Degree awarded
Master of Science – “Laurea Magistrale” – in Quantitative and Computational Biology
Workload
120 ECTS
Duration
2 years
Starting Date
September each year
Tuition Fee
EU:
340€-3,400€*
Non-EU:
1,000€-6,500€**
Location
Trento, Italy
*Fee range based on personal income and merit.
**Fee range based on merit only, i.e. score in the application evaluation.
About the programme
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 a high level of interdisciplinarity.
Career opportunities
Graduates in Quantitative and Computational Biology will be trained to build the following professional profiles:
- Biotechnologist
- Computational Biologist
- Bioinformatics
- Biologists data and systems biology analyst
The profiles are characterized by a set of shared competencies, to which are added specific expertise in the field of biotechnology, information technology, and/or mathematics and physics.
Graduates, trained for the above-mentioned professions, will be able to use biological data publicly available and to work closely with biologists, clinicians, pharmacologists, engineers, epidemiologists in experimental research and pre-clinical context, in analysis/hospital laboratories, by using a common language.
The professional perspective of the graduates is in the context of public and private research centers, pharmaceutical, food, and biotechnology companies, as well as in advanced medical investigation laboratories.
Admission
Application deadlines
(check online for updates)
Requirements
- Bachelor’s degree in: Biotechnology L-2 (1), Information Engineering L-8 (9), Life Sciences L-13 (12), Science and agro-food technologies L-26 (20), Sciences and chemical technologies L-27 (21), Sciences and pharmaceutical technologies L-29 (24), Physical Sciences and Technology L-30 (25), Information Sciences and Technology – L-31 (26), Mathematical Sciences L-35 (32)
- the Bachelor’s degree study plan and/or a curriculum studiorum must include knowledge and competences in informatics, mathematics, physics, chemistry and biology
- B2 English language qualification
How to apply
Please get in touch to receive instructions about the application process.
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