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The Data Science, Data Science, Signal and Image Processing Master's programme focuses on understanding and developing state-of-the-art methodology for data analysis, signal and image processing, and machine learning. 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 computational statistics, applied mathematics, information theory, and scientific computing. Practical implementation is explored across various domains, including biomedical engineering, computational imaging, audio processing, industrial manufacturing, or remote sensing. A distinguishing feature of the program lies in its emphasis on designing mathematical solutions tailored to the specificity of the data. Both model-based (taking into account physical models and sensing devices) and data-based (relying on statistical and deep learning) approaches are considered, ensuring that the numerical implementation aligns with the specific requirements of the application context, data volume, and available computational resources.
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Data Science, Data Science, Signal and Image Processing Master's programme focuses on understanding and developing state-of-the-art methodology for data analysis, signal and image processing, and machine learning. 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 computational statistics, applied mathematics, information theory, and scientific computing. Practical implementation is explored across various domains, including biomedical engineering, computational imaging, audio processing, industrial manufacturing, or remote sensing. A distinguishing feature of the program lies in its emphasis on designing mathematical solutions tailored to the specificity of the data. Both model-based (taking into account physical models and sensing devices) and data-based (relying on statistical and deep learning) approaches are considered, ensuring that the numerical implementation aligns with the specific requirements of the application context, data volume, and available computational resources.
Admission Requirements
160+
80+
6.5+
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 2025
2 Years
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
243 EUR
International
12,000 EUR
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:
Control and Robotics - Data Science, Signal and Image Processing
24 monthsProgram duration
12,000 EURTuition Fee/year
28 Apr, 2025Application Deadline
Computer Science and Information SystemsMain Subject Area
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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