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 Learning Planet Institute. They enrich digital sciences with interdisciplinary sciences perspectives and move the frontiers of knowledge. The scientific materials are the data coming from living systems, social systems, and machines. You will learn digital knowledge, under the light of the sociology of digital worlds.

Computer Sciences, Applications, and Engineering
  • AI: classification algorithms, regression, clustering, neural network, prediction
  • Data Science: collection, preparation, storage, processing, exploitation of heterogeneous data (images and texts, Open Data, Data visualization, etc.)
  • Robotics: 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’ overview, students’ projects and internships in Master 1 (2021)

The exact content is adjusted every year.

Semester 1: Courses

Mandatory courses:

  • Bootcamp (Python programming, Maths for AI and Data Science)
  • Open Sciences
  • Artificial Intelligence
  • Data Science

Selectable courses:

  • Robotics & IoT
  • Extended Reality
  • Advanced Digital Sciences 1
Semester 2: Courses, internships and projects

Mandatory courses:

  • Digital Society
  • Advanced Digital Sciences 2 (check the opening in november)
  • Open Source
  • Agile Methods
  • Seminars/Masterclasses
  • Internship(4 days per week(Monday to Thursday)/full time) and personal projects
  • Courses and time dedicated to the development of professional projects
  • 1 internship from 5 to 6 months(Full time from Monday to Thursday, courses on Friday)
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 Annotated Bibliography
  • Internship(4 days per week(Monday to Thursday)/full time)

+ Selectable courses:

  • Advanced Digital Sciences 3
  • Entrepreunership
Semester 4: Research courses, Master thesis, internships and projects

Mandatory courses(1 day/week):

  • Advanced Digital Sciences 4
  • Research Project
  • Project Management
  • Masterclasses
  • Internship(4 days per week Monday to Thursday/full time) or personal projects
  • 2 internships: one in Semester 3, one in Semester 4 (Full time from Monday to Thursday, courses on Friday)
  • 1 weekly day of university grouping on Friday, for solid training in research methods and project, personal and professional technical courses
  • Students entering directly into Master 2 must follow 4 M1 courses instead of the first internship(Bootcamp, AI, Data Science and another course of their choice)
A learning experience

Digital Sciences students are going to experiment:

Complex and stimulating environments: research laboratories, schools, the university of the future, corporate R&D, citizen labs, etc. All projects are linked to subjects of rapid digital transformation.

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

A fluid training: starting with an intensive 4 week bootcamp training, followed by intensive courses, masterclasses, continuous training through practice (internship/apprenticeship allowing professionalization to co-exist), the different modalities respond to the analysis of each individual situation.

Pedagogical team

Our teachers, partners and inspirations

  • Learning Planet Institute professors and researchers, engaged in scientific approaches to transform open science, open learning and ecological challenges.
  • Research professors of University Paris Cité and other universities in France and abroad
  • Learning Planet Institute’s network of friends and partners, as Hub France IA, Unesco, AFD and a network of Alumni working all around the world
  • Teachers, researchers, and professionals also working in Engineering schools and corporate R&D departments in France and abroad.

Master AIRE is part of EURIP Graduate School for Interdisciplinary Research