What you will learn

An international programme, rooted in Research

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. You will learn computer knowledge, under the light of the sociology of digital worlds.

Computer Sciences, Applications, and Engineering
  • Programming, transdisciplinary methods, creation of APIs
  • AI: classification algorithms, regression, clustering, neural network, prediction
  • Data: collection, preparation, storage, processing, exploitation of heterogeneous data (images and texts, Open Data, Data visualization, etc.)
  • Robotic: modular and interactive robotics, developmental robotics (learning robots), biomechanics
  • Reality/virtuality: design of virtual environments, observation of behaviors
  • Modeling, systems, business processes, RPA, Open Source tools
  • Blockchain, introduction to quantum computing, IoT
  • IT frontiers (health, education, public services, etc.)
Humanities, Social Sciences, and Cultural Systems
  • Involvement of the IT Professions in the collective responsibility of changes in societies and practices
  • Controversies in social sciences: a computer science in time of Anthropocene
  • Sociology of digital transformations
  • Law, regulations, freedoms, disinformation, discrimination.
  • Ethics by design, the question of commonalities, open sciences
  • Management, Future of work, AI and task modeling: how to place professional collectives in a position to get involved?
  • Critical approach to collective intelligence, design thinking, agile approach, citizen mobilization, new forms of democracy (continuous democracy, platform state, ...)
First year planning

Courses’ planning, students’ projects and internships in Master 1

Semester 1: Intensive courses

Mandatory courses:

  • Bootcamp (Python programming, AI, tools for Virtual Reality)
  • Open Sciences

Selectable courses:

  • Artificial Intelligence
  • Big Data
  • Robotic
  • Augmented Reality, Virtual Reality
  • Digital Project
  • Frontiers of IT
Semester 2: Courses, internships and projects

Mandatory courses:

  • Digital Society
  • Advanced Computing
  • Open Source Applications
  • Management and Projects Design
  • Masterclasses
  • Internship and personal projects
  • Intensive courses and time dedicated to the development of professional projects
  • 1 internship from 5 to 6 months
Second year planning

Courses’ planning, students’ projects and internships in Master 2

Semester 3: Courses, internships, and projects

Mandatory courses:

  • Creation of an Interdisciplinary Research Project
  • Critical Analysis of Research Articles and Bibliographic Tools
  • Internship and personal projects

Selectable courses:

  • Skills & Data
  • Project Management (DeepTech Founder)
Semester 4: Research courses, Master thesis, internships and projects

Mandatory courses:

  • Bibliographical Project
  • Research Project
  • Management and Projects Design
  • Masterclasses
  • Internship and personal projects
  • 2 internships: one in Semester 3, one in Semester 4
  • 1 or 2 weekly days of university grouping, for solid training in research methods and project, personal and professional project support.
  • Students entering directly into Master 2 may follow all or part of the Semester 1 courses.
Digital Sciences at CRI

Digital Sciences students are going to experiment:

Complex and stimulating social fields: laboratories, schools, the university of the future, museums, CIOs, corporate R&D, citizen laboratories, etc. All projects are linked to subjects of rapid digital transformation.

Real data sets, for implementable solutions, designed collectively.

An individualized path, co-designed at the beginning of the year, based on self-evaluation and personal development, supported by project, research and skills mentoring.

A learning territory, vibrant with international events, creativity, and collective intelligence, welcoming for all through its quality of exchange and relationships.

A fluid training: in the same promotion, initial training, continuous training, apprenticeship, and professionalization co-exist, the modalities responding to the analysis of each individual situation.

Pedagogical team

Our teachers, partners and inspirations

  • CRI professors and researchers, engaged in the transformation of learning, and ecological challenges.
  • Research professors at the Université de Paris
  • CRI’s network of friends and partners, including the Hub France IA
  • Teachers, researchers, and professionals also working in Engineering and Management schools, in France and abroad.