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Master in Bio-informatics and Modelling

Master in Bio-informatics and Modelling

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  • Programme title
    Master in Bio-informatics and Modelling
  • Programme mnemonic
    MA-BINF
  • Programme organised by
    • Faculty of Sciences
  • Degree type
    Master 120 credits
  • Tier
    2nd cycle
  • Field and branch of study
    Sciences and technics/Sciences
  • Schedule type
    Daytime
  • Languages of instruction
    english / french
  • Theoretical programme duration
    2 years
  • Campus
    Plaine/Solbosch
  • Category / Topic
    Sciences and technics - Sciences
  • Jury President
    Jean-François FLOT
  • Jury Secretary
    Matthieu DEFRANCE

Presentation

Details

General information

Degree type

Master 120 credits

Theoretical programme duration

2 years

Learning language(s)

english / french

Schedule type

Daytime

Campus

Plaine/Solbosch

Category(ies) - Topic(s)

Sciences and technics - Sciences

Organising faculty(s) and university(ies)
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Presentation

Addressing current biological problems—from genome sequencing to the study of biomolecular structures and the analysis of dynamical cellular processes—increasingly relies on the complementarity between experimental and theoretical approaches. These approaches allow biological systems to be analysed, modelled, and simulated on computers from the molecular and cellular scales up to entire organisms and populations. To meet this trend, this master programme trains students from various academic backgrounds into computational genomics and proteomics, structural bioinformatic, and modelling of dynamical processes. Graduates of this Master are able to use and design bioinformatics and modelling tools to address all aspects of a biological question, in close collaboration with experimental researchers.

The Master programme consists of:

  • Lecture courses
  • Practical work on computers
  • Exercise sessions
  • Personal assignments and projects

The curriculum includes:

  • An internship (in an academic or professional environment) (10 credits)
  • A Master's thesis (25 credits)

ULB has played a pioneering role in developing the new disciplines covered in this Master, and has now reached a critical number of research groups and teachers with expertise in these areas. An increasing number of research laboratories in various faculties (Sciences, Applied Sciences, Medicine, and Bioengineering) have an interest in bioinformatics and modelling. The master in bioinformatics and modelling also benefits from the existence of interfaculty and interuniversity structures such as the Brussels Interuniversity Institute of Bioinformatics - (IB)(https://ibsquare.be/), which gathers bioinformaticians both from VUB and ULB.

The curriculum offered by the ULB for this Master covers all areas of modern bioinformatics and modelling. Areas of applications include genome analysis, epigenetics, rational drug design, modelling of genetic and metabolic networks, synthetic biology, as well as the treatment of large data sets ("big data").

The sector of academic research as well as innovative pharmaceutical and biotechnology companies are seeking to recruit young scientists with benefit from this type of training. This tendency, started several years ago, has been continuously gaining in importance.

The Master in Bioinformatics and Modelling has academic and industrial partnerships at the national and international levels that enable student exchanges (e.g. as part of the Erasmus programme) and internships. Students have the opportunity to spend one or two semesters in a foreign university.

Access conditions

Programme

The Master in Bioinformatics and Modelling is an interdisciplinary programme that enables students to master and develop bioinformatic tools and modelling approaches to address biological questions. The curriculum is organised around 3 main topics: (1) genomics, proteomics, and evolution, (2) biophysics and structural bioinformatics, and (3) modelling dynamical systems in biology.

What's next ?

Prospects

The Master in Bioinformatics and Modelling enables graduates to adapt to a variety of jobs in many fields of activity. Upon completing the programme, they can pursue careers in the industrial sector (pharmaceuticals, biotechnologies, food, etc.) or in the public sector (environment and sustainable development, quality control, biosecurity, scientific outreach), or remain in the academic sector (teaching and research in secondary or post-secondary schools).

Whatever direction the graduates decide on, their interdisciplinary training will be a major asset.