24 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Mathematical Engineering and Biostatistics track trains data scientists, artificial intelligence engineers, statisticians, and biostatisticians. The primary career paths are in data-related fields, particularly those connected to health data, the medical field, and the life sciences. The applications covered in the course are consistent with the research themes of the MAP5 laboratory (UMR CNRS 8145, Applied Mathematics). The theoretical tools and methods covered (probability, statistics, machine learning and artificial intelligence, deterministic modeling, databases; essential software tools such as R, Python, SQL, SAS, and Julia) are applicable to a wide range of data, enabling professional integration in all types of sectors. Pursuing doctoral theses is increasingly common and takes place primarily in research institutes at the interface between data processing and applications in health and the life sciences.
Programme overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Mathematical Engineering and Biostatistics track trains data scientists, artificial intelligence engineers, statisticians, and biostatisticians. The primary career paths are in data-related fields, particularly those connected to health data, the medical field, and the life sciences. The applications covered in the course are consistent with the research themes of the MAP5 laboratory (UMR CNRS 8145, Applied Mathematics). The theoretical tools and methods covered (probability, statistics, machine learning and artificial intelligence, deterministic modeling, databases; essential software tools such as R, Python, SQL, SAS, and Julia) are applicable to a wide range of data, enabling professional integration in all types of sectors. Pursuing doctoral theses is increasingly common and takes place primarily in research institutes at the interface between data processing and applications in health and the life sciences.
Admission Requirements
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