Descriptif
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
Diplômes concernés
Composition du parcours
- Choix de cours SOFTSKILLS Choix de cours dans le bloc Softskills
- TPT-DATAAI941 Softskills seminar
- Choix de cours ETHICS Choix de cours dans le bloc Ethics
- TPT-DATAAI951 AI Ethics
- Choix de cours LOGICS Choix de cours dans le bloc Logics
- Choix BIG DATA SYSTEMS Choix de cours dans le bloc Big Data Systems
- X-INF583 Systems for Big Data
- TPT-DATAAI921 Architecture for Big Data
- CSC5003 Infrastructures d'analyse de données
- Choix de cours DATABASES Choix de cours dans le bloc Databases
- X-INF553 Database Management Systems
- SD202 Databases / Bases de données
- SD202 (cr.D) Databases (créneau D)
- Choix FULLY OPTIONAL COURSES Choix de cours dans le bloc Fully Optional Course
- IA317 Machine learning in high dimension
- IA327 Sequence-to-Sequence Models for NLP and Speech Processing
- TP09 Social Emergence in Complex Systems (Télécom Paris - Palaiseau)
- SD201 Exploration de données
- IA307 Programming with GPU for Deep Learning
- SD212 Graph Learning
- IA312 Natural Language Processing
- DATAAI966 Multimodal Dialogue
- IA318 Reinforcement learning
- X-INF657G Navigation for autonomous systems
- IA304 Modèles probabilistes et apprentissage automatique
- X-INF581-1 Advanced Machine Learning and Autonomus Agents
- X-INF556 Topological Data Analysis
- X-INF582 Text Mining and NLP
- X-INF641 Introduction to the verification of neural networks
- X-INF552 Data Visualization
- TPT-DATAAI903 Image mining and content-based retrieval
- TPT-DATAAI902 Explainable and Trustworthy AI
- TPT-DATAAI961 Self-organising multi-agent systems
- TPT-DATAAI964 Knowledge Base Construction
- TPT-DATAAI968 Deep Learning for Computer Vision
- TPT-DATAAI969 Representation Learning for Computer Vision and Medical Imaging
- X-INF581A Advanced Deep Learning
- ENSTA-INF656L Decision Procedures for Artificial Intelligence
- MAP654I Practical introduction to machine learning
- Projets M2 DATAAI Projets M2 DATAAI
- TPT-DATAAI970 Project A
- Crédits libres M2 DATAAI 5 Crédits libres M2 DATAAI
- ANG-T-209 Academic Writing
- TSP-CSC5004 Cloud Infrastructures
- TSIA201 Représentations des signaux
- IMA201(b) Introduction au traitement des images (partie b)
- TSP-CSC5003-1 Big Data Infrastructures
- ENSTA-IA302 Constraint Programming
- X-INF564 Compilation
- X-INF573 Image & Computer Vision
- X-INF562 Computational Geometry
- X-INF585 Computer Animation
- ESP-A1 Espagnol général niveau A1
- ANG-T-266 The Hobbit
- IMA204 Imagerie médicale et biologique / Représentation des connaissances S1P2 B1
- X-BIO557 Neurosciences
- IMA201(a) Introduction au traitement des images (partie a)
- IA323 Deep learning based computer vision (ROB313)
- DROIT-TECH Droit des technologies de l'information et de la communication
- IA306 Deep learning I
- DS-télécom-1 (DATA902) Optimisation pour Data Science
- IA326 Kernel Machines
- ALL-B1 Allemand général niveau B1
- IMA205 Apprentissage pour l'image et la reconnaissance d'objets
- Stages M2 Stages M2
- STGM2-IPP Stage de Master 2 IP Paris