M1&M2 - Parcours Bioinformatique & Modélisation (BIM-BMC)

Current issues in biology and medicine require skills at the interface of computer science and mathematics. To acquire a high level of expertise in these fields, the 'Molecular and Cellular Biology (MCC)', 'Computer Science' and 'Mathematics and Applications' Master's courses offer a curriculum built around a multidisciplinary approach. This 'Bioinformatics and Modelling (BIM)' pathway is aimed at students from a variety of initial training backgrounds, including life sciences, computer science and/or mathematics, offering them common content and teaching that is adapted to their original course of study. Our teaching objective is to reach the heart of the concepts, methods and techniques needed for computer and mathematical modelling of biological systems.

M1&M2 - Parcours Bioinformatique & Modélisation (BIM-BMC)

Organisation of training

We offer a complete programme consisting of an integrated two-year course, M1 and M2, with entry from the first year for students with a bachelor's degree in biology or an equivalent diploma. The multidisciplinary core of this master's-level programme is provided by a set of teaching units common to the various master's courses. Teachers specialising in each of these disciplines present the fundamentals of their field as well as the applications at the interfaces. The primary aspects of these courses are :

  1. a course in fundamental biology ;
  2. refresher courses in computing, mathematics and statistics in M1
  3. joint courses for biology, computing and mathematics students in M1 and M2
  4. specialised courses designed and presented by teachers from different disciplines, to answer the same biological question in M2

Answers to the most frequently asked questions can be found on our FAQ page (at the bottom of this page).

 

The first year of the Master's degree in the BIM-BMC specialisation (M1) comprises 5 Teaching Units (TU) of 6 credits (ECTS) per semester. One ECTS corresponds to 10 hours of teaching. The courses present the fundamental concepts of computer science, statistics and mathematics related to fundamental questions in biology. These courses are organised around UEs common to biology and computer science students (indicated hereafter with an asterisk *) and courses specific to biology or computer science students.


First Semester (S1)

♦ Biology EU

  • 1- Regulation of gene expression: transcription, translation and protein degradation –  MU4BM005
  • 2- Genome structure and function – MU4BM007
  • 3- Systems Physiology – MU4BI030

The E.U. MU4BM005 and MU4BI030 are mutually exclusive and therefore optional.

♦ Computing EU

  • 4- Methods and Algorithms for Probability and Statistics in Computer Science –  MAPSI/MU4IN601 *
  • 5- Algorithms on trees and graphs in bioinformatics –  AAGB/MU4IN700*

Including a section on Programming in C specifically for biology students

♦ EU Mathematics

  • 6- Discrete and continuous dynamical systems in biology and medicine –  MU4MA062 *

 


Second Semester (S2)

♦ Biology EU

  • 1- Nucleic acids: from the single molecule to the cell –  MU4BM118 *

♦ Computing EU

  • 2- Advanced programming in Python –  MU4BM748
  • 3-Statistics in bioinformatics and sequence algorithms –  SBAS/MU4IN701*

♦ EU Mathematics

  • 4- Mathematical and computational models in neuroscience –  MMCN/MU4IN702 *

♦ "English"

♦ Professional integration
Professional integration is a joint course for biologists and computer scientists, the aim of which is to help them prepare their career plans and gain a better understanding of the needs and expectations of the job market.


For a detailed description of the BIM study programme
The course described is aimed at students with a background in biology, computer science, mathematics or physics.

For a detailed description of the BIM curriculum
The program is designed for students from a background in biology, computer science, mathematics or physics.

The second year of the "Bioinformatics & Modelling" Master's degree (M2) comprises 2 Teaching Units (TUs) of 6 ECTS and 4 TUs of 3 ECTS. The first semester is supplemented by an introductory course of 6 ECTS. An internship of 30 ECTS takes up the entire second semester. As in M1, teaching is organised around courses common to biology and computer science students (indicated by an asterisk *) and courses specific to biology or computer science students.

The first semester is preceded by a refresher week in the form of an interdisciplinary workshop covering the mathematical and physical concepts used in systems biology. This workshop, which is not compulsory, is strongly recommended for those who are not completely at ease with mathematical concepts.


