This Master of Science degree meets the needs of multi-sensor data processing stored in very large databases. In several applicative areas such as Telecommunications, Medical Imaging, Virtual Reality, Telemonitoring, Biometrics, Bioinformatics, Environmental Sciences, Banking, Insurance, Data Mining (textual, multimedia), great amounts of data are captured through specialized sensors and must be processed and further analyzed for different purposes related to the application. This Master degree is designed to provide Machine Learning tools allowing all types of real data analysis, from end to end: once raw data has been captured, it is often noisy or degraded and must be pre-processed, in order to remove the noise; then pertinent information (features) must be extracted and modeled through Machine Learning techniques for automatic classification or prediction purposes. Through an interdisciplinary approach, advanced knowledge in Signal Processing, statistical models, Machine Learning, Computer Vision, data fusion, and content-based indexing and retrieval in multimedia databases is given to future data scientists.
- Data Scientists
- R&D engineers
- Project managers
- PhD position in a research laboratory
Good background in Applied Mathematics and Computer Science is required.
Language of instruction: lectures taught in English with intensive French courses in parallel – the first semester contains leveling technical courses.
Location: Telecom SudParis, Evry
Cost: 6 000 euros
Coordinator: Prof. Sonia GARCIA-SALICETTI, Telecom SudParis
Level: Master 2
Language of instruction: lectures taught in French, with monitoring and on-line materials both available in English – the fourth semester is devoted to the preparation of a Master thesis in a public or private research centre
Location: CNAM, Paris ; Telecom SudParis, Evry
Cost: 6 000 euros
Coordinator: Cécile MALLET, LATMOS, UVSQ