The Master in Bioinformatics trains students capable of developing and implementing computational and statistical tools to solve biological problems. It provides teaching in genetics, physics, molecular phylogenetics, computer science and statistics. It develops skills in software development and data analysis (pathway DLAD), or in systems modelling (pathway Computational and Mathematical Biology, CMB).

The Master in Bioinformatics provides an interdisciplinary training encompassing biology (genomics, proteomics, phylogeny), computer sciences (programming, software engineering) and mathematics (dynamical systems, probabilities and statistics). It includes a 2-year training in Computational and Mathematical Biology (CMB) entirely taught in English, and oriented towards dynamical modelling of biological systems.

Training web pages :

• https://formations.univ-amu.fr/ME5SBI.html
• https://bio-sciences.univ-amu.fr/master-bio-info
• https://sciences.univ-amu.fr/master-cmb

The training recruits holders of a bachelor's degree in life sciences or a professional bachelor's degree related to the field (genetics, bioinformatics), and candidates who have completed a course of study in life sciences; (employees, job seekers) with a background considered equivalent by the educational commission.

The course comprises two separate pathways from the M1 / This Master combines two distinct orientations:

1. Software development and data analysis, which leads to the roles of bioinformatician-developer and bioinformatician-analyst.
2. Computational and Mathematical Biology, entirely taught in English, which combines courses of mathematics, computer sciences and biology, providing an interdisciplinary for the modelling of complex biological systems.

Software Development and Data Analysis (DLAD) course. Students will gain interdisciplinary training in biology, computer science and statistics. Biological applications will include the analysis of genetic, pigmentary, transcriptomic, proto-omic, volitional, and polymorphic variation data. Computer science training will include courses in programming, system administration, software engineering, training in good practices for reproducibility of scientific results, development of bioinformatics resources (databases, analysis tools) and deployment of interfaces for these resources. Biostatistics will cover statistical inference, multidimensional data analysis, sequence modelling, and machine learning.

Biostatistics will cover statistical inference, multidimensional data analysis, sequence modelling, and machine learning.

Computational and Mathematical Biology (CMB) course. This Master orientation will be open to an international audience and entirely taught in English. The training will be oriented towards mathematical modelling and computer-based analysis of biological systems. The Master CMB will also be accessible to students with a Bachelor level in mathematics or computer sciences, with distinct course contents. CMB students from Life Sciences will follow courses in mathematics, programming, probabilities and statistics, interdisciplinary courses in modelling of dynamical systems, as well as the main fields of applications of the research institutes involved -developmental biology, neurosciences, and immunology.

Software Development and Data Analysis course:

To develop a multidisciplinary approach that integrates concepts and methods from biology, computer science, mathematics and statistics in order to decipher the mechanisms involved in the functioning and evolution of living organisms. This will include:

• Knowing how to analyse genetic data of different kinds to extract relevant information, and interpreting the results in terms of biological mechanisms or applications (medicine, agriculture, biotechnology)
• knowing how to develop an original IT tool following the best practices of the field (collaborative programming, version management, documentation of code and usage modes) ;

Course “Computational and Mathematical Biology (CMB)” :

At the end of the Master, students should be able to elaborate mathematical models and computer approaches to simulate the dynamical behaviour of biological networks, predict the impact of perturbations of the network topology, and identify the key elements enabling to modify system properties. They will also be able to interact with scientists from the different disciplines (mathematics, computer sciences, life sciences), take an active part to interdisciplinary research projects, and produce an oral presentation or a written report of scientific results.

• M1 : tutored project (6 weeks) in a research laboratory or platform, under the co-supervision of researchers (biologists or bioinformaticians) and bioinformatics teachers
• M2 : internship (6 months) in a research laboratory, in a company, or on a technological platform.

Web pages with proposals for internships in the DLAD course:

• M1 DLAD: https://sciences.univ-amu.fr/en/master-1-bioinformatics-dlad-internship-proposals
• M2 DLAD: https://sciences.univ-amu.fr/en/master-2-bioinformatics-dlad-internship-proposals

The specialisation &ldeacute;nie

The specialisation “Computational and Mathematical biology” will provide the background in mathematics and computer sciences required to model complex biological systems.

The persons in charge of the mention carry out a follow-up of professional insertion of the graduates of the last 5 years. The current rate of professional integration is 73% three months after the diploma, 95% after 2 years...

Our students benefit from the exchange opportunities of the ERASMUS programme and we welcome, within the framework of this programme, European students in M1 and M2. In addition, we develop and maintain exchange agreements with several foreign universities.

In accordance with national regulations, the Master sets up a selection process for all students applying for registration. Admission to Master 1 depends on the capacity of the institution and is subject to an examination of the student's file and, depending on the case, an interview.