Join an excellent international Master of Science in Engineering in Cyber-Physical Systems, Artificial Intelligence, and the Internet of Things
The Master of Science in Engineering Cyber-Physical and Social Systems: Artificial Intelligence and Internet of Things (CPS2: AI and IoT) is a selective international track of the Computer Science Master of Science in Engineering program, open to French and international applicants with a strong background in computer science. Admission is based on application review, to assess academic level, suitability of the academic background, motivation for AI / IoT / systems topics, and the ability to follow a demanding curriculum taught entirely in English.
Target audience and prerequisites
The Master of Science in Engineering CPS2 is intended for applicants who wish to develop solid expertise in computer science, with a strong focus on AI and connected systems. Applications from international students are welcome; diploma equivalency is assessed by the selection committee.
Eligibility requirements
Entry Levels
| Admission Level | Required Degree | Applicant Profile |
| Entry into First year of Master’s | Bachelor’s Degree (L3, 180 ECTS) in Computer Science (Computer Science). | Solid foundation in programming, algorithms, and applied mathematics. |
| Entry into Second year of Master’s | Master of Science in Engineering 1 (M1, 240 ECTS) or equivalent in Computer Science or a related scientific field. | Proven skills in distributed systems or AI/IoT technologies. |
Academic Profiles
| Criteria | Requirement | Details |
|---|---|---|
| Required Field | Computer Science or equivalent | Consistent academic background in digital sciences / computer science. |
| Technical Skills | Solid foundation in computer science | Programming, algorithms, data structures, software development. |
| Systems & Networks | Expected basic knowledge | Architecture concepts, services, networks, connected systems (depending on track). |
| Applied Mathematics | Recommended | Useful concepts for AI and analysis (probabilities, statistics, optimization depending on track). |
| Language | Mandatory English | Courses are taught in English; a good command is required. |
Typical admitted profiles
- Students holding a Licence/Bachelor’s Degree in computer science (or equivalent), with good academic results.
- Students holding an M1 (or equivalent) in computer science / digital sciences.
- Students in an engineering program (equivalent year), depending on the coherence of the application and project.
- International applicants (Bachelor/MSc equivalent): equivalency is assessed by the committee.
Recommended prior skills
While not mandatory, these elements significantly strengthen an application:
- regular practice of programming (projects, internships, personal achievements);
- initial foundation in AI / data (machine learning, applied statistics, data processing);
- systems knowledge (software architecture, services, web/API) and interest in connected systems / IoT;
- ability to produce documented work (structured projects, reports, clear presentation).
Language Requirements (English)
- Instruction: the programme is delivered in English.
- Proof of Proficiency: a good command of English is expected, attested by previous academic records and/or, if necessary, by a standardized test (level B2 ).
Application procedure
Selection, carried out by the academic committee, takes place in three stages.
1. Submission of the application file
The complete application file must contain, at a minimum, the following documents:
- Curriculum Vitae (CV), detailing your academic background and professional experience/internships.
- Motivation Letter, explaining your professional project and its relevance to the Master of Science in Engineering.
- Official Transcripts for your entire academic career (Bachelor’s and Master 1).
- Diplomas: copies of your previous diplomas.
- English Proficiency Certificate (TOEFL, TOEIC, IELTS or equivalent) if English is not the applicant’s native language or language of instruction.
- French Language Test (TEF, DELF…) for non-French-speaking students.
- Recommendations: academic and/or professional recommendation letters (optional depending on the application platform).
A. French and European Union applicants
B. International Applicants: “Études en France” Procedure
If you are a foreign student not a national of the EEA (nor Switzerland/Monaco/Andorra) and reside in a country covered by “Études en France”, you must complete two steps:
This step is essential to obtain a visa and may also provide access to scholarships.
International students are encouraged to apply as early as possible.
More information
2. Review of the application file by the academic committee
The criteria assessed are:
- the academic level and the fit of the academic background,
- the coherence of the career plan,
- transversal skills (motivation, rigour, ability to work).
3. Selection interview (optional)
An interview (remote or in person) may be organised to:
- better understand the motivation,
- clarify the intended track,
- verify certain prerequisites.
Timeline
The Master’s program organizes two recruitment campaigns.
Round 1
| Stage | Indicative period |
| Applications open | Early January |
| Application deadline | Late February |
| Admission results | Late March |
| Start of classes | September |
Round 2
| Stage | Indicative period |
| Applications open | Early March |
| Application deadline | Late April |
| Admission results | Late May / Early June |
| Start of classes | September |
Need help?
The academic and administrative team can answer your questions regarding:
- admission requirements,
- degree equivalency,
- application file preparation,
- procedures for international applicants.
Contact us:
Contacts
Academic director of the master’s program
Administrative contact
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