Master in Bioinformatics

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The Master's in Bioinformatics trains students to develop and implement computational and statistical tools to solve biological problems. It provides teaching in genomics, proteomics, molecular phylogenetics, computer science and statistics. It develops skills in software development and data analysis (the DLAD specialisation), or in systems modelling (the English-taught Computational and Mathematical Biology, CMB specialisation).

The Master's in Bioinformatics provides interdisciplinary training encompassing biology (genomics, proteomics, phylogeny), computer science (programming, software engineering) and mathematics (dynamical systems, probability and statistics).

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.

• SCIENCES, Marseille Luminy

Software Development and Data Analysis (DLAD) programme. Students will receive interdisciplinary training in biology, computer science and statistics. Biological applications will include the analysis of genomic, epigenomic, transcriptomic and proteomic data, as well as evolutionary data and polymorphic variations. The computer science component will be based on courses in programming, systems administration and software engineering, training in best practice for the reproducibility of scientific results, the development of bioinformatics resources (databases, analysis tools) and the deployment of interfaces for these resources. Biostatistics will cover statistical inference, multidimensional data analysis, sequence modelling and machine learning.

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: supervised project (6 weeks) in a research laboratory or facility, under the joint supervision of researchers (biologists or bioinformaticians) and bioinformatics lecturers
• M2: work placement (6 months) in a research laboratory, a company, or at a technology platform.

After the Master 2, students can start a PhD in the same field or go on to a complementary M2 course. The young graduate can also enter directly into the world of work and occupy one of the jobs listed in the Master's section.

The Master mention has established important links with about twenty companies and public research institutes with technological platforms. These links are particularly concrete through the reception of students on internships. In addition, the involvement of people from the private sector in our professionalization courses allows students to build and finalize their professional project. Actors from the socio-economic world also play an important role in the development and improvement of the educational content of the Master's programme through the development council.

• PRSBI5C1 Computational and Bioinformatics Analysis
• PRSTV5T1 Computer science accelerated curriculum

For the “Software Development and Data Analysis” programme, the core curriculum will provide a solid foundation in computer science, statistics, genomics and molecular phylogenetics. Each student will also be able to further their knowledge of computer science or genomics by choosing optional modules.

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.

sciences-luminy-scol-lp-masters-b@univ-amu.fr

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.