Laurea (First cycle degree/Bachelor - 180 ECTS) in Genomics

Degree programme

Programme type Laurea (First cycle degree/Bachelor - 180 ECTS)
Academic Year 2018/2019
General policies and regulations D.M. 270
Code 9211
Degree Programme Class L-2 - Biotechnologies
Years in which the programme is being held 1st year, 2nd year
Teaching mode Traditional lecture (classroom-taught)
Admission typology Restricted access
Place of teaching Bologna
Type International Degree Programme
Degree Programme Director Giovanni Perini
Teachers Teachers
Language English

Admission requirements and assessment of previously acquired knowledge/competences

How to apply: deadlines, requirements, admission procedures for Italian and International students.

GENOMICS is a restricted-access programme: this means that you will have to be selected to take part. For 2017-2018 academic year we will admit 52 students.

Please find some useful information on application modes in the table below. However, it is essential that you read the Call for Applications in the attachment.

Non-European candidates

One of the following:

European and European-assimilated candidates

One of the following

· SAT score

· Dossier (=high school transcripts + English language certificate B2*)

· SAT score

· TOLC-I scores + English language certificate B2*

Language requirements
The minimum level of English required to be a GENOMICS student is B2 (from the CEFR scale.): if you apply via Dossier or via TOLC I test, you will also have to provide us with an official language certificate (among those that will be listed in the Call for Applications), whereas no language certificate is necessary if you take the SAT.

*The list of language certificates we can accept will be available in the Call for Apllications a.y. 2017/2018.

Some Information about SAT:

  • We accept SAT General Test, without Essay. We will not assess or consider the Essay part of the test.

  • You can take the test in different locations all over the world. Check what's the nearest to you from this page.

    Bologna will host a SAT session on 6 May 2017 (other towns may host more sessions).

  • Each test date and venue has limited capacity. Make sure you register at your earliest convenience to be included as a test taker at you preferred location.

  • For ALL information about this test (its structure, registration, preparation, etc.) you need to refer exclusively to the College Board website.

  • After taking the test, it is mandatory that you ask College Board to forward your SAT scores to the University of Bologna, using code 6993.

Some information about TOLC test:

TOLC-I is a test in Italian only. TOLC test does include some questions in English which, however, will NOT be considered for the purpose of language assessment. For information on TOLC tests, please refer to the Cisia website

For detailed information, it is essential that you read the Call for applications in the attachment box:
Bando di Ammissione Genomics a.a.17-18 (in Italian)
Call for Applications Genomics a.y. 17-18 (in English)

Programme profile

The international degree in Genomics provides the theoretical and practical basis for training a professional capable of applying IT, mathematical and statistical skills to the analysis ofgenomic data and, consequently, to the analysis of transcriptomic, proteomicand epigenomic data, the biology of systems and metagenomics, in prokaryotes, eukaryotes and humans.

The compulsory learning activities result in the acquisition of:

1) preparatory knowledge of mathematical analysis, algebra, physics and chemistry;

2) detailed knowledge of genetics, biochemistry and the molecular biology of prokaryotes and eukaryotes, and an understanding of the organisation and method of expression of their genomes;

3) skills in programming, statistics, mathematics, algorithms and data in the biological field, as well as multi-scale modelling and computational simulation;

4) bio-informatic abilities in the analysis of nucleic acids, proteins and omic datasets and information deriving from the analysis of bulk sequencing, as well as practical skills in data mining and the querying, organisation and management of biological databases;

5) theoretical and practical skills for the analysis of communities and complex systems;

6) bio-ethical principles associated with the processing and management of sensitive data;

7) excellent knowledge of English.

The curriculum is completed with knowledge of a related and supplementary data science discipline.

The degree programme finishes with an internship that enables the student to apply operationally the theoretical and practical notions acquired. This internship may be carried out in the laboratories of Universities or public or private firms and/or bodies, either in Italy or internationally.

Expected learning outcomes

KNOWLEDGE AND UNDERSTANDING

Graduates possess extensive knowledge in:

· Mathematics/ linear algebra

· Statistics

· Computer science (computer programming and algorithm design)

· Genomes structure and organization (prokaryotic, uni- and multicellular eukaryotic organisms)

· Transcriptomes structure and organization (prokaryotic, uni- and multicellular eukaryotic organisms)

· Proteomes structure and organization (prokaryotic, uni- and multicellular eukaryotic organisms)

· Interactomics

· Metabolomics

· Meta/epigenomics

The afore-mentioned knowledge and abilities to understand are acquired through lectures, activities in laboratories with individual places, which enable the individual execution of experimental protocols, classroom practice, supported by professors and tutors, together with personal study.

The evaluation of the acquired knowledge is carried out through written and oral exams, mid-term assessment, laboratory practice reports, and scientific papers discussions.

Students are able to increase their knowledge and develop their own understanding through the dialogue with professors and tutors during lectures and specifically in laboratory activities.

