Bioinformatics for computational genomics

cellula
Master programme
interateneo Politecnico di Milano
A.Y. 2020/2021
LM-8 - Industrial biotechnologies
Master programme
120
ECTS
Access
Limited enrollment with admission test
2
Years
Language
English

The Master degree in Bioinformatics for Computational Genomics aims to form graduates with adequate knowledge about: the molecular basis of biological systems; the structure and function of biological molecules and their role in cellular processes; tools and platforms for bioinformatic and genomic analysis; statistical and computational methodologies for the analysis of biomolecular data.

The Master degree therefore includes activities providing in depth knowledge on:

  • the organization of information in the genome, and the biological processes at the basis of gene expression and its regulation;
  • the experimental methods used for studying genes and their function in different model species;
  • the technologies employed in modern genomic research;
  • methods and protocols of bioinformatic analysis in genomic 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.

The program includes an internship in research laboratories either at the University of Milan or in other Italian or foreign research institutes. Its results will be described in a final written dissertation, to be discussed in front of a thesis committee.

The Degree course is established jointly with the School of Industrial and Information Engineering of the Politecnico of Milan.

Graduates in Bioinformatics for Computational Genomics will be "genome data scientists", that is, graduates with an adequate knowledge about the molecular basis of biological systems and the structure and function of biological molecules and how they participate in cellular processes, as well as the technologies and platforms for the analysis of genomes.

At the same time, they will be able to design and tools for the bioinformatic the statistical analysis of genomic data. 

Graduates in Bioinformatics for computational genomics will thus be able to:

  • take part in the design and execution of large scale genomic analyses;
  • identify and extract the biological meaning from the results obtained;
  • design autonomously tools and protocols for the bioinformatic analysis of different types of experimental data;
  • play a pivotal role in research groups focused on basic or applied genomic research;
  • coordinate and supervise research projects and groups focused on bioinformatics and genomics.

Application and admissions: with mandatory access test.

Admission requirements for Italian Students

Students can apply to the BCG Master degree course, provided that they satisfy one of the following two requirements:

Requirement 1)

  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);
  2. 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)

Requirement 2)

  1. 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)
  2. 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 SECSS/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.

Admission requirements for Foreign Students

Students in possession of a Bachelor degree in an area of those described at the previous point (Admission requirements 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

Knowledge of English is a requirement for the access to the BCG Master degree.
Students should have acquired beforehand a B2 level certification (vantage or upper intermediate, as defined by the Common European Framework of Reference for Languages: Learning, Teaching, Assessment).

Students without a B2 placement test may be accepted on condition that their level of English proficiency, assessed during the interview, is evidently good, or, in alternative, can present a report or screenshot of their results at the self-test Dialang (that can be taken on the internet at http://dialangweb.lancaster.ac.uk).

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 an 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.

In the framework of the Erasmus+ program, the BCG Master course has in place agreements with Universities in Denmark, Germany, Spain, France, Norway, and The Netherlands, all offering courses in English. 

The time spent abroad can be used to attend courses and pass the relevant exams, thus collecting credits towards the Master degree, as well as to carry out the experimental project for the dissertation. The student admitted to the mobility program must submit a study plan detailing the training activities that he/she plans to carry out, with the corresponding credits.

The number of credits should correspond as much as possible to the number of credits that the student should acquire during the same period of time at the home University. The proposed activities must be consistent with the goals and the contents of the Master degree.

The study plan must be approved by the BCG Student Mobility Committee, which can request changes or integrations. At the end of the mobility program, according to the guidelines provided by the University of Milan, the courses attended (with a passed exam) by the student are registered in his/her career, preferably with its original name and with an indication of the ECTS (European Credit Transfer and Accumulation System) and their conversion in CFU (usually 1 ECTS = 1 CFU).

The students willing to carry out their dissertation work as part of a mobility program abroad must have an internal supervisor (chosen among the BCG lecturers) and the study plan must be approved by the BCG Teaching Board.

