The DataAI study track is a two-year master’s program at the Institut Polytechnique de Paris to prepare students for a PhD. 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 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 with scientific projects and internships. This way, students are optimally prepared for doing a PhD.
- Language of instruction: English
- ECTS: 120
- Orientation: PhD
- Duration: 1 year (M2) or 2 years (M1+M2)
- Start: September
- Course Location: Quartier Polytechnique, Palaiseau, France
Composition du parcours
SD202 TPT-DATAAI951 SLR210 SES210 MODS205 IA301 TPT-DATAAI965 IA325 TPT-DATAAI970 TPT-DATAAI921 TPT-DATAAI961 TPT-DATAAI941 SD206 TPT-DATAAI962 TPT-DATAAI903 TPT-DATAAI901 TPT-DATAAI964 TPT-DATAAI971 TSP-CSC5003-1 X-INF552 X-INF582 X-INF554 ENSTA-IA302 X-INF581-1 X-INF553 X-INF556 SD201 X-INF513 X-ECO555 X-INF587 IA318 X-PHY580 PhDPROJ991 X-MAP/INF641 IA315 TPT-DATAAI902 SD213 IA312 SD212 IA307 SD202 (cr.D) MDI210 ACCQ206 SES207 INF203 FLES-MUTUALISE TPT-DATAAI967 INF224 X-INF643 INF280