MASTER DEGREE IN BIOINFORMATICS FOR COMPUTATIONAL GENOMICS
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 has been 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 bioinformatic and genomic analysis; and the statistical and computational methodologies for the analysis of biomolecular data.
The BCG degree therefore 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 bioinformatic and genomic analysis tools
- data base technologies for the storage and organization of the data
- modelling and analysis techniques employed in systems biology for the study of interactions in complex biological systems.
Programme description: https://apps.unimi.it/files/manifesti/eng_manifesto_F4Bof1_2021.pdf
- Degree classification - Denomination and code: LM-8 Industrial biotechnologies
- Degree title: Master Degree
- Course duration: 2 years
- Credits required for admission: 180
- Total number of credits required to complete programme: 120
- Access procedures: Limited enrollment (50 places for 2019-20 and 2020-21) with admission test
- Course code: F4B
Students can apply to the BCG Master degree course, provided that they satisfy one of the following two requirements:
- they have completed a bachelor degree program (Laurea Triennale) in one of the following classes:
- Biotechnology (class L2);
- Biology (class L13);
- Agriculture and Food Sciences (class L26);
- Pharmacological Sciences (class L29);
and during their studies they have acquired at least 30 CFU in biological areas (SSD BIO) with at least 18 CFU in Genetics (BIO/18), Molecular Biology (BIO/11) and Biochemistry (BIO/10)
they have completed a bachelor degree program (Laurea Triennale) in one of the following classes:
- Information Engineering (class L8);
- Physics (class L30);
- Computer Sciences (class L31);
- Mathematics (class L35).
and during their studies they have acquired at least 30 CFU in the areas of computer science, information engineering, biomedical engineering, mathematics and/or statistics (SSD INF/01, ING-INF/05, ING-INF/06, MAT/01-09, and/or SECS-S/01), with at least 6 CFU in mathematics (MAT/01-09) and at least 12 CFU in one or more of the following areas: computer science (INF/01), information engineering (ING-INF/05), biomedical engineering (ING-INF/06), statistics (SECS-S/01).
The same criteria are applied to candidates in possession of foreign university degrees, deemed to be suitable by the Teachers Council, in which it is possible to clearly identify disciplines and number of credits acquired for each discipline. If this is not possible, the documents certifying the career of the candidates will be examined in detail by the Teachers Council in order to assess if their background complies with the previous requirements.
Foreign (non EU) Students
Students in possession of a Bachelor degree in an area of those described at the previous point (Admission for Italian Students), where courses taken in the required disciplines can be clearly identified together with the amount of hours/credits of the courses. If this is not possible, the documents certifying the career of the students will be examined by the Teachers Council in order to assess if their background complies with the previous requirements.
Students must be proficient in English, with a B2 level of competence. In exceptional cases, students without a B2 placement test may be accepted on condition that their level of English proficiency, assessed during the interview, is evidently good. The adequate personal preparation of the candidates, their ability to communicate in English and their motivation are decisive elements for the admission and they are going to be verified and tested during the admission interview.
Knowledge of Italian is not required for attendance. However, as required by regulations, foreign students will have to demonstrate to have acquired basic knowledge of the Italian language before the final dissertation.
It is advisable to check for any possible updates about dates and times of examination the website: https://bcg.cdl.unimi.it/en/enrolment
Head of Study Programme Prof. Giulio Pavesi
Tutors – (email@example.com or firstname.lastname@example.org)
Academic guidance tutor: Giulio Pavesi (Unimi), Marco Masseroli (Polimi)
Erasmus and international mobility tutor: Aureliano Bombarely (Unimi)
Study plan tutor: Roberto Mantovani (Unimi), Francesca Ieva (Polimi)
Internship tutor: Roberto Mantovani (Unimi), Francesca Ieva (Polimi)
Seminar and workshop tutor: Giulio Pavesi (Unimi), Marco Masseroli (Polimi)
Dissertation tutor: Roberto Mantovani (Unimi), Marco Masseroli (Polimi)
University and programme transfer tutor: Aureliano Bombarely (Unimi)
Master's degree admission tutor: Giulio Pavesi (Unimi), Marco Masseroli (Polimi)
Credit recognition tutor: Roberto Mantovani (Unimi), Francesca Ieva (Polimi)
Degree Course website https://bcg.cdl.unimi.it/en
Student administrative office:
Università degli studi di Milano, Dipartimento di Bioscienze, via Celoria 20, Milano.
Tel. +39 199188128.
Opening times: Mon-Wed-Fri 9-12; Tue-Thur 13.30-15.30 https://www.unimi.it/en/study/student-services/welcome-desk-infostudenti
Student information office
Università degli studi di Milano, Dipartimento di Bioscienze, via Celoria, 26 - 2° piano torre A, Milano.
Opening times: from Monday to Friday, 10-11:45