Master Year 2 BioMedical Engineering (BME)
| Year | Master Year 2 |
| Program | BioMedical Engineering (BME) |
| ECTS Credits | 60 |
| Language | English |
| Orientation | Research or Industrial R&D |
| Location | Palaiseau Campus |
| Course duration | 12 months, full time |
| Course start | September |
| Degree awarded | Master’s degree |
Note: applications for the Clinicians track is open until October
WHY ENROLL IN THIS PROGRAM?
Asset n° 1
Benefit from a research-focused academic program with close links to the Institut Polytechnique de Paris cutting-edge research laboratories
Asset n°2
Prepare for a stimulating career in research or industrial R&D in the exciting field of biomechanics and biomedical engineering
Asset n°3
Prepare for highly interdisciplinary PhD studies in biomedical engineering at the intersection of mechanics, physics, applied mathematics and life/health sciences
The BioMedical Engineering (BME) Year 2 Master program provides students with state-of-the-art training in the exciting field of biomedical engineering: application of mathematical/physical sciences, engineering concepts, technologies for the life sciences and for understanding, diagnosing, and treating disease.
Applicants are expected to have strong backgrounds in engineering, physics, or applied mathematics and a desire to contribute to the upcoming revolutionary changes in the life sciences and medicine. No background in biology is necessary.
The BME M2 provides students with a highly interdisciplinary curriculum focused on five specific tracks:
- Biophysics and Biomechanics
- Imaging and Image-Based Modeling
- Sensors and Devices
- Biomaterials
- Biomedical Data Science and Applications
Graduates of our program will be future leading engineers, researchers and entrepreneurs who will develop innovative solutions to tomorrow’s life science and biomedical engineering challenges.
Objectives
This Master’s program enables students to:
- Benefit from a high level of specialization in the rapidly growing field of biomedical engineering
- Conduct research in a stimulating learning environment
- Communicate with participants from different domains of life science (researchers, engineers, clinicians)
The BME Master has received funding from the French National Research Agency (ANR) through the following grant mechanisms of the France 2030 plan:
|  |
Over the past decade, biomedical engineering has consistently been listed among the top fields for career prospects. For instance, the U.S. Bureau of Labor Statistics recently rated bioengineering as the fastest growing subfield of engineering, with expected growth in employment opportunities significantly higher than the average growth in engineering overall. In recent years, employment opportunities in the startup and innovation sector have increased dramatically, especially in the burgeoning connected and personalized health field.
In this context, IP Paris’ BME program provides state-of-the-art research-based training that fosters innovation in the life sciences and medical technologies. The BME Master prepares graduates for doctoral studies or for R&D positions in industry (medical device, digital health, and biotechnology sectors as well as ample opportunities for startup ventures).
The Master program has the following five tracks: Biophysics and Biomechanics, Imaging and Image-Based Modeling, Sensors and Devices, Biomaterials, and Biomedical Data Science and Applications. The coursework portion of the program consists of two academic quarters with a total of ten courses (30 ECTS in total). Students are expected to choose one of the above tracks as their “Major” and another as their “Minor”. The course requirement is as follows:
- 6 courses in the chosen "Major" track (18 ECTS)
- 3 courses in the chosen "Minor" track (9 ECTS)
- 1 free elective course (3 ECTS)
The coursework is followed by a 5-6-month research internship (30 ECTS). While most internships are conducted in academic laboratories, they can also be pursued in industry.
