interdisciplinary approaches

to research and education

AIRE Master

About the program

The AIRE Master is a 2 year Master Program of the University of Paris and hosted at the Center for Research and Interdisciplinarity. The AIRE Master has a strong focus on interdisciplinary and research-based projects, targeting future researchers and entrepreneurs in life, learning and digital sciences. Its curriculum offers cutting-edge courses, a learning-by-doing training based on several internships in labs, startups or a companies. Every year, we host nearly 100 students to study life, learning and digital sciences in order to tackle our world greatest challenges.

The program is built on open-science approaches, interdisciplinarity, collaborative projects and a challenge-based pedagogy, supported by reknown researchers, teachers and mentors. Students benefit from the stimulating environment of the Center for Research and Interdisciplinarity (CRI) where creators, entrepreneurs and researchers converge in a think and do mindset to help the students achieve their goals. Students can engage in collaborative projects in the student clubs and labs of the CRI.

All tracks offer a high level training in critical thinking, design, communication and soft skills to help students builds their own research and career trajectories. The Master is designed to adjust around the student’s needs for building his or her desired portfolio.

Our campus

The AIRE Master is hosted at CRI, whose campus is located in the heart of the Marais district in Paris. Students studying at CRI profit from a vibrating ecosystem rich in seminars, research groups, global initiatives about research and education, club activities, and 150 square meters of students lab space.

The CRI, a crossroads of inspiring people and projects, hosts interdisciplinary research groups whose focus lies on the broad theme of Open Science. The Institute hosts several Citizen Science initiatives and weekly seminars and events, with the scope of promoting quality research and a sustainable development in science, education and the digital revolution. Find more about CRI on our website.

Life sciences

The Life Sciences track (the former AIV Master) is based on the idea that the future of Life Sciences lies in its interactions with other sciences – Mathematics, Physics, Chemistry, Engineering and so on. Interdisciplinary research cannot be constrained to thematic textbooks. It’s a research that takes the tools of Physics and the concepts of Maths to describe how a cell moves, or that uses Engineering to unravel the design of a genome. It’s crossing the boundaries of single subjects, so well framed and fenced in during the last century, to go beyond the limits that the old approaches pose.

Our program is heavily based in internships as we support the philosophy of “learning by doing”- in our case, “learning by doing research”. The program offers core interdisciplinary courses during the first year, such as Systems, Synthetic and Computational Biology. During the second year, students choose two or three internships for a total of 9 months of lab immersion, while following weekly courses about critical analysis of scientific literature, literature review and project writing.

Find out more about our courses: Systems Biology Synthetic Biology Computational Biology Physics of the Cell Statistics Neuroscience Science and Medicine Scientific Communication

Learning sciences

The Learning Science track (EdTech in its french acronym) is dedicated to learning science and digital practices in education. It aims at training creative and talented students to become the future change makers of education. We believe that in parallel with the digital and environmental transitions, there is a “learning transition” which transform our ways to learn, teach, conduct research but also the way we work, manage and collaborate.

In the first year, you access a panorama of courses and visions that define the learning science of the 21st century. The second year is designed to emphasize scientific reasoning, critical analysis and project development. During these 2 years, you will spend several months in internships, which will give you the opportunity to taste different professional environments and to enrich your learning experience and expertise.

Find out more about our courses: Game Design for Learning Cognition & Learning Instructional Design Open Science & Citizen Science Stastistics for social sciences Philosophy as a pathway to social sciences

Digital sciences

The Digital track aims at studying the frontiers of computer science and how it revolutions sciences and societies. Built on the experience of the two other tracks, it will open in September 2019 with a highly interdisciplinary program, gathering students from all over the world and with various backgrounds and expertises. The courses will focus on machine learning, artificial intelligence and augmented reality as breakthroughs for science and society. Students will have the opportunity to follow courses from the two other tracks to explore how digital sciences can impact life and learning sciences. Join the digital revolution!

Our students
Come from a large variety of backgrounds ...
... and from all over the world
We promote diversity and gender equality.

We promote diversity and gender equality. We’re proud to count a large alumni network with more than 500 students and 20 nationalities. We count many successfull researchers and entrepreneurs as our alumni.

Our traineeship locations

We are looking for bright, curious, autonomous students from all training backgrounds with a research and scientific focus. You can apply to the first year if you have a bachelor degree or equivalent, and to the second year if you have at least a first year master degree or equivalent. Do not hesitate to contact us to check your eligibility.

  • Online applications: February 1st – May 4th 2019 (NOW CLOSED)

  • Interviews (in Paris or online): May 20th-24th

  • Admission results : Early June


For students interested in synthetic biology and quantitative life sciences


For students interested in data driven education and learning sciences


For students interested in machine learning and artificial intelligence