The DataAI study track is a two-year master’s program at the Institut Polytechnique de Paris. It is concerned with Artificial Intelligence (AI) and large-scale data management. To apply, you can browse the official IP Paris webpage for the the M1 and for the the M2.
The program is taught in English. It teaches the students the basics of Machine Learning, Logic, Big Data Systems, and Databases, before diving into applications in advanced machine learning, symbolic AI, swarm intelligence, natural language processing, visual computing, and robotics. Students can choose from a wide variety of courses, including on the mining of large datasets, big data processing systems, reinforcement learning, GPU programming, semantic networks, cognitive modeling, self-organizing multi-agent systems, autonomous navigation for robots, text mining, image understanding, as well as social issues in AI. The program has a focus on research, and aims to familiarize students from the beginning with scientific work: there is a scientific project in the first year, and an internship in the second year. This way, students are optimally prepares for scientific work, a PhD, or research and development positions.
- Language of instruction: English
- ECTS: 120
- Orientation: Research and Industry
- Duration: 1 year (M2) or 2 years (M1+M2)
- Course Location: Quartier Polytechnique, Palaiseau, France
Educational objectivesThe master’s program will equip students with the fundamental knowledge, technical skills and concrete applied methodologies for making machines more intelligent. In particular, students will acquire experience in using and developing data-supported smart services and tools for data-driven decision making and will learn how to master technical and scientific challenges in processing large data and knowledge. The students will be taught to solve theoretical problems as well as applied ones, to present their work both in oral presentations and in written reports, to analyze the bibliography and identify open research directions, to work independently as well as in a team, to identify and seek appropriate resources for advancing their work, whether theoretical or applied, and to take initiatives.
Career prospectsThe combination of big data and artificial intelligence in all of its forms is an active field of research. Students will be prepared for research in Robotics, Image processing, Machine Learning, Web technologies, the Social Web, Data Analytics, Big Data Management, Knowledge Base Management, Information Extraction, Information Retrieval, Databases, Data Warehousing, Knowledge Representation, and Distributed Data Management. Students who wish to pursue a PhD afterwards are more than encouraged to do that. The Institut Polytechnique de Paris and the associated research labs (INRIA, CNRS, etc.) offer a great environment for a PhD, and our program is an optimal preparation for this path. The program will also allow students to apply to positions in the industry, mostly in research and development labs.
- ENSTA Paris
- École Polytechnique
- Télécom Paris
- Télécom SudParis
Chairs and partnerships
- Chaire Data Science and Artificial Intelligence for Digitalized Industry and Services (Télécom Paris et al.)
- Chaire Data Engineering et Intelligence Artificielle pour la Banque et l’Assurance (Télécom Paris et al.)
- Chaire Pédagogie des Sciences de la Donnée (Télécom Paris et al.)
- Chaire Data Science pour le e-commerce (Télécom Paris et al.)
- Chaire Methods and Algorithms for Artificial Intelligence (Télécom Paris et al.)
AdmissionsSee also https://www.ip-paris.fr/master-dataai/ and if you have more questions you can contact Louis Jachiet & Goran Frehse at the address master_CS_Data-Artificial-Intelligence