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NeuroTechnologies

NeuroTechnologies

In the second year, students focus on one of five specialization tracks, combining advanced 
coursework research.

Degree

Master 2 in Biomedical Engineering

Campus

Paris – Université Paris 
Cité & Arts et Métiers

Campus

Full-time — Year 2 (Semesters 3 & 4)

Degree

Master 2 in Biomedical Engineering

Campus

Paris – Université Paris 
Cité & Arts et Métiers

Schedule

Full-time — Year 2 (Semesters 3 & 4)

  • Program Overview

The M1 program is designed to strengthen and broaden students’ skills in engineering, digital sciences, and Biomedical disciplines, addressing contemporary health challenges.

This one-year curriculum provides essential fundamental and practical knowledge, equipping students with an interdisciplinary background before they choose a 
specialized track in the second year (M2).

Program Structure

Focused on advanced biotherapies

The track on Biotherapies and Advanced Therapy Medicinal Products (ATMPs) offers an exciting opportunity to dive deep into some of the most revolutionary fields in modern medicine. The program is designed to provide students with a comprehensive knowledge of the rapidly evolving areas of cell- and gene-based therapies, tissue engineering and regenerative medicine.

From fundamental science to 
clinical application

Through a combination of lectures, hands-on laboratory sessions, and case studies, students develop a solid understanding of the biological and engineering principles behind biotherapy development. Core topics include molecular and cellular biology, stem cells, immunology, and bioengineering techniques.

Preparing for research and 
industry careers

The program also addresses regulatory frameworks and clinical applications required for the safe development and implementation of advanced therapies. Graduates are prepared for research and professional opportunities in academia and in biopharmaceutical and biotechnology companies operating in 
fast-growing therapeutic fields.

Schedule & Format

To accommodate the diverse academic backgrounds of M1 students, courses are offered at both basic and advanced levels, allowing each student to address any skill gaps while advancing their knowledge in various scientific disciplines. Students follow a personalized curriculum comprising a minimum of seven courses (3 ECTS each) from the 17 options available.
Elective courses
Continuum Mechanics for Biological Tissues (Advanced) (3 ECTS)
  • M1
Continuum Mechanics for Biological Tissues (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
NeuroTechnologies
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
  • M1
Continuum Mechanics for Biological Tissues (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
NeuroTechnologies
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Anatomy & Physiology for Engineers (Basic) (3 ECTS)
  • M1
Anatomy & Physiology for Engineers (Basic) (3 ECTS)

This course aims to equip master’s students in biomedical 
engineering with essential skills for conducting rigorous scientific research and generating both applied and fundamental knowledge.

Resume

Total number of hours
1
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Université Paris Cité
  • M1
Anatomy & Physiology for Engineers (Basic) (3 ECTS)

This course aims to equip master’s students in biomedical 
engineering with essential skills for conducting rigorous scientific research and generating both applied and fundamental knowledge.

Resume

Total number of hours
1
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Université Paris Cité
Molecular & Cellular Biology for Engineers (Basic) (3 ECTS)
  • M1
Molecular & Cellular Biology for Engineers (Basic) (3 ECTS)

This course aims to equip master’s students in biomedical 
engineering with essential skills for conducting rigorous scientific research and generating both applied and fundamental knowledge. Research methodology encompasses a broad array of professional practices applicable across settings, from academic institutions to corporate research environments.

Resume

Total number of hours
24
Number of ECTS
3
Semester
3
Mandatory course
Yes
Teaching methods
Lectures (CM) / Practical sessions (TD) 
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Claudio
Vergari
BioMechanics Track
Université Paris Cité
  • M1
Molecular & Cellular Biology for Engineers (Basic) (3 ECTS)

This course aims to equip master’s students in biomedical 
engineering with essential skills for conducting rigorous scientific research and generating both applied and fundamental knowledge. Research methodology encompasses a broad array of professional practices applicable across settings, from academic institutions to corporate research environments.

Resume

Total number of hours
24
Number of ECTS
3
Semester
3
Mandatory course
Yes
Teaching methods
Lectures (CM) / Practical sessions (TD) 
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Claudio
Vergari
BioMechanics Track
Université Paris Cité
From Molecular to Cellular and Tissue Biology (Advanced) (3 ECTS)
  • M1
From Molecular to Cellular and Tissue Biology (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
BioMechanics Track
Université Paris Cité
  • M1
From Molecular to Cellular and Tissue Biology (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
BioMechanics Track
Université Paris Cité
A Mathematical Introduction to Data Analysis (Basic) (3 ECTS)
  • M1
A Mathematical Introduction to Data Analysis (Basic) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
NeuroTechnologies
Université Paris Cité
Claudio
Vergari
BioMechanics Track
Université Paris Cité
  • M1
A Mathematical Introduction to Data Analysis (Basic) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
NeuroTechnologies
Université Paris Cité
Claudio
Vergari
BioMechanics Track
Université Paris Cité
Applied Mathematics for Biological Systems (Advanced) (3 ECTS)
  • M1
Applied Mathematics for Biological Systems (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
BioMechanics Track
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Université Paris Cité
  • M1
Applied Mathematics for Biological Systems (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
BioMechanics Track
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Université Paris Cité

Semester 4 (30 ECTS)

Continuum Mechanics for Biological Tissues (Advanced) (3 ECTS)
  • M1
Continuum Mechanics for Biological Tissues (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
NeuroTechnologies
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
  • M1
Continuum Mechanics for Biological Tissues (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
NeuroTechnologies
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Anatomy & Physiology for Engineers (Basic) (3 ECTS)
  • M1
Anatomy & Physiology for Engineers (Basic) (3 ECTS)

This course aims to equip master’s students in biomedical 
engineering with essential skills for conducting rigorous scientific research and generating both applied and fundamental knowledge.

