The main objective of the Distributed Artificial Intelligence (DAI) track is to specialize in the field of AI by including all current approaches, namely: *Symbolic AI: representation of knowledge and the modeling of the reasoning of intelligent systems (software or robots) called intelligent agents *Statistical AI: machine learning for the extraction of knowledge from massive data *Distributed AI (DAI): distribution of intelligence between different autonomous systems (multi-agent systems) and the different types of interaction between these systems to achieve common goals collaboratively or individual goals in a competitive environment Following this program, students will have the opportunity to continue their studies in a doctoral thesis either in a public lab or in a research and development (R&D) department of private companies. They will also have the opportunity to work as research engineers in R&D departments by applying the techniques taught in different areas of real applications (banking and insurance, medical diagnosis, risk management and mitigation, crisis management, anomaly detection, recommendation systems, self-driving cars, smart cities, compliance management, decision support systems and automated decision-making, internet of things, marketing, finance, legal reasoning, robotics, etc). Many large companies (Orange, RATP, SNCF, Airbus, Alstom, Safran, Thales, etc.) and startups are interested in the skills of our students by offering internships which in most cases lead to job offers. Skills developped: *Critical analysis across multiple fields *Problem-solving using appropriate algorithms *Data interpretation from complex systems *Proficiency in programming and adaptability *System architecture design (hardware & software) *Research and synthesis of specialized information *Effective communication, including in a foreign language *Evaluation of solutions (performance, scalability, security, energy)
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Review the official Université Paris Cité page and confirm entry requirements for Master's degree (M2) in Information Technology - Distributed Artificial Intelligence.
Gather transcripts, degree certificates, passport, CV, motivation letter, and language documents required by the university.
Complete the official application (Mon Master / Parcoursup / direct portal / Études en France for non-EU) and upload all supporting documents before the stated deadline.
📅 Deadline: 2027-03-16
Watch for interview invitations, additional document requests, or admission offers from the institution.
After admission, finalize tuition planning, French long-stay student visa (VLS-TS) documentation, accommodation, and CVEC payment.
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What you can earn and how long you can stay after graduation.
What happens after you graduate
Work while studying
20 hrs/week
Up to 964 hours per year (roughly 20 hours/week). Work permit included in student visa.
Student pay rate
€11.88/hour
SMIC (minimum wage) applies. Student jobs in hospitality and retail typically pay minimum wage.
Stay after graduation
12 months
APS (Autorisation Provisoire de Séjour) — One-year temporary stay permit after graduation to find work. Renewable once. Must have Master's or higher.
Path to residency
5 years
Permanent residency after 5 years of legal residence. Talent Passport holders may qualify faster.
Average graduate salary
€35,000/year
Average starting salary. Paris-based roles typically 20–30% higher. Tech sector averages €42,000+.
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