Program Overview

Master's Program in Bioinformatics

The Master's program in Bioinformatics at the University of Lyon 1 is designed to provide students with a comprehensive education in the field of bioinformatics, with a strong emphasis on methodology and practical applications.

Program Description

The program is positioned at the interface of four disciplines: bioinformatics, computer science, biochemistry, and biostatistics/biomathematics. It offers a balanced approach to academic education and professional training, with a focus on hands-on learning and a wide range of projects.

Program Structure

The program is divided into three blocks of competencies, with complementary teachings that allow students to develop their soft skills, particularly in communication and professional integration.

• Block 1: Analyzing and Modeling Biological Data
  • Basics of molecular bioinformatics (mandatory)
  • Methods for analyzing genomic data (mandatory)
  • Methods for analyzing transcriptomic data (mandatory)
  • Methods for analyzing proteomic data (mandatory)
  • Structural bioinformatics (mandatory)
• Block 2: Managing and Visualizing Biological Data
  • Databases for bioinformatics (mandatory)
  • Advanced Python programming for bioinformatics (mandatory)
• Block 3: Designing Methods/Pipelines for Data Analysis
  • Mathematical and statistical practice for bioinformatics (mandatory)
  • Probabilistic modeling in bioinformatics (mandatory)
  • Bioinformatics project 1 (mandatory for initial training students)
  • Bioinformatics project 2 (mandatory for initial training students)
  • Company/laboratory internship 1 (mandatory for initial training students)
  • Missions in a professional environment 1 (mandatory for alternating students)

Soft Skills

• English for professional communication (mandatory)
• Professional posture (mandatory for alternating students)
• Business behavior, preparing applications, knowing the job market, project management, and business management, or labor law and business creation (one mandatory choice for initial training students)

Formation Initiale

In initial training, the training program is completed by two long projects carried out in small groups (2 x 150 hours) and by a laboratory or company internship lasting at least 2 months. The projects and internship will allow the learner to begin specializing in one or more of these areas of competence and to develop skills in project management, communication, and group work.

Alternance

In the context of an alternation, the missions carried out in the company replace the two long projects and the internship planned in the initial training. These missions will allow the alternating student to begin specializing in one or more of these areas of competence and to develop skills in project management, communication, and group work.

Further Studies

Unless exception, all students who validate the M1 continue in M2 within the master's program.

Evaluation Methods

The methods for evaluating skills and knowledge are diversified (written exams, oral exams, practical work, projects carried out alone or in groups, internship reports, internship defenses, etc.).

Specificities and Prerequisites

• Having a solid project.
• Having followed statistics courses in the previous curriculum.
• Having knowledge in bioinformatics and mastering a programming language is a plus.

Target Audience

Students admitted to the M1 are mostly from Life Sciences, Computer Science, and Health Sciences licenses or equivalent diplomas. The admission of students from a Mathematics license or students engaged in health courses is also possible, provided that the professional project is solid.

Program Responsibilities

The program is managed by Vincent Lacroix and Arnaud Mary.

Academic Responsibility

The UFR Biosciences (Biology, Biochemistry) is responsible for this training.

List of Teaching Units (UE)

• Year 1
  • List of Teaching Units Stage:
    • Company/laboratory internship 1: [UE Libre] semester: 1 - NB Credits: 9 - Stages of 8 weeks: Spring semester

Indicators and Statistics

Surveys are conducted by the Statistical Support Pole for Training and Student Life Management.