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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.
Programme 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
The application file must consist of the following elements:
A CV
A cover letter
The transcript of the last diploma (and any previous courses of interest)
A letter of recommendation is optional but accepted for students not coming from the Université Côte d'Azur (for the latter a letter of recommendation is useless)
2 Years
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
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:
Bioinformatics and Computational Biology
Valrose, Nice, France
# 301-350QS Subject Rankings
24 monthsProgramme duration
Biological SciencesMain Subject Area
Programme 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.
Programme 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
The application file must consist of the following elements:
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.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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