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University of Trento

Quantitative and Computational Biology

Award Attendance Study Duration Start Domestic fees International fees
MSc On-Campus Full-time 2 September find out €2959 per year
Course fee notes

For EEA students the fee amount ranges from 0 to 2.959 euros, according to the student's family economic condition. For non-EEA students the fee amount ranges from 0 to 6.500 euros according to the student's performance (for top scored admitted candidates fees are waived).

About Quantitative and Computational Biology, MSc - at University of Trento

The Master of Science in Quantitative and Computational Biology (QCB) is a multidisciplinary degree that formally integrates quantitative sciences and applied biology, thanks to the involvement of the following organizations at the University of Trento:

CIBIO, Centre for Integrative Biology

Department of Physics

Department of Mathematics

Department of Information Engineering and Computer Science

The course focuses on a strategic area where technology and methodology enable students to face essential questions at the interface between fundamental research and clinical and pre-clinical areas, through analytical and quantitative approaches.

The course is designed to capture the increasing need for researchers and experts able to transform the enormous amount of biological information ('big data') into knowledge and to gain quantitative insight into the behaviour of biological systems by means of bio-mathematical and bio-physical models.

Key target areas include pharmacogenomics, biotechnology, food science, and precision medicine, which represent applied research fields where the growing availability of multidimensional data demands high interdisciplinarity.

The QCB course is designed to train experts in biotechnology, computational biology, bioinformatics and biological data and systems biology analysis, who will have the opportunity to learn in a multidisciplinary context, interacting with students with different experiences. Strong emphasis will be given to quantitative and computational aspects, with a focus on tools to analyze, model and understand biological systems and phenomena.


Entry requirements for this course

Contact University of Trento to find course entry requirements.


View all courses at University of Trento

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