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WELCOME
A truly interdisciplinary learning experience
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While biological data exhibits a formidable
diversity, the past two decades have seen the advent of massive data
produced either by high throughput experiments or by measurement
devices of increasing accuracy at very different scales ranging from
nano to macro. Handling these massive and complex data within a
virtuous cycle linking modeling and measurements is one of the major
challenges in Computational Biology.
To take up this challenge and foster new
discoveries in biology and new applications in medicine, the ambition of Master of
Science in Computational Biology is to provide a
state-of-the-art training geared towards computational biology in
computer science, applied mathematics and statistics to address
biological and medical problems: This is a truly interdisciplinary learning
experience.
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The scientific goal of this program is to focus on the human being from different
perspectives (understanding and modeling functional aspects or
interpreting biomedical signals from various devices) and at different
scales (from macro-level to micro-level).
The aim of this program is to provide
excellent academic or industrial career opportunities by offering high
level coverage of modeling and
computing principles that will enable the challenges to be met
and make tomorrow's technological choices in biological, medical
computing domains. To achieve this, classes will be given by several
outstanding professors and researchers from the research institutes
present in the campus: Nice Sophia Antipolis University/CNRS (I3S,
IPMC, LJAD, INLN) and INRIA.
Teaching language: English
Website: http://www.computationalbiology.eu
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