A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.
The graduates in MSc in Automation / Autonomous Systems have a powerful background in classical engineering fields, such as thermodynamics, mechanics, electric drives, automatic control, and in the disciplines of the data and telecommunication technology, like computer science, electronics, communication systems.
France, officially the French Republic, is a unitary semi-presidential republic located mostly in Western Europe, with several overseas regions and territories.
Nantes is located on the Loire River in the West France. With a headcount of more than 550,000 residents, the city is the 6th largest in France. It has several areas of leisure and hosts several annual festivals. Nantes has 2 universities and numerous of colleges around the city.
Top Masters in Automation / Autonomous Systems in Nantes in France
The Signal and Image Processing (SIP) program provides the necessary skills in signal modeling, image processing and machine learning, relevant to the theory and the practice of data analysis and information retrieval, for the development of modern numerical methods. [+]
Signal and Image Processing (CORO SIP)
The Signal and Image Processing (SIP) program provides the necessary skills in signal modeling, image processing and machine learning, relevant to the theory and the practice of data analysis and information retrieval, for the development of modern numerical methods.
The courses of SIP program address the theory and the practice of advanced data analysis techniques, from computational statistics, applied mathematics, scientific computing, and numerical imaging, to their practical implementation in several fields such as biomedical engineering, imaging science, audio processing and information technology.
The key feature of the program is the design of mathematical solutions, for signal and image processing problems, accounting for the physical specificities of this data and adapting the numerical implementation of these solutions to the application context, the data amount and the available computational resources.... [-]