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MSc Mathematical Sciences for Biomedical Data and Biophysics

Université Côte d'Azur
2 years
Master's degree
Scholarships available
On campus
Inquire for more information
MSc in Mathematical Sciences for Biomedical Data and Biophysics

Program description

MSc in Mathematical Sciences for Biomedical Data and Biophysics

The human genome contains 3 billions nucleotides and this code is read by each of the 3.7 1013 cells present in our body to perform a plethora of molecular, cellular and physiological functions, many of which are impaired in disease states.This complexity is increasingly explored by biologists using high throughput technologies which produce an unprecedented amount of data. The analysis, interpretation, integration and usability of this exponentially growing information have consequently become major issues for biology and medicine in the XXIst centrury. Within this context, computational biology is a fast developing multidisciplinary approach that combines methodologies stemming from mathematics, physical sciences and computer sciences to address these new challenges and ultimately understand the complexity of biological systems and diseases.

Université Côte d’Azur (UCA) is strongly committed to research with more than 4000 persons involved in top ranked laboratories. UCA was awarded in 2016 the prestigiousIDEX governmental grant to accelerate the development of pluridisciplinary research. With the presence of five large Research Institutes of Biology (iBV, C3M, IPMC, IRCAN and ISA) together with the Math Department (LJAD),  two large Computer Science Institutes (INRIA and i3S) and the institute of physics (InPhyNi) students will learn computational biology in a cutting edge, dynamic and open scientific environment.

Prospective students with a background in mathematics, physics or computer sciences will be trained to tackle computational biology problems in a scientific, evidence-based manner as well as have the opportunity to gain experience working in a true multidisciplinary mindset. To this end, every student will be immersed in multidisciplinary research through intense problem-solving and project-based learning as well as continuous collaboration with researchers developing computational biology projects at UCA.

Admission requirements

Students who apply to this program must be fluent in English (CECRL level B1) and have an established background in Mathematics, Physics or Computer Science for example, with a bachelor's degree or a license (French undergraduate degree) in a relevant field.

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Program content

First Year (M1)

Semester 1

  • Biology
    • Basics in cell and tissue biology
    • Advanced cell and tissue biology
  • Bioinformatics
    • Introduction to biological database organization and digging; nucleic acid and protein structure and functions
    • Algorithms for Computational Biology
  • Data Science
    • Processing large datasets with Python
    • A general introduction to data mining
  • Systems Biology and biophysics
    • Systems biology modeling biochemical networks - deterministic approaches
    • Structural bioinformatics & biophysics
    • Biophysics: physical biology of the cell
  • Misc
    • Methodological approaches
    • Scientific communication
    • Ethical issues and laws

Semester 2

  • Bioinformatics
    • Genome assembly and annotations
    • Read mapping and counting
    • Detecting and analyzing genetic variations
  • Data Science
    • Machine learning: from theory to practice
    • Theory of statistical learning
    • Model selection and resampling methods
  • Systems Biology and biophysics
    • Stochastic approaches to model biochemical networks
    • Fundamentals of bioimage informatics
    • Techniques for the acquisition of Biodata
  • Biology
    • Conference series

Second Year (M2)

Semester 1

  • Bioinformatics
    • The genome in action: from bulk to single cell analyses
    • The genome in action: epigenomics
    • Multiomics: combining heterogenous data & application to cancer genomics
  • Data Science
    • Statistical learning
    • Statisctical analysis of graphs
    • Signal processing
  • Systems Biology and Biophysics
    • Application cases
    • Methodological advances

Semester 2

  • Internship: 6 months project in research laboratory

Tuition fees

Tuition fees are 4000€ per year for non-EU students.

Fees for French and EU students depend on the household income of the parents, from 300€ up to 4000€.

Scholarships & funding

Merit-based scholarships may exceptionally be allocated by the admission committee on the basis of the excellence of the student. Financial support may be provided for the internship's international mobility.


Our approach is to propose a coherent set of courses in the fields of Mathematics, Physics and Computer Science dedicated to the study of biological systems and data. Upon completion of the training, students will master relevant theoretical and methodological concepts in areas ranging from:

  • Mathematical and computational methods
  • Bioinformatics
  • Modelling approaches to study biochemical and biophysical processes in cell and tissues
  • Analysis and interpretation of large datasets generated by high-throughput technologies (omics, single cell, imaging, signals)

Career opportunities

After completion of this 2 years Master training in computational biology at UCA, graduated students will have opportunities to work either as research scientists in the academic field or as R&D engineers in private pharma and biotech companies, CRO or large hospitals.

Their multiple skills profile will help them to apply to a variety of jobs worldwide in areas ranging from:

  • Mathematical modelling and simulation
  • Systems biology and bioinformatics
  • Software development
  • Systems biology and bioinformatics
  • Machine learning
  • High dimensional datasets processing and analysis
  • NGS data analysis
  • Multiomics and data integration
  • Mining genomic and clinical data
  • Development of algorithms to analyze genomics data
  • Drug discovery and safety assessment
  • Human genetics and pharmacogenomics
  • Precision medicine
  • e-medicine applications
  • Diagnosis

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About this institute

Université Côte d'Azur

Université Côte d'Azur

Université Côte d’Azur (UCA ) is a recently created cluster of higher education establishments on the French Riviera that brings together the major players in higher education and research on the Côte d’Azur. Université Côte d’Azur aims to develop a...

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Contact info

Université Côte d'Azur

28 Avenue de Valrose
Parc Valrose
06103 Nice

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