Quarter 1
| Solid mechanics applied to biology | 32 h 3 ECTS English |
| Biofluid mechanics and mass transport | 32 h 3 ECTS English |
| Microfluidics and biosystems | 32 h 3 ECTS English |
| Machine and deep learning | 32 h 3 ECTS English |
| Optical imaging for biomedical diagnostic | 32 h 3 ECTS English |
| Microfluidics and biosystems | 32 h 3 ECTS English |
| Pervasive/wearable devices and communication systems for healthcare and well-being | 32 h 3 ECTS English |
| Machine and deep learning | 32 h 3 ECTS English |
| Microfluidics and biosystems | 32 h 3 ECTS English |
| Materials modeling. From atomistic to macroscopic | 32 h 3 ECTS English |
| Metamaterials | 32 h 3 ECTS English |
| Mechanics of brittle fracture and damage | 32 h 3 ECTS English |
| Biomedical Data Sources and Collection | 32 h 3 ECTS English |
| Information Extraction and Statistical Methods for Biomedical Research | 32 h 3 ECTS English |
| Fundamentals and Applications of Machine Learning | 32 h 3 ECTS English |
Quarter 2
| Cellular and subcellular mechanics | 32 h 3 ECTS English |
| Mechanics of motility of living organisms | 32 h 3 ECTS English |
| Biomechanics in health and disease | 32 h 3 ECTS English |
| Biophotonics | 32 h 3 ECTS English |
| Advanced microscopy physics and techniques | 32 h 3 ECTS English |
| Data sciences of biological imaging | 32 h 3 ECTS English |
| Representation learning for computal vision and medical imaging | 32 h 3 ECTS English |
| Soft robots: simulation, fabrication and control | 32 h 3 ECTS English |
| Surface bioengineering and biodetection | 32 h 3 ECTS English |
| Data sciences of biological imaging | 32 h 3 ECTS English |
| Material modeling from atomistic to macroscopic methods | 32 h 3 ECTS English |
| Surface bioengineering and biodetection | 32 h 3 ECTS English |
| Advanced material design | 32 h 3 ECTS English |
| Deep Learning Approaches and Applications | 32 h 3 ECTS English |
| Research Project | 120 h 4 ECTS English |
| Study Design for AI, Ethics and Innovation | 32 h 3 ECTS English |
| Data Security and Management in Healthcare | 21 h 2 ECTS English |
Mandatory research internships
5-6 months - 30 ECTS
Admission requirements
Academic prerequisites
- Completion of the first year of Master's program (M1) in engineering, physics or applied mathematics at Institut Polytechnique de Paris or equivalent in France or abroad
- No prior training in biology is required
Language prerequisites
English language proficiency (minimum B2 level or equivalent).
How to apply
Applications can only be submitted online. The following documents are required:
- Academic transcripts
- A minimum of two academic recommendation letters (submitted online directly by individuals providing the letters)
- CV/resume
- Statement of purpose
- English language proficiency (minimum level of B2 or equivalent)
Candidates will be notified of admission decisions within 2 months of the closing date for the application session.
Fees and scholarships
Registration fees are available here
Find out more about scholarships
Please note that fees and scholarships may change for the following year.
Applications and admission dates
Coordinator
Abdul Barakat: M2 BioMedical Engineering (BME)
Nesma Houmani: M2 Track 5: Biomedical Data Science and Applications
Program office
General enquiries
The BioMedical Engineering (BME) Year 2 Master program provides students with state-of-the-art training in the exciting field of biomedical engineering: application of mathematical/physical sciences, engineering concepts, technologies for the life sciences and for understanding, diagnosing, and treating disease.
Applicants are expected to have strong backgrounds in engineering, physics, or applied mathematics and a desire to contribute to the upcoming revolutionary changes in the life sciences and medicine. No background in biology is necessary.
The BME M2 provides students with a highly interdisciplinary curriculum focused on five specific tracks:
- Biophysics and Biomechanics
- Imaging and Image-Based Modeling
- Sensors and Devices
- Biomaterials
- Biomedical Data Science and Applications
Graduates of our program will be future leading engineers, researchers and entrepreneurs who will develop innovative solutions to tomorrow’s life science and biomedical engineering challenges.
Objectives
This Master’s program enables students to:
- Benefit from a high level of specialization in the rapidly growing field of biomedical engineering
- Conduct research in a stimulating learning environment
- Communicate with participants from different domains of life science (researchers, engineers, clinicians)
The BME Master has received funding from the French National Research Agency (ANR) through the following grant mechanisms of the France 2030 plan:
| |
Over the past decade, biomedical engineering has consistently been listed among the top fields for career prospects. For instance, the U.S. Bureau of Labor Statistics recently rated bioengineering as the fastest growing subfield of engineering, with expected growth in employment opportunities significantly higher than the average growth in engineering overall. In recent years, employment opportunities in the startup and innovation sector have increased dramatically, especially in the burgeoning connected and personalized health field.
