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The Bioinformatics and Computational Biology (BBC) track aims to train students from diverse backgrounds (biologists, computer scientists, physicists, mathematicians) who are drawn to multidisciplinarity in quantitative approaches to 21st-century biology and medicine.
The acceleration of biotechnologies producing high-throughput omics data, the enrichment of large biomolecular databases, and the development of imaging techniques are constantly revealing the immense complexity of biological processes.
The Bioinformatics and Computational Biology track aims to train students in quantitative approaches to bioinformatics, big data analysis, physics, and mathematical modeling for the interpretation and understanding of biological processes.
The program offers students the fundamental knowledge and skills in bioinformatics and/or computational biology that will enable them to become active participants in contemporary biological research. Two extended internships provide significant experience in a professional research environment.
The track is divided into two main specializations, bioinformatics or computational biology, whose content allows students from diverse backgrounds to leverage their individual skills.
The combination of these pathways, the range of options and the long internships allows each student to personalize their exit profile around the common interdisciplinary core, both from the point of view of biological themes (genetics, ecology, neuroscience, medicine…) and from 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) track aims to train students from diverse backgrounds (biologists, computer scientists, physicists, mathematicians) who are drawn to multidisciplinarity in quantitative approaches to 21st-century biology and medicine.
The acceleration of biotechnologies producing high-throughput omics data, the enrichment of large biomolecular databases, and the development of imaging techniques are constantly revealing the immense complexity of biological processes.
The Bioinformatics and Computational Biology track aims to train students in quantitative approaches to bioinformatics, big data analysis, physics, and mathematical modeling for the interpretation and understanding of biological processes.
The program offers students the fundamental knowledge and skills in bioinformatics and/or computational biology that will enable them to become active participants in contemporary biological research. Two extended internships provide significant experience in a professional research environment.
The track is divided into two main specializations, bioinformatics or computational biology, whose content allows students from diverse backgrounds to leverage their individual skills.
The combination of these pathways, the range of options and the long internships allows each student to personalize their exit profile around the common interdisciplinary core, both from the point of view of biological themes (genetics, ecology, neuroscience, medicine…) and from that of modeling and data analysis methods .
Admission Requirements
Training prerequisites
The Bioinformatics and Computational Biology track comprises a common core curriculum and two specialization tracks.
Therefore, this track is suitable either for students with a strong background in biology, including mathematics and statistics, for the bioinformatics track, or for students holding a multidisciplinary double degree in Mathematics and Life Sciences, or a degree in mathematics, physics, or from engineering schools (e.g., agricultural, veterinary, or biotechnological), and possessing sufficient knowledge in molecular, cellular, and genetic biology, for the computational biology track.
In both cases, prior experience with programming, for example within a previous multidisciplinary program (such as the bioinformatics track in the third year of undergraduate studies at Université Côte d'Azur), is a significant advantage. The track is also open to those new to programming with a strong interest in computer science, with a tailored curriculum.
Application
Conditions of application
The application file must include the following elements:
A CV
A cover letter
Transcript of grades from the most recent degree (and any previous courses of interest)
A letter of recommendation is optional but accepted for students not from Université Côte d'Azur (for the latter, a letter of recommendation is unnecessary).
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
SepStarting Month
Programme overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Bioinformatics and Computational Biology (BBC) track aims to train students from diverse backgrounds (biologists, computer scientists, physicists, mathematicians) who are drawn to multidisciplinarity in quantitative approaches to 21st-century biology and medicine.
The acceleration of biotechnologies producing high-throughput omics data, the enrichment of large biomolecular databases, and the development of imaging techniques are constantly revealing the immense complexity of biological processes.
The Bioinformatics and Computational Biology track aims to train students in quantitative approaches to bioinformatics, big data analysis, physics, and mathematical modeling for the interpretation and understanding of biological processes.
The program offers students the fundamental knowledge and skills in bioinformatics and/or computational biology that will enable them to become active participants in contemporary biological research. Two extended internships provide significant experience in a professional research environment.
The track is divided into two main specializations, bioinformatics or computational biology, whose content allows students from diverse backgrounds to leverage their individual skills.
The combination of these pathways, the range of options and the long internships allows each student to personalize their exit profile around the common interdisciplinary core, both from the point of view of biological themes (genetics, ecology, neuroscience, medicine…) and from 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) track aims to train students from diverse backgrounds (biologists, computer scientists, physicists, mathematicians) who are drawn to multidisciplinarity in quantitative approaches to 21st-century biology and medicine.
The acceleration of biotechnologies producing high-throughput omics data, the enrichment of large biomolecular databases, and the development of imaging techniques are constantly revealing the immense complexity of biological processes.
The Bioinformatics and Computational Biology track aims to train students in quantitative approaches to bioinformatics, big data analysis, physics, and mathematical modeling for the interpretation and understanding of biological processes.
The program offers students the fundamental knowledge and skills in bioinformatics and/or computational biology that will enable them to become active participants in contemporary biological research. Two extended internships provide significant experience in a professional research environment.
The track is divided into two main specializations, bioinformatics or computational biology, whose content allows students from diverse backgrounds to leverage their individual skills.
The combination of these pathways, the range of options and the long internships allows each student to personalize their exit profile around the common interdisciplinary core, both from the point of view of biological themes (genetics, ecology, neuroscience, medicine…) and from that of modeling and data analysis methods .
Admission Requirements
Training prerequisites
The Bioinformatics and Computational Biology track comprises a common core curriculum and two specialization tracks.
Therefore, this track is suitable either for students with a strong background in biology, including mathematics and statistics, for the bioinformatics track, or for students holding a multidisciplinary double degree in Mathematics and Life Sciences, or a degree in mathematics, physics, or from engineering schools (e.g., agricultural, veterinary, or biotechnological), and possessing sufficient knowledge in molecular, cellular, and genetic biology, for the computational biology track.
In both cases, prior experience with programming, for example within a previous multidisciplinary program (such as the bioinformatics track in the third year of undergraduate studies at Université Côte d'Azur), is a significant advantage. The track is also open to those new to programming with a strong interest in computer science, with a tailored curriculum.
Application
Conditions of application
The application file must include 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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