Resume

Total number of hours
1
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Université Paris Cité
  • M1
Anatomy & Physiology for Engineers (Basic) (3 ECTS)

This course aims to equip master’s students in biomedical 
engineering with essential skills for conducting rigorous scientific research and generating both applied and fundamental knowledge.

Resume

Total number of hours
1
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Université Paris Cité
Molecular & Cellular Biology for Engineers (Basic) (3 ECTS)
  • M1
Molecular & Cellular Biology for Engineers (Basic) (3 ECTS)

This course aims to equip master’s students in biomedical 
engineering with essential skills for conducting rigorous scientific research and generating both applied and fundamental knowledge. Research methodology encompasses a broad array of professional practices applicable across settings, from academic institutions to corporate research environments.

Resume

Total number of hours
24
Number of ECTS
3
Semester
3
Mandatory course
Yes
Teaching methods
Lectures (CM) / Practical sessions (TD) 
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Claudio
Vergari
BioMechanics Track
Université Paris Cité
  • M1
Molecular & Cellular Biology for Engineers (Basic) (3 ECTS)

This course aims to equip master’s students in biomedical 
engineering with essential skills for conducting rigorous scientific research and generating both applied and fundamental knowledge. Research methodology encompasses a broad array of professional practices applicable across settings, from academic institutions to corporate research environments.

Resume

Total number of hours
24
Number of ECTS
3
Semester
3
Mandatory course
Yes
Teaching methods
Lectures (CM) / Practical sessions (TD) 
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Claudio
Vergari
BioMechanics Track
Université Paris Cité
From Molecular to Cellular and Tissue Biology (Advanced) (3 ECTS)
  • M1
From Molecular to Cellular and Tissue Biology (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
BioMechanics Track
Université Paris Cité
  • M1
From Molecular to Cellular and Tissue Biology (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
BioMechanics Track
Université Paris Cité
A Mathematical Introduction to Data Analysis (Basic) (3 ECTS)
  • M1
A Mathematical Introduction to Data Analysis (Basic) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
NeuroTechnologies
Université Paris Cité
Claudio
Vergari
BioMechanics Track
Université Paris Cité
  • M1
A Mathematical Introduction to Data Analysis (Basic) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
NeuroTechnologies
Université Paris Cité
Claudio
Vergari
BioMechanics Track
Université Paris Cité
Applied Mathematics for Biological Systems (Advanced) (3 ECTS)
  • M1
Applied Mathematics for Biological Systems (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
BioMechanics Track
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Université Paris Cité
  • M1
Applied Mathematics for Biological Systems (Advanced) (3 ECTS)

Resume

Total number of hours
Number of ECTS
Semester
Mandatory course
Yes
Teaching methods
Location
ENSAM
  • What are the prerequisites?

An innate curiosity and thirst for science. A solid background in statistics and mathematics is required to join the advanced 
group on machine learning.

Course Supervisor
Claudio
Vergari
BioMechanics Track
Université Paris Cité
Claudio
Vergari
Administrative and Education Manager
Université Paris Cité
Claudio
Vergari
Université Paris Cité
  • FACULTY

Academic Team

Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
Claudio
Vergari
Chair of the master’s program
Université Paris Cité
Classical Mechanics
Electromagnetism
Physics for bioimaging
Advanced spectroscopy
  • Testimonials

Testimonials

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial

With a well-balanced curriculum, strong focus on personalized counseling and world-class researchers supporting and teaching us, the BME Paris Master's program...

Nina Yeguenian
Master's Degree in NeuroTech - 2017
Read the full testimonial
  • Master 2

Our Others Advanced Specializations

BioImaging

In the second year, students focus on one of five specialization tracks, combining advanced 
coursework research.
Learn more

BioImaging

BioMechanics

In the second year, students focus on one of five specialization tracks, combining advanced 
coursework research.
Learn more

BioMechanics

Molecular & Cellular
Biotherapies

In the second year, students focus on one of five specialization tracks, combining advanced 
coursework research.
Learn more

Molecular & Cellular
Biotherapies

Innovation In Digital Health

In the second year, students focus on one of five specialization tracks, combining advanced 
coursework research.
Learn more

Innovation In Digital Health

Faculty & Staff

Learn More

Testimonials

Learn More

Application

Learn More

About BME

Learn More

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BME Paris - BioMedical Engineering