In this context, IP Paris’ BME program provides state-of-the-art research-based training that fosters innovation in the life sciences and medical technologies. The BME Master prepares graduates for doctoral studies or for R&D positions in industry (medical device, digital health, and biotechnology sectors as well as ample opportunities for startup ventures).
The Master program has the following five tracks: Biophysics and Biomechanics, Imaging and Image-Based Modeling, Sensors and Devices, Biomaterials, and Biomedical Data Science and Applications. The coursework portion of the program consists of two academic quarters with a total of ten courses (30 ECTS in total). Students are expected to choose one of the above tracks as their “Major” and another as their “Minor”. The course requirement is as follows:
- 6 courses in the chosen "Major" track (18 ECTS)
- 3 courses in the chosen "Minor" track (9 ECTS)
- 1 free elective course (3 ECTS)
The coursework is followed by a 5-6-month research internship (30 ECTS). While most internships are conducted in academic laboratories, they can also be pursued in industry.
Quarter 1
| Solid mechanics applied to biology | 32 h 3 ECTS English |
| Biofluid mechanics and mass transport | 32 h 3 ECTS English |
| Microfluidics and biosystems | 32 h 3 ECTS English |
| Machine and deep learning | 32 h 3 ECTS English |
| Optical imaging for biomedical diagnostic | 32 h 3 ECTS English |
| Microfluidics and biosystems | 32 h 3 ECTS English |
| Pervasive/wearable devices and communication systems for healthcare and well-being | 32 h 3 ECTS English |
| Machine and deep learning | 32 h 3 ECTS English |
| Microfluidics and biosystems | 32 h 3 ECTS English |
| Materials modeling. From atomistic to macroscopic | 32 h 3 ECTS English |
| Metamaterials | 32 h 3 ECTS English |
| Mechanics of brittle fracture and damage | 32 h 3 ECTS English |
| Biomedical Data Sources and Collection | 32 h 3 ECTS English |
| Information Extraction and Statistical Methods for Biomedical Research | 32 h 3 ECTS English |
| Fundamentals and Applications of Machine Learning | 32 h 3 ECTS English |
Quarter 2
| Cellular and subcellular mechanics | 32 h 3 ECTS English |
| Mechanics of motility of living organisms | 32 h 3 ECTS English |
| Biomechanics in health and disease | 32 h 3 ECTS English |
| Biophotonics | 32 h 3 ECTS English |
| Advanced microscopy physics and techniques | 32 h 3 ECTS English |
| Data sciences of biological imaging | 32 h 3 ECTS English |
| Representation learning for computal vision and medical imaging | 32 h 3 ECTS English |
| Soft robots: simulation, fabrication and control | 32 h 3 ECTS English |
| Surface bioengineering and biodetection | 32 h 3 ECTS English |
| Data sciences of biological imaging | 32 h 3 ECTS English |
| Material modeling from atomistic to macroscopic methods | 32 h 3 ECTS English |
| Surface bioengineering and biodetection | 32 h 3 ECTS English |
| Advanced material design | 32 h 3 ECTS English |
| Deep Learning Approaches and Applications | 32 h 3 ECTS English |
| Research Project | 120 h 4 ECTS English |
| Study Design for AI, Ethics and Innovation | 32 h 3 ECTS English |
| Data Security and Management in Healthcare | 21 h 2 ECTS English |
Mandatory research internships
5-6 months - 30 ECTS
Admission requirements
Academic prerequisites
- Completion of the first year of Master's program (M1) in engineering, physics or applied mathematics at Institut Polytechnique de Paris or equivalent in France or abroad
- No prior training in biology is required
Language prerequisites
English language proficiency (minimum B2 level or equivalent).
How to apply
Applications can only be submitted online. The following documents are required:
- Academic transcripts
- A minimum of two academic recommendation letters (submitted online directly by individuals providing the letters)
- CV/resume
- Statement of purpose
- English language proficiency (minimum level of B2 or equivalent)
Candidates will be notified of admission decisions within 2 months of the closing date for the application session.
Fees and scholarships
Registration fees are available here
Find out more about scholarships
Please note that fees and scholarships may change for the following year.
Applications and admission dates
Coordinator
Abdul Barakat: M2 BioMedical Engineering (BME)
Nesma Houmani: M2 Track 5: Biomedical Data Science and Applications