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The Data Science, Signal and Image Processing* Master's programme focuses on understanding and developing state-of-the-art methodology for data analysis, machine learning and signal and image processing. The acquired knowledge concerns both theoretical foundations and practical applications of data science and information retrieval, essential for the development of cutting-edge numerical methods. The courses delve into advanced data analysis techniques, encompassing numerical mathematics, computational statistics, information theory, and scientific computing. Practical use is explored across various domains, including biomedical engineering, computational imaging, audio processing, industrial manufacturing, or remote sensing.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Data Science, Signal and Image Processing* Master's programme focuses on understanding and developing state-of-the-art methodology for data analysis, machine learning and signal and image processing. The acquired knowledge concerns both theoretical foundations and practical applications of data science and information retrieval, essential for the development of cutting-edge numerical methods. The courses delve into advanced data analysis techniques, encompassing numerical mathematics, computational statistics, information theory, and scientific computing. Practical use is explored across various domains, including biomedical engineering, computational imaging, audio processing, industrial manufacturing, or remote sensing.
Admission Requirements
6.5+
80+
160+
International students with a bachelor's degree (Bachelor of Engineering, Bachelor of Science, Bachelor of Technology) or equivalent, in a field related to Science and Technology. Students must have graduated from the above before the end of August in order to enrol in a Master's Programme at Centrale Nantes in September. Applicants must have a good level in Mathematics and be fluent in English - written and spoken.
28 Apr 2026
2 Years
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
254 EUR
International
12,000 EUR
Scholarships
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Nantes, Nantes, France
24 monthsProgramme duration
12,000 EURTuition Fee/year
28 Apr, 2026Application Deadline
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The acquired knowledge concerns both theoretical foundations and practical applications of data science and information retrieval, essential for the development of cutting-edge numerical methods. The courses delve into advanced data analysis techniques, encompassing numerical mathematics, computational statistics, information theory, and scientific computing. Practical use is explored across various domains, including biomedical engineering, computational imaging, audio processing, industrial manufacturing, or remote sensing.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The acquired knowledge concerns both theoretical foundations and practical applications of data science and information retrieval, essential for the development of cutting-edge numerical methods. The courses delve into advanced data analysis techniques, encompassing numerical mathematics, computational statistics, information theory, and scientific computing. Practical use is explored across various domains, including biomedical engineering, computational imaging, audio processing, industrial manufacturing, or remote sensing.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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