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The Bioinformatics and Computational Biology (BBC) course aims to train students from various backgrounds (biologists, computer scientists, physicists, mathematicians) and attracted by multidisciplinarity to quantitative approaches for biology and medicine of the 21st century.
This course is an evolution of the Biology, Computer Science and Mathematics (BIM) course, the M1 of which will begin in September 2022.
The acceleration of biotechnologies producing high-throughput omics data, the enrichment of large biomolecular databases, and the development of imaging techniques, constantly reveal the great complexity of biological processes.
The Bioinformatics and Computational Biology course aims to train students in quantitative approaches in bioinformatics, big data analysis, physics and mathematical modeling for the interpretation and understanding of biological processes.
The training offers students the opportunity to acquire the fundamental knowledge and skills in bioinformatics and/or computational biology allowing them to become actors in the contemporary fields of research inbiology. The two long-term internships provide significant experience in a professional research environment.
The course is divided into two main paths, bioinformatics or computational biology, the contents of which allow students from various backgrounds to develop their own skills.
The combination of these paths, the set of options and long internships allows each student to personalize their exit profile around the common interdisciplinary base, both from the point of view of biological themes (genetics, ecology, neurosciences, medicine, etc.) than that of modeling and data analysis methods.
Program overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Bioinformatics and Computational Biology (BBC) course aims to train students from various backgrounds (biologists, computer scientists, physicists, mathematicians) and attracted by multidisciplinarity to quantitative approaches for biology and medicine of the 21st century.
This course is an evolution of the Biology, Computer Science and Mathematics (BIM) course, the M1 of which will begin in September 2022.
The acceleration of biotechnologies producing high-throughput omics data, the enrichment of large biomolecular databases, and the development of imaging techniques, constantly reveal the great complexity of biological processes.
The Bioinformatics and Computational Biology course aims to train students in quantitative approaches in bioinformatics, big data analysis, physics and mathematical modeling for the interpretation and understanding of biological processes.
The training offers students the opportunity to acquire the fundamental knowledge and skills in bioinformatics and/or computational biology allowing them to become actors in the contemporary fields of research inbiology. The two long-term internships provide significant experience in a professional research environment.
The course is divided into two main paths, bioinformatics or computational biology, the contents of which allow students from various backgrounds to develop their own skills.
The combination of these paths, the set of options and long internships allows each student to personalize their exit profile around the common interdisciplinary base, both from the point of view of biological themes (genetics, ecology, neurosciences, medicine, etc.) than that of modeling and data analysis methods.
Admission Requirements
2 Years
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Bioinformatics and Computational Biology
Valrose, Nice, France
# 301-350QS Subject Rankings
24 monthsProgram duration
YesScholarships
Biological SciencesMain Subject Area
Program overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Bioinformatics and Computational Biology (BBC) course aims to train students from various backgrounds (biologists, computer scientists, physicists, mathematicians) and attracted by multidisciplinarity to quantitative approaches for biology and medicine of the 21st century.
This course is an evolution of the Biology, Computer Science and Mathematics (BIM) course, the M1 of which will begin in September 2022.
The acceleration of biotechnologies producing high-throughput omics data, the enrichment of large biomolecular databases, and the development of imaging techniques, constantly reveal the great complexity of biological processes.
The Bioinformatics and Computational Biology course aims to train students in quantitative approaches in bioinformatics, big data analysis, physics and mathematical modeling for the interpretation and understanding of biological processes.
The training offers students the opportunity to acquire the fundamental knowledge and skills in bioinformatics and/or computational biology allowing them to become actors in the contemporary fields of research inbiology. The two long-term internships provide significant experience in a professional research environment.
The course is divided into two main paths, bioinformatics or computational biology, the contents of which allow students from various backgrounds to develop their own skills.
The combination of these paths, the set of options and long internships allows each student to personalize their exit profile around the common interdisciplinary base, both from the point of view of biological themes (genetics, ecology, neurosciences, medicine, etc.) than that of modeling and data analysis methods.
Program overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Bioinformatics and Computational Biology (BBC) course aims to train students from various backgrounds (biologists, computer scientists, physicists, mathematicians) and attracted by multidisciplinarity to quantitative approaches for biology and medicine of the 21st century.
This course is an evolution of the Biology, Computer Science and Mathematics (BIM) course, the M1 of which will begin in September 2022.
The acceleration of biotechnologies producing high-throughput omics data, the enrichment of large biomolecular databases, and the development of imaging techniques, constantly reveal the great complexity of biological processes.
The Bioinformatics and Computational Biology course aims to train students in quantitative approaches in bioinformatics, big data analysis, physics and mathematical modeling for the interpretation and understanding of biological processes.
The training offers students the opportunity to acquire the fundamental knowledge and skills in bioinformatics and/or computational biology allowing them to become actors in the contemporary fields of research inbiology. The two long-term internships provide significant experience in a professional research environment.
The course is divided into two main paths, bioinformatics or computational biology, the contents of which allow students from various backgrounds to develop their own skills.
The combination of these paths, the set of options and long internships allows each student to personalize their exit profile around the common interdisciplinary base, both from the point of view of biological themes (genetics, ecology, neurosciences, medicine, etc.) than that of modeling and data analysis methods.
Admission Requirements
Tuition Fee
Scholarships
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