Master AIRE: Digital Sciences 24 months Postgraduate Program By Université Paris Cité |Top Universities
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Master AIRE: Digital Sciences Master AIRE: Digital Sciences

Location

Université Paris Cité, Paris, France
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Subject Ranking

# =147QS Subject Rankings

Program Duration

24 monthsProgram duration

Main Subject Area

Biological SciencesMain Subject Area

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Program overview

Main Subject

Biological Sciences

Degree

Other

Study Level

Masters

Study Mode

On Campus

The Master AIRE in Digital Sciences grows up on the rich field of our international network of scientists, the guests of the CRI. They bring life sciences closer to the sciences of learning it. They move the frontiers of knowledge. The scientific materials are the data coming from living systems, social systems, and machines. Students following this program will learn computer knowledge, under the light of the sociology of digital worlds.


Skills and competencies developed:

  • Analyse, represent and share complex systems data related to living being, human society or machines
  • Analyse cognition and learning mechanism into their social context, as part of service or program design
  • Translate concepts into prototypes to encourage experimentations in the field of innovation (virtual and augmented reality, robotics, Artificial Intelligence, machine learning)
  • Develop experimental and theoretical approaches to serve the need for innovation in organization on an international scale
  • Master concepts and ties of open science
  • Implement open source and open access tools and practices
  • Mobilize interdisciplinary experimental research techniques and methods

Program overview

Main Subject

Biological Sciences

Degree

Other

Study Level

Masters

Study Mode

On Campus

The Master AIRE in Digital Sciences grows up on the rich field of our international network of scientists, the guests of the CRI. They bring life sciences closer to the sciences of learning it. They move the frontiers of knowledge. The scientific materials are the data coming from living systems, social systems, and machines. Students following this program will learn computer knowledge, under the light of the sociology of digital worlds.


Skills and competencies developed:

  • Analyse, represent and share complex systems data related to living being, human society or machines
  • Analyse cognition and learning mechanism into their social context, as part of service or program design
  • Translate concepts into prototypes to encourage experimentations in the field of innovation (virtual and augmented reality, robotics, Artificial Intelligence, machine learning)
  • Develop experimental and theoretical approaches to serve the need for innovation in organization on an international scale
  • Master concepts and ties of open science
  • Implement open source and open access tools and practices
  • Mobilize interdisciplinary experimental research techniques and methods

Admission Requirements

2 Years
Sep

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