University of Milan
Fondazione INGM

Bioinformatics and Functional Genomics


Bioinformatics - Data Science - Biology - Biotechnology - Molecular Biology - Machine Learning - Databases - Web Development - Programming

The Master Program in Bioinformatics and Functional Genomics is intended for those students that want to use Bioinformatics, applying advanced concepts and techniques offered by Computer Science, Statistics, and Mathematics, to tackle and answer real biological questions. The course will walk through general concepts of Biology and Biotechnology highlighting recent advancements, demonstrating how it is possible to integrate and support biological data to answer question performing precise investigations by Next Generation Sequencing technologies and other cutting edge technologies.

The course will provide the bases for the sophisticated mathematical and statistical concepts necessary to understand and take advantage of tools available in Data Science. The Big Data already available will be exploited and integrated using an ensemble of Data Science strategies, techniques and tools. The student will develop skills to manage unstructured data, programming with modern languages, exploit cloud-based technologies and communicate results developing modern web applications.

Courses


Employment opportunities


Master’s graduates will acquire a high level of technical knowledge within the fields of bioinformatics and basic and industrial research, as well as analytical skills normally required in Data Science. These skills may be applied in a variety of sectors, such as Biotechnology and Pharmaceuticals.

Admission requirements


The programme caters to those with a second cycle degree (laurea magistrale) or long single cycle degree (laurea magistrale a ciclo unico) in one of the following classes of former Ministerial Decree 270/2004, or in one of the corresponding classes of former Ministerial Decree 509/99 (the Italian name reported is the official name of the class, the English translation is reported for allow an easier comprehension of the list):

  • LM-6 Biologia (Biology)
  • LM-7 Biotecnologie agrarie (Agricultural Biotechnologies)
  • LM-8 Biotecnologie Industriali (Industrial Biotechnologies)
  • LM-9 Biotecnologie mediche veterinarie e farmaceutiche (Pharmaceutical, veterinary and medical biotechnologies)
  • LM-13 Farmacia e farmacia industriale (Pharmacy and industrial pharmacy)
  • LM-17 Fisica (Physics)
  • LM-18 Informatica (Informatics)
  • LM-21 Ingegneria biomedica (Biomedical Engineering)
  • LM-29 Ingegneria elettronica (Electronics Engineering)
  • LM-32 Ingegneria informatica (Informatics Engineering)
  • LM-40 Matematica (Mathematics)
  • LM-41 Medicina e chirurgia (Medicine and surgery)
  • LM-44 Modellistica matematico-fisica per l’ingegneria (Mathematical Engineering)
  • LM-54 Scienze chimiche (Chemistry)
  • LM-60 Scienze della Natura (Natural Sciences)
  • LM-69 Scienze e Tecnologie Agrarie (Agricultural Sciences)

Selection process


Admission to the programme is through an interview aimed at ascertaining the candidate’s knowledge of English and of the topics addressed by the Master’s programme, through CV assessment and motivational issues. Evaluation criteria:

  • Written exam: 40%
  • Interview: 40%
  • CV assessment: 20%
The following will be considered: final degree examination mark up to 10 points; scientific publications up to 5 points; professional experience up to 5 points). Candidates must score at least 60/100 for admission.

Programme organization


The programme entails lectures and other forms of training, such as computational tools, data analysis and applications, for a total of 520 hours. Lectures will take place for 5 days a week for a total or 4/5 hours a day (with the exception of full day lectures when required, due to the presence and accomodation of external speakers).

Lectures will start the 15th of March 2020 and will be concluded by the end of September 2020 (a first small break of 3/5 days is scheduled for the beginning of June, a second longer break between the end of July and the begin of September). The traineeship (320 hours) will begin October 1st and will end January 29th 2020

Both the class and traineeship require mandatory attendace (an amount of 20% of absences of the total number of lecture hours is tolerated).

Important Dates


  • 03 February 2020
  • 10am on 14 February 2020
  • 15 March 2020
  • 29 January 2021
  • End of Registration
  • Selection process
  • The Master will start
  • The Master will end

Both selection and programme will be help at INGM

For all the details please visit the official UniMi web site Bioinformatics and Functional Genomics of the master.

Or download the official admission document ("bando")


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