Information Sciences

Study mode:On campus Study type:Full-time Languages: English
Local:$ 2.11 k / Year(s) Foreign:$ 4.23 k / Year(s) Deadline: Mar 25, 2025
501–600 place StudyQA ranking:3171 Duration:2 years

The objective of the Information Sciences Master’s program is to train industrial or research professionals to master the theoretical foundations of IT, and the various concepts and tools implemented in today’s IT systems.

Data sciences needs in the decade to come will be significant: the need for data scientists is felt in key individual fields (information searches, education, culture, social networks), scientific fields (e-science), social fields (healthcare, education, e-government), and economics (industrial production, advertising, sales).

The success and relevance of these applications rely on the development of innovative methods that enable us to exploit huge volumes of diverse and unstructured data (Big Data). Studying this subject opens doors for students in executive and senior executive IT career roles in industrial and service sectors, or careers in research and R&D, in managing data in universities, public or private research organizations, large companies and start-ups.

All the courses are taught in English, and are based on the Erasmus Mundus IT4BI Master (Information Technologies for Business Intelligence). The cursus offered covers the following Teaching Units (UE):

  • 4 UE for scientific and technological courses (5 ECTS per UE) 

    • Semantic Technologies

    • Exploration of data and training

    • Analytic visualization

    • Modeling for decisional aids

  • 1 UE for the introduction to innovation and research (5 ECTS)

  • 1 UE for French language and European culture (5 ECTS)

  • 1 UE for R&D project (Internship) (30 ECTS)

For foreign national applicants (outside of the European Union and European Economic Area (EEA), Switzerland, Monaco or Andorra):

Consult the consular authorities concurrently to find out the procedures for obtaining your student visa. Depending on which country you are from, some authorities may ask you to use the CampusFrance facility.

The CampusFrance procedure must be followed concurrently with submission of your application to your choice of study program on the Université Paris-Saclay platform: https://apply-tc.ecp.fr/


Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

  • ✔️ Flexible study schedule
  • ✔️ Experienced teachers
  • ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

International mobility grant (IdEx Paris-Saclay)

The IdEx Paris-Saclay project, of which CentraleSupélec is a partner, aims to promote international openness to master’s-level training programs provided by partner institutions, and to facilitate access for high-level international students wishing to develop a research training project up to doctoral level.

As such, for each university academic year, a one-year grant will be granted (for candidates accepted into the 2nd year of a Master’s degree), which can be renewed (for candidates admitted into the 1st year of a Master’s degree subject to obtaining successful results), to international students, to fund their completion of a Master’s degree with CentraleSupélec.

Applicants must first submit an application online (Application section). The person in charge of the training selects, from among the admitted, candidates to whom he will propose to apply for this scholarship. Each selected candidate will then be informed by e-mail so that they can complete their application for the scholarship; He must in particular provide the email address of two referrers who must complete their recommendations online before the deadline specified in website of  University Paris-Saclay.

Ile-de-France Master’s degree grant

International applicants for a Master’s degree may be eligible for financial support from the Ile-de-France Regional Council.

This support is for foreign national students arriving for the first time, aged 30 and under in the year of selection, and wishing to complete a Master’s degree in whichever field of studies they have chosen.

All nationalities are eligible. However, priority will be given to candidates from priority decentralized cooperation areas of the region, or developing countries, particularly in Asia, Latin America, Eastern Europe, the Middle East or new European Union member states.

Candidates must first file an application online, specifying in the grant section that they would like to apply for the Ile-de-France grant.

After first submitting the online application for their chosen Master’s degree program and downloading the grant request form from the Ile-de-France website, international candidates must then return this with all necessary documents – before March 1 - to:

Programme Master
CentraleSupélec - Direction des Études
Bâtiment Olivier - Bureau N 104
Grande Voie des Vignes
92295 Châtenay-Malabry cedex

The Studies Board can then establish the list of eligible candidates before their grant file is sent within the decision deadline imposed by the Ile-de-France Regional Council.

Grants offered on the CampusFrance website

The CampusFrance “Campus Grant” directory provides you with quick access to information about financial support, enables you to search according to your profile and describes various government institution, local authority, company, foundation and higher education institution programs.

Career opportunities

Doctorate or R&D teams, either in major groups or in innovative SMEs. From the industrial point of view, the ever-increasing quantity of data, the rapid and complex changes in the economy and the emerging tendency to incorporate unstructured data in analytical processes bring new challenges to the field of decisional computing. Academically, new research opportunities are created by the recent development in users’ requirements and concern the management of structured data and unstructured content (analysis of documents, personalization and recommendation, graph databases, composition of knowledge bases, mapping company data, etc.).

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