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The Master Degree in 'Bioinformatics for Computational Genomics' (BCG) aims to form graduates with 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:
1. the organization of information in the genome and the molecular and cellular processes at the basis of gene expression and its regulation
2. the experimental methods used for studying genes and their function in different model species, both prokaryotic and eukaryotic
3. the technologies employed in modern genomic research
4. methods and protocols of bioinformatic analysis in functional genomics studies
5. algorithmic, mathematical and statistical approaches underlying bioinformatic and genomic analysis tools
6. data base technologies for the storage and organization of the data
7. modelling and analysis techniques employed in systems biology for the study of interactions in complex biological systems.
The program includes, as a fundamental step in the formation of the students, an internship in research laboratories either at the University of Milan or in other Italian or foreign research institutes. The research experience of the internship and its results will be described in a final written dissertation, to be discussed in front of a thesis committee.
Programme overview
Main Subject
Biological Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master Degree in 'Bioinformatics for Computational Genomics' (BCG) aims to form graduates with 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:
1. the organization of information in the genome and the molecular and cellular processes at the basis of gene expression and its regulation
2. the experimental methods used for studying genes and their function in different model species, both prokaryotic and eukaryotic
3. the technologies employed in modern genomic research
4. methods and protocols of bioinformatic analysis in functional genomics studies
5. algorithmic, mathematical and statistical approaches underlying bioinformatic and genomic analysis tools
6. data base technologies for the storage and organization of the data
7. modelling and analysis techniques employed in systems biology for the study of interactions in complex biological systems.
The program includes, as a fundamental step in the formation of the students, an internship in research laboratories either at the University of Milan or in other Italian or foreign research institutes. The research experience of the internship and its results will be described in a final written dissertation, to be discussed in front of a thesis committee.
Admission Requirements
72+
5.5+
Italian Students: Students can apply to the BCG Master degree course, provided that they satisfy one of the following two requirements: 1. 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/01-19) with at least 18 CFU in Genetics (BIO/18), Molecular Biology (BIO/11) and Biochemistry (BIO/10) OR 2. 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); - Statistics (class L41). 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 (1 CFU = 1 ECTS - European Credit Transfer and Accumulation System). 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 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. Language Requirements Students must be proficient in English, with a B2 level of competence. In exceptional cases, students without a valid language certificate may be accepted on condition that their level of English proficiency, assessed during the interview, is evidently good.
2 Years
Oct
International
156 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Bioinformatics for Computational Genomics
Main Campus, Milan, Italy
# 149QS Subject Rankings
24 monthsProgramme duration
156 EURTuition Fee/year
Biological SciencesMain Subject Area
Programme overview
Main Subject
Biological Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master Degree in 'Bioinformatics for Computational Genomics' (BCG) aims to form graduates with 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:
1. the organization of information in the genome and the molecular and cellular processes at the basis of gene expression and its regulation
2. the experimental methods used for studying genes and their function in different model species, both prokaryotic and eukaryotic
3. the technologies employed in modern genomic research
4. methods and protocols of bioinformatic analysis in functional genomics studies
5. algorithmic, mathematical and statistical approaches underlying bioinformatic and genomic analysis tools
6. data base technologies for the storage and organization of the data
7. modelling and analysis techniques employed in systems biology for the study of interactions in complex biological systems.
The program includes, as a fundamental step in the formation of the students, an internship in research laboratories either at the University of Milan or in other Italian or foreign research institutes. The research experience of the internship and its results will be described in a final written dissertation, to be discussed in front of a thesis committee.
Programme overview
Main Subject
Biological Sciences
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master Degree in 'Bioinformatics for Computational Genomics' (BCG) aims to form graduates with 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:
1. the organization of information in the genome and the molecular and cellular processes at the basis of gene expression and its regulation
2. the experimental methods used for studying genes and their function in different model species, both prokaryotic and eukaryotic
3. the technologies employed in modern genomic research
4. methods and protocols of bioinformatic analysis in functional genomics studies
5. algorithmic, mathematical and statistical approaches underlying bioinformatic and genomic analysis tools
6. data base technologies for the storage and organization of the data
7. modelling and analysis techniques employed in systems biology for the study of interactions in complex biological systems.
The program includes, as a fundamental step in the formation of the students, an internship in research laboratories either at the University of Milan or in other Italian or foreign research institutes. The research experience of the internship and its results will be described in a final written dissertation, to be discussed in front of a thesis committee.
Admission Requirements
1. 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/01-19) with at least 18 CFU in Genetics (BIO/18), Molecular Biology (BIO/11) and Biochemistry (BIO/10)
OR
2. 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); - Statistics (class L41).
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 (1 CFU = 1 ECTS - European Credit Transfer and Accumulation System). 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 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.
Language Requirements Students must be proficient in English, with a B2 level of competence. In exceptional cases, students without a valid language certificate may be accepted on condition that their level of English proficiency, assessed during the interview, is evidently good.
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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