Objectives: At the interface of software and hardware aspects, the standard course in Mobile and Embedded Intelligent Systems (SIME) of the Master's Degree in Data Science and Engineering (SID) aims to train engineers capable of leading projects integrating the most advanced technologies in the field. network, mobile terminals, real-time embedded computing, and artificial intelligence. In the age of smartphones, smart connected objects and the Internet of Things, the sectors of activity concerned are very numerous. We can cite mobile health, education, the “silver economy”, security, but also control, communication, aeronautics, naval, robotics, transport, energy, the cloud, nuclear , the military, etc.
Degree Level (EU) : 7 - (EQC level or equivalent)
Prerequisites: Recommended licenses:
- EEEA license
- Informative license
- Mathematics degree
Targeted careers : The targeted professions come in a wide variety of ways: engineer (architect) of single-multi-application real-time embedded systems, engineer of intelligent digital systems, engineer of mobile networks and sensor networks, engineer (architect) of embedded platforms, engineer in multi-sensor data fusion, human-machine interface design engineer, mobile application architect, system and/or embedded software project manager, embedded data security/reliability specialist, software designer and developer.
Demands for such engineers are growing significantly and strategically in modern economies.
Duration and terms: 2 ans
Dedicated web site: https://tinyurl.com/t9hep3rj
Dedicated web site : https://www.insa-rouen.fr/formation/masters/sciences-et-ingenierie-des-donnees ()