MSc in Bioinformatics for Computational Genomics
Milan, Italy
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 3,898 / per year *
STUDY FORMAT
On-Campus
* tuition fees for Non-EEA students correspond automatically to the full contribution of 3898,20€; tuition fees for EEA students range from about 895,20 € to 3898,20 € per year
Key Summary
The Master Degree ("Laurea Magistrale") in “Bioinformatics for Computational Genomics” is a joint initiative of the University of Milano and the Politecnico di Milano, and will be activated starting from the Academic Year 2019-2020.
Overall, it aims to form "genome data scientists", that is, graduates that will have an adequate knowledge about the molecular basis of biological systems; the structure and function of biological molecules and how they participate in cellular processes; the technologies and platforms for the analysis of genomes; the tools for bioinformatics and genomic analysis; and the statistical and computational methodologies for the analysis of biomolecular data.
Mission and Goals
The joint Master Degree in “Bioinformatics for Computational Genomics” (B.C.G.) of Politecnico di Milano and Università Degli Studi di Milano aims to give its graduates an adequate knowledge on the molecular basis of biological systems; the structure and function of biological molecules and how they participate in cellular processes; the technologies and platforms for the analysis of genomes; the tools for bioinformatics and genomic analysis; and the statistical and computational methodologies for the analysis of biomolecular data.
Therefore, the B.C.G. degree includes activities providing in-depth knowledge on:
- The organization of information in the genome and the molecular and cellular processes at the basis of gene expression and its regulation.
- The experimental methods used for studying genes and their function in different model species, both prokaryotic and eukaryotic.
- The technologies employed in modern genomic research.
- Methods and protocols of bioinformatic analysis in functional genomics studies.
- Algorithmic, mathematical and statistical approaches underlying bioinformatics and genomic analysis tools.
- Database technologies for the storage and organization of the data.
- Modeling and analysis techniques employed in systems biology for the study of interactions in complex biological systems.