First Semester (S3)

♦ UE specific to biology students

  • 1- Structure, dynamics and evolution of genetic networks - BIOSYS/5BM732 (3 ECTS)

♦ UE common to biology and computer science

  • 2- Population genetics – GPOP/5IN752* (3 ECTS)
  • 3- Biological networks and systems biology – RESYS/5IN754 * (3 ECTS)
  • 4- One teaching unit of 6 ECTS to be chosen between :     
    Statistics for classification and data mining in genomics – SPLEX/5IN753 *
    or Algorithms in structural bioinformatics: proteins and RNA – STRUCT/5IN755 *. 
  • 5- "Phylogeny and comparative genomics: mathematical methods and algorithms" – PHYG/5IN751 (6 ECTS)
  • 6- "From sequence data to evolutionary genetics" – GENOM/5BM733 (3 ECTS)

♦ Opening UE
All proposed UE of 3 ECTS in M1 or M2 on or off campus are eligible as introductory UE, defined in agreement with the course leader. The introductory UE may be particularly aligned with a UE in M1 or M2 (Computer Science, BMC or BIP), or to a specialisation workshop (BMC). However, it is important to ensure that the UE chosen is compatible with the timetable. The "Bioinformatics & Modelling" specialisation has the following introductory UE:

  • 7- MEET-U 5IN757

Second Semester (S4)

The second semester is devoted to a 6-month work placement in a laboratory or company focusing on the themes of the Bioinformatics & Modelling specialism.

For a detailed description of the BIM curriculum   
The program is addressed to students from a background in biology, computer science, mathematics or physics

Job opportunities

Laboratories and companies in all areas of the life sciences are keen to recrute people with knowledge and skills at the interface between biology, computer science and mathematical modelling. This course enables students to go on to do a thesis or enter the job market as an engineer or design engineer. The course prepares students for academic research in laboratories in the fields of genomics, pharmaceuticals, medicine, ecology, etc., but it also trains them for work in companies, in the context of research and development (pharmaceuticals or biotechnologies), software development services specialising in the life sciences, etc.

The course is designed for students with a background in biology, computer science, mathematics or physics.

Target audience

The BIM-BMC course is aimed at biology students with a good knowledge of computer science and mathematics. Students should be able to demonstrate a general background in computer science, including an understanding of algorithms and programming (variables, tests, loops and arrays), and a solid grasp of basic mathematics (logic, algebra, analysis and probability).

This page lists the most frequently asked questions about the 'Bioinformatics & Modelling' speciality in the 'Molecular and Cellular Biology' field.

Where should I apply, BIM-BMC or BIM-Info?
Students in biology, computer science or mathematics can join this speciality by applying for the relevant subject, BMC (BIM-BMC) for biologists and Computer Science (BIM-Info) for computer scientists.
 For the latter, the teaching managers are Alessandra CARBONE and Martin WEIGT.

I don't see the "Bioinformatics & Modelling" speciality in the application form. For the "Molecular and Cellular Biology" Diploma/Major, only the "traditional pathway" is available?
This is perfectly normal. The easiest way is to indicate (by hand) on the application form that you are applying for the "Bioinformatics and Modelling" speciality.

Are there any pre-requisites for enrolling in BIM-BMC?
 A solid foundation in programming is strongly recommended for the M1. Mathematical and statistical concepts are also necessary to tackle modelling issues.

Can I apply directly for M2?
 You are perfectly entitled to apply for the M2 BIM-BMC if you wish. However, the Master's programme has been designed to be integrated over two years, so that in M1 you can reinforce the concepts that biologists lack in computer science, statistics and mathematics. In fact, biology and bioinformatics students are together in 90% of the M2 courses. We therefore need to be able to keep up with the level of computer science and modelling required.

If at the end of the M1 BIM-BMC I no longer wish to continue in M2, what will happen?
During M1, you will take biology courses that will enable you to apply for an M2 BMC if you wish. These courses are mainly associated with the genetics speciality, but you are not locked into a 2-year course if you wish to leave it.

Can I do an internship in M1 BIM-BMC?
Due to the large amount of training required to achieve a high level in biology, computer science and modelling, it is not possible to do an internship in the second semester of M1. However, the second semester ends fairly early, and an internship is possible if you can complete an optional 2-month placement during the summer to experience the reality of your chosen profession.

How are foreign students recruited?
Sorbonne University uses the "Campus France"
procedure to admit foreign students from countries with a Campus France space (see list on the Campus France website). Check the website regularly and early enough in the year, as the procedures for obtaining visas, for example, come early. For countries outside Campus France, see the dedicated page.

In what language are the BIM-BMC courses taught?
 All M1 courses are taught in French. M2 courses may be taught in English.

For a detailed description of the BIM study programme
The course designed for students with a background in biology, computer science, mathematics or physics.

Contacts

Secrétariat pédagogique

Carine Joseph

Département de formation : Master Biologie moléculaire et cellulaire (BMC)
Faculté des Sciences et Ingénierie - Sorbonne Université

Campus Pierre et Marie Curie
Bâtiment C, 1er étage, pièce 106
4 place Jussieu, 75252 Paris cedex 05

Responsables pédagogiques

Responsable pédagogique M1
Pr. Philippe Lopez

Responsable pédagogique M2
Pr. Ingrid Lafontaine