Highly recommended

Courses list

First semester
Courses or activities ECTS Total hours Language SSD
Compulsory
Bioinformatics and Computational Biology 6 48 English ING-INF/05
Organic Chemistry 6 48 English CHIM/06
Optional
Biochemistry 6 48 English BIO/10
Genetics, Cellular and Molecular Biology 12 96 English BIO/11 BIO/13 BIO/18
Programming and Data Bases 12 96 English INF/01 ING-INF/05
Statistics 6 48 English MAT/06 SECS-S/01
Second semester
Courses or activities ECTS Total hours Language SSD
Compulsory
Biostatistics 6 60 English MAT/06 SECS-S/01
Genomics and Transcriptomics 12 96 English BIO/11
Machine Learning 6 60 English INF/01 ING-INF/05
Scientific Programming 6 60 English ING-INF/05
Study plan rules
1 - Students with a degree/background in computer science, engineering, mathematics or physics will attend the courses of the "Percorso 1" ("Knowledge Alignment Plan 1") in Genetics, Cellular and Molecular Biology (12 CFU) and Biochemistry (6 CFU).

Students with a degree/background in life sciences (biology or biotechnology or equivalent) will attend the courses of the "Percorso 2" ("Knowledge Alignment Plan 2") in Programming and Data Bases (12 CFU) and Statistics (6 CFU).
Courses or activities ECTS Total hours Language Lesson period SSD
Biochemistry 6 48 English First semester BIO/10
Genetics, Cellular and Molecular Biology 12 96 English First semester BIO/11 BIO/13 BIO/18
Programming and Data Bases 12 96 English First semester INF/01 ING-INF/05
Statistics 6 48 English First semester MAT/06 SECS-S/01
First semester
Courses or activities ECTS Total hours Language SSD
Compulsory
Advanced Genomics and Epigenomics 12 96 English BIO/18 BIO/19
Structural Chemistry 6 48 English CHIM/06 ING-IND/34
Systems Biology and Network Analysis 6 48 English ING-INF/06
Optional
Genomic Big Data Management and Computing 6 48 English BIO/11 ING-INF/05
Interdisciplinary Project 6 48 Italian BIO/11 ING-INF/05
Neurogenomics and Brain Disease Modelling 6 48 English BIO/11
Conclusive activities
Courses or activities ECTS Total hours Language SSD
Compulsory
Language Skills and other activities (attendance to seminars, etc.) 3 0 English
Conclusive activities
Courses or activities ECTS Total hours Language SSD
Compulsory
Thesis project and final dissertation 21 0 English
There are no propaedeutic courses in the BCG degree that can limit progression from the first to the second year.
Course locations
Lecture rooms and laboratories are located:
- in the "Città Studi" campus of the University of Milan, mostly in the University buildings of via Celoria, 26 and via Golgi;
- in the "Leonardo" Campus of the Politecnico di Milano, Piazza Leonardo da Vinci.
Head of study programme
Academic guidance tutor
Masseroli Marco
Erasmus and international mobility tutor 
Study plan tutor
Ieva Francesca
Seminar and workshop tutor
Masseroli Marco
Dissertation tutor
Masseroli Marco
University and programme transfer tutor
Master's degree admission tutor
Masseroli Marco
Credit recognition tutor
Ieva Francesca
Quality Assurance Delegate

For students enrolled on bachelor’s, master’s and single cycle degree programmes are divided into two instalments of different amounts and with different payment deadlines:

  • the first, corresponding to the minimum amount, is the same for all students 
  • the second - technically referred to as an ‘all-inclusive fee’-  that is variable.

Students can also be entitled for tuition fee reductions such as:

More info at: Fees - current academic year

Scholarships and benefits

The University also provides a range of financial benefits to students meeting special requirements (merit, financial or personal conditions, international students), including:

Enrollment
First year enrolment:
Admission
Limited enrollment with admission test

Call for applications is going to be published.
Application period: application deadlines will be published soon.