Friday, 31 March 2017

Interdepartmental master of science degree in quantitative and computational biology: application are now open

deadline 7th June 2017

Versione stampabile

The Master of Science degree in Quantitative and Computational Biology 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 in 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. 

The 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.

The course consists of two tracks "Biotechnological Track" and "Computational Track". Admitted students will follow one of the two tracks based on  their educational background acquired in previous studies. The two different tracks offer the opportunity for students to integrate their background based on their first-level degree and individual  preparation. In the first, second and third semesters students will follow different courses with a focus on biotechnological or computational topics. The fourth semester is entirely dedicated to the preparation of the thesis, with a rotation system among research groups.

Deadline for application is 7th June, 2017 at 1 pm.

Further information at