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Masters Program in Bioinformatics in Belgium

See Masters Programs in Bioinformatics in Belgium 2019

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.

 

Bioinformatics deals with the application of computer approaches to make sense of biological systems. It has become a key focus for industry, especially in the post-genomic age.

Belgium, officially the Kingdom of Belgium, is a federal state in Western Europe. It is a founding member of the European Union and hosts the EU's headquarters as well as those of several other major international organisations such as NATO.

Top Master Programs in Bioinformatics in Belgium 2019

3 Results in Bioinformatics, Belgium

Master in Bioinformatics and Modeling

Université Libre De Bruxelles
Campus Full-time 2 years September 2019 Belgium Brussels

The Master in Bioinformatics and Modelling enables graduates to adapt to a variety of jobs in many fields of activity. Upon completing the program, 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).


Master of Statistics by Distance Learning

Hasselt University
Online Full-time Part-time 2 years September 2019 Belgium Hasselt Diepenbeek + 2 more

One of the principles we are bearing in mind when setting up the Distance program is to keep it as close to the On-Campus program as possible, not only its content and teaching methods but also the way of assessing students.


Master of Statistics

Hasselt University
Campus Full-time 2 years September 2019 Belgium Hasselt Diepenbeek + 1 more

The master program combines a solid study of principles of applied and biostatistics with up-to-date information on topics such as clinical trials, public health, longitudinal data, survival analysis, genetics, survey methodology.