intelligence and data analysis applied to molecular and cellular biology. Through this program, students will gain proficiency in biological concepts and modern analytical tools, preparing them to become key players in the processing, analysis, and interpretation of complex biological data.

The program is accessible through the first year of the BMC Master’s program or directly in the second year, depending on the evaluation of the application files.

Curriculum

The AIDA Master’s program includes the following courses:

First semester:

  • Artificial Intelligence and Deep Learning (6 ECTS): This course trains students in the use of deep learning approaches and neural networks for analyzing complex biological data through projects. Particular emphasis is placed on the Keras library (available in Python and R) for building these networks. The course includes lectures, videos, and group projects on topics related to molecular and cellular biology.

  • Statistics for Genomic Data Classification and Mining (6 ECTS): This course trains students in supervised and unsupervised artificial intelligence techniques for the classification of genomic data in biology. The course includes lectures (CM) and practical sessions (TP) that allow students to explore aspects related to the exploitation of genomic data.

  • Single-Cell Transcriptomics Data Analysis (6 ECTS): This course trains students in the analysis of scRNA-seq data, focusing on the processing, analysis, and interpretation of these data. This course is structured around group-based, supervised projects.

  • Disciplinary courses in BMC (12 ECTS): Students in the AIDA track can choose courses from the BMC department for a total of 12 ECTS. Different options are available, including immunology, genomics, and molecular biology.
     

Second semester:

  • Internship (30 ECTS): The program concludes with a 6-month internship with a strong emphasis on data analysis for biology. This internship provides the opportunity to explore a wide range of applications, from structural biology to the interpretation of large-scale data. Students are supported in their search for internships starting at the beginning of the year.
     

Career Opportunities

The AIDA Master’s program opens a wide range of career opportunities in modern biology. Thanks to the integration of data analysis and artificial intelligence skills, graduates are highly sought after in academic, pharmaceutical, biotech, and biomedical sectors.

  • Careers in Modern Biology: Modern biology is evolving rapidly with the emergence of new tools and technologies, especially in genomic sequencing, computational biology, and synthetic biology. Graduates can work as researchers, bioinformaticians, biological engineers, or experts in regulatory affairs and biotechnology development.

  • Data Scientists in Biology: With the increasing availability of biological data (genomics, transcriptomics, proteomics, imaging, etc.), data scientists play a crucial role in analyzing and interpreting these data. They use algorithms and predictive models to advance scientific knowledge, from fundamental research to personalized medical treatments.

  • Leaders in Digital Transformation in Biology: These professionals ensure the integration of digital technologies in biotech companies and research laboratories. They manage the implementation of infrastructures for processing large amounts of biological data and train teams in the use of modern tools.

  • Pursuing a PhD: Graduates of the BMC-AIDA Master’s program who wish to further deepen their scientific expertise may pursue a PhD. This program paves the way for careers in academic or industrial research, with topics ranging from fundamental biological mechanisms to the application of systems biology and artificial intelligence.
     

Applications

Applications for the first year of the BMC Master’s program at Sorbonne University, leading to the AIDA track, are submitted via the Mon Master platform. It is also possible to apply directly for the second year, subject to evaluation via the e-candidat platform or through Études en France for international students.

Admission to this program is possible via the M1-Tronc Commun BMC or the M1 BIP.

Contacts

Academic Advisor - Dr. Nicolas Tchitchek

Published on 11/10/2024 - Updated on 20/10/2024