The Master of Science (Laurea Magistrale) 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 at the interface between fundamental research and clinical and pre-clinical areas, through analytical and quantitative approaches.
The course - entirely taught in English - 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 behavior of biological systems by means of bio-mathematical and biophysical 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 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.
Teaching activities include lectures, laboratory courses, and seminars. The master of science thesis will be carried out during the second semester of the last year.
Students will have the chance to carry out research projects within the University of Trento organizations involved in the Master’s Degree, at other Italian or European Universities, or in industries operating in the biotechnology, bioinformatics, and computational areas.
Admitted students will follow one of the four tracks based on their educational background acquired in previous studies. The four 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, or physical topics. The fourth semester is entirely dedicated to the preparation of the thesis, with a rotation system among research groups.