A master's degree is a postgraduate academic degree. One must already have an undergraduate degree to apply for a master's program. Most master's degree program would require students to complete a master's thesis or research paper.
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 offers a superb higher education system to not only its citizens but also foreigners. The country's dynamic culture attracts foreign students and those interested in pursuing international courses. France has a tradition of scientific and technological innovation. This ensures that scholars fully utilize their creativity.
Request Information Master's Degrees in Automation / Autonomous Systems in Loire-Atlantique in France 2018
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.... [-]