Master of Science in Bioinformatics
It took 13 years and 3 billion dollars to decipher the human genome. Today, sequencing a whole genome takes but a few hours on a machine that fits on a tabletop at a tiny fraction of the original costs. Similar technological revolutions are underway in biological imaging, mass spectrometry based proteomics and metabolomics, or ecological remote sensing, just to name a few. Consequently, biological and medical sciences are now collecting enormous amounts of information with the goal to describe and understand how cells, complex organisms or entire ecosystems function. But this tsunami of data generates new challenges: How can we unearth and retrieve the exciting knowledge hidden in such data? How can we make such massive amounts of data available to the scientific community? A proper analysis of this trove of this data does not only require massive amounts calculation power, but also talented people with knowledge in both biology as well as in computer science and statistics to develop adequate and computationally fast analysis tools.
The Master of Science in Bioinformatics and Computational Biology is an interdisciplinary programme taught exclusively in English and jointly organized between the Universites of Fribourg and Bern. All involved departments offer outstanding conditions for research and training and highly competitive researcher-student ratios.
Master of Science in Bioinformatics and Computational Biology (BEFRI)
Language(s) of Study
90 ECTS credits
3 semesters full-time
September (recommended) or February
Dr Alessandro Puoti
The curriculum at a glance
The programme requires 60 ECTS credits from courses normally taken over 2 semesters, followed by a 6 months MSc research project and a written thesis (30 ECTS). Full time students can complete the programme in 3 semesters. Note that it is strongly recommended to start the program in the fall semester.
The first semester consits of courses specially designed to complement your existing knowledge: an introduction to programming and Linux (7ECTS) for people with a background in biology or life science, and an introduction to the fundamentals of biology and lab work (7 ECTS) for those with a background in computer science, mathematics, statistics or a related field.
Description per semester
1st Semester (fall) | 30 ECTS
Complemented by individual courses tailored to your needs (7 ECTS), students with a BSc in biology or life sciences will learn applied programming and the use of Linux from the experts (7 ECTS). Similarly, students with a non-biology scientific BSc will have hands-on experience in state-of-the-art biological methods and learn the essential aspects of biology (7 ECTS).
Both groups of students will then follow the same 16 ECTS in compulsory courses introducing statistical and computational approaches commonly used when analysing large biological data sets with a focus on data from large scale sequencing or systems biology projects.
2nd Semester (spring) | 30 ECTS
This semester focuses on the preparation, statistical analysis and interpretation of large scale biological data by applying and extending the tool acquired in the first semester.
Each student works on an individual research thesis in one of the research groups at either the University of Fribourg or the University of Bern, thus specializing in a chosen area. The master thesis can also be carried out in collaboration with one of the affiliated institutes, e.g. the Swiss Institute of Bioinformatics (SIB). Governmental and corporate institutions will also be considered as hosts.
Master's degree programmes are built on the knowledge and abilities that were acquired when obtaining a Bachelor's degree. Bachelor degrees that allow for a direct admission to the MSc in Bioinformatics and Computational Biology are:
- Life Sciences
- Informatics/Computer Science
Graduates from other academic fields (e.g. bioengeneering, pharmacy, physics, etc.) can also apply, but may be requested to make up for missing technical or general knowledge through a complement. This will be judget on an individual basis upon a request for admission
Swiss versus foreign degrees
Holders of a Bachelor's degree awarded from a Swiss university in one of the above mentioned fields can be admitted to a Master's degree programme within Switzerland without any additional requirements.
The same applies to holders of a Bachelor's degree awarded by a foreign university, provided that the Bachelor's degree is recognized and considered equivalent by the University of Fribourg. This is true for most European universities as well as many universities from around the world. If a degree is not recognized as equivalent to a Swiss degree, a comlement may be requested to make up for missing technical or general knowledge. Equivalency will be judged on an individual basis upon a request for admission
Degrees from Universities of applied sciences
MSc in Bioinformatics and Computational Biology is open to holders of a bachelor degree awarded from a university of applied sciences, but a complement of 40 - 60 ECTS will be requested to make up for missing technical or general knowledge. To maximize the benefit for the students, the required complement will be individually tailored upon a request for admission
Please refer to the admission services for detailed information regarding the admission procedure.
Learning objectives and career opportunities
Our Master programme in Bioinformatics and Computational Biology will trim you fit for a career in the life sciences, health science or in food technology, both in industry or in governmental or non-governmental organizations, as well as for a PhD in academia. Bioinformatics and computational biology have direct and highly sought applications in basic and applied research ranging from conservation biology and modeling molecular networks to epidemiology, biomedical engineering and drug design, artistic data visualization and developing human-computer interaction. Our programme further promotes the exchange and interaction with people from many different fields, which will considerably widen your job prospects in academia as well as in the private sector.