MASTER IN COMPUTER SCIENCES Distributed Artificial Intelligence (DAI)
Language(s) of instruction: First year (M1) : French (85%) and English (15%)
Second year (M2): French (70%) and English (30%) OR English if there is at least one non-French-speaking studen.
Length of study: 2 years, full time
Course Location: Université Paris Cité, France
Degrees awarded: Master Informatique – Parcours : Intelligence artificielle distribuée
Entry Requirements:
- Admission to the first year of the Master’s programme (M1) is open to students holding a Bachelor’s degree in Computer Science, or an equivalent qualification as determined by the academic committee.
- Admission to the second year of the Master’s programme (M2) is open to students who have successfully completed the first year of a Master’s degree in the same discipline, or who have a level deemed equivalent by the academic committee.
Language pre-requisites: B2 level required in French for the first year of the Master’s program (proof required if not French-speaking).
B2 level required in English for the second year of the Master’s program (proof required if not English-speaking).
Course overview
The main objective of the Distributed Artificial Intelligence (DAI) specialization-track is to specialize students in the field of Artificial Intelligence (AI) by including all current approaches, namely:
-Symbolic Artificial Intelligence: focused on the representation of knowledge and the modeling of the reasoning of intelligent systems (software or robots) called intelligent agents.
-Statistical Artificial Intelligence: focused on machine learning for the extraction of knowledge from massive data.
-Distributed Artificial Intelligence (DAI): using (and adapting when necessary) symbolic and statistical AI techniques, it focuses on the distribution of intelligence between different autonomous systems (called multi-agent systems) and the different types of interaction between these systems to achieve common goals collaboratively or individual goals in a competitive environment.
The DAI program provides students with a solid theoretical background. Following this program, students will have the opportunity to continue their studies in a doctoral thesis either in a public laboratory 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, such as 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 and competencies developed
- Develop a critical awareness of knowledge in a field and/or at the interface of several fields
- Relate a category of problems to appropriate problem-solving algorithms and assess their relevance: limits of use and effectiveness
- Analyse, interpret and summarise the results of complex computer systems
- Master several modelling and programming paradigms and be able to adapt to new languages
- Propose a hardware and software architecture capable of integrating the problem data and solving it
- Solve problems to develop new knowledge and procedures and integrate knowledge from different fields
- Identify, select and analyse critically a variety of specialist resources to document a subject and synthesise these data with a view to their use
- Communicate orally and in writing in at least one foreign language for training or knowledge transfer purposes
- Analyse the results of a proposed solution in relation to an application domain and from the point of view studied (performance, scalability, security, energy consumption, etc.)
Admissions
The admissions procedures may differ according to your status.
Find out more
Contact
Administrative Coordinator
masters@mi.parisdescartes.fr
Pedagogical Coordinator
Head of the IAD Master’s program
Pr. Pavlos MORAITIS
pavlos.moraitis@u-paris.fr