BioImaging (BIM)

BioImaging is an exciting and growing field overlapping the interfaces of engineering, mathematics and computer science, as well as chemistry, physics, life science, and medecine. The main goal of bioimaging is to improve human health by using imaging modalities to advance diagnosis, treatment, and prevention of human diseases.

The BIM track offers high-level interdisciplinary education and training supported by the complementary skills of ParisDescartes and ParisTech. A large network of research laboratories provides students access to industrial and experimental imaging systems that utilize innovative technologies.


The BIM track is accessible to engineering and life-science students (medicine, pharmacology, biology, chemistry, biochemistry, physics) preparing for career paths in academic research or industrial R&D environments. It relies on close collaboration between Paris-Descartes, Arts et Métiers ParisTech and the PSL engineering schools (Mines ParisTech, ESPCI Paris, Chimie ParisTech), in partnership with Telecom ParisTech. The BIM curriculum itself consists of fifteen courses (UE) at the M2 level that are organized, taught, and overseen by faculty members expert in the appropriate fields.

Course Selection

During the M2 year, students select two 6-ECTS courses (UE), two 3-ECTS UE, and one 6-ECTS or two 3-ECTS additional UE(s) (possibly in another track). The set of each student’s elective courses is determined according to his/her professional objectives and approved by their track advisor.



The 5-month internship can be performed in any academic or industrial laboratory, pending approval from the track advisor. A list of research labs involved in BIM teaching is available here.

Semester 3

Semester 4

Mandatory courses

Open Your Mind Seminars
Interdisciplinary week (3 ECTS)
Medical Image Analysis


1 mandatory course to be picked among

Physics for BioImaging
Chemistry for Bioimaging : Basics, probes and nanomedicine
Optical Imaging


15 ECTS to be picked among

Molecular Imaging
Functional and Metabolic Imaging
Quantification for Diagnosis
Quantification for Neuroimaging
Quantification for Bioimaging
Machine Learning
Physics for BioImaging
Chemistry for Bioimaging : Basics, probes and nanomedicine
Optical Imaging
Advanced Optical Imaging (3 ECTS)
Anatomy of the Musculo-skeletal System
Research Methodology (3ECTS)
Basics in Tissue and Cell Biology
Practical training in bioengineering (3 ECTS)
Biosensors for medical diagnosis (3 ECTS)


Some teaching units may be chosen in other tracks (subject to track chairs’ authorizations), in particular the BIN track courses:

A window into the mind : new technologies to explore and stimulate the brain
Brain-Computer Interfaces: from modeling to engineering
Ethical and Industrial Aspects (3 ECTS)
Research Internship (27 ECTS)