APPLYING KNOWLEDGE ANDUNDERSTANDING:

Graduates are able to apply their knowledge of:

· Mathematics/ linear algebra

· Statistics

· Computer science (computer programming and algorithm design)

· Genomes structure and organization (prokaryotic, uni- and multicellular eukaryotic organisms)

· Transcriptomes structure and organization (prokaryotic, uni- and multicellular eukaryotic organisms)

· Proteomes structure and organization prokaryotic, uni- and multicellular eukaryotic organisms)

· -Omic networks and their simulation and multi-scale modeling

Results are achieved through lectures supported by practical exercise and a wide and focused tutorship. They are assessed through an oral exam and/or a written paper.

MAKING JUDGEMENTS:

Graduates:

- are able to work autonomously on the implementation of programming protocols and/or statistical data analysis;

- Are able to organize and understand relevant scientific data resulting from -omic data generation in laboratory;

- Are able to note and assemble new genomes and also to comparatively analyze genomes/transcriptomes/proteomes data present in public and private databases;

- Have the ability to analyze and synthesize information for the management and distribution of experimental data in the scientific field;

- Are able to make judgements on social, scientific and ethical matters linked to the analysis and the use of -omic data;

- Are able to adapt to different topics and fields of work;

- Are able to trace and examine information sources, data and literature of the specific field.

The ability to make judgements is developed and verified through laboratory practices, carried out independently in many teaching modules, and through written papers, required in some modules, at the end of the internship or for the final thesis. Students develop their own ability to make judgement on social and ethical issues within the bioethics module.

COMMUNICATION SKILLS:

Graduates:

- Are able to collaborate in group works, specifically in planning and processing -omic data;

- Are able to make effective use of the English language, both written and spoken, in the field of bioinformatics analysis, computational biotechnologies, database management and biology of systems;

- Have social and communication skills that enable them to work in international contexts;

- Are able to write scientific and technical reports both in Italian and in English;

Written and oral communication skills are achieved through activities that include the drafting of written reports and the discussion of the group work outcomes; the evaluation in the acquisition of these activities is carried out with tests and laboratory activities. The development of communication skills is also verified through the compulsory internship. As far as the English language is concerned, although the entry level B2 is quite high, students are expected to deepen the four linguistic abilities (reading, writing, listening and speaking) since lectures, laboratory activities and exam are held in English. A further opportunity to enrich the language knowledge is through the internship abroad and the study of scientific papers. Furthermore, the acquisition of communication skills is developed through the preparation of the internship final reports and the dissertation.

LEARNING SKILLS:

Graduates:

- Are able to work autonomously and continue their professional training;

- Are able to learn and deepen additional techniques in -omic data design and analysis in order to undertake specialized studies;

- Are able to conduct a target-oriented work;

Learning skills are developed during the entire degree programme, either with individual study, dialogue with professors during oral exams and revision of written papers, and the organization of implementing protocols during laboratory activities, under the supervision of professors and tutors. The internship and the activity for the final thesis preparation are key opportunities to increase learning skills which are evaluated through the exams planned for each module, taking into consideration the scheduled time for each academic year and the data individually obtained within the setting up of experimental protocols. There will be also an evaluation of the self-learning skill gained during the internship activities and the activity for the final thesis preparation, as well as the ability to critically discuss the scientific topics covered.

Access to further study

It gives access to second cycle studies (laurea specialistica/magistrale) and master universitario di primo livello.

Career opportunities

Bio-informatics technician

function in a work environment:

The Bio-informatics technician:

- applies mathematical calculation andprogramming tools and methods in order to understand, archive, process andanalyse biological datasets;

- combines aspects of genetics, molecularbiology and sequencing methods with bio-informatics in order to sequence,assemble, analyse and compare the function and structure of genomes;

- carries out these activities in variouscontexts: industrial, clinical, forensic, food-processing, environmental.

skills associated with the function:

The Bio-informatics technician possesses:

1) knowledge of genetics and molecularbiology;

2) detailed knowledge of the organisation andmethod of expression of eukaryote, prokaryote and viral genomes;

3) skills in mathematics, statistics,computer programming (Python, C, Pearl, R);

4) IT abilities in the analysis of nucleicacids, proteins and omic datasets and information deriving from the analysis ofbulk sequencing;

5) skills in the use of genetic sequencinginformation in clinical and healthcare environments;

6) skills in the use of genomic informationas a key to future technologies linked to food security and animal andvegetable genetic improvement;

7) skills in ecological investigations andthe predictive analysis of ecosystem behaviour using algorithms and modelsbased on genomics;

8) ability to implement genomic analyses insupport of legal investigations of various types.


career opportunities:

The profession of bio-informaticstechnician can be carried out in:

- National and international firms in theIT, biotechnology, biomedical, food-processing, pharmaceutical, environmentaland industrial sectors;

- National and international centres foradvanced diagnostics and/or applied research;

- National Health Service (Hospitals, LocalHealth Authorities, Animal Husbandry Institutes, Scientific Research and CareInstitutions involved in omic diagnosis);

- National and international dataprocessing centres;

- Legal contexts, as a consultant;

- National and international Universitiesand Pure and applied research centres.

Lastly, the degree in Genomics grantsaccess to Master degree programmes in biotechnology, genetics, molecular and cellularbiology as well as Master degree programmes in bio-informatics.

Computationalbiotechnologist

function in a work environment:

The Computational biotechnologist developsand applies theoretical methods, mathematical models and computational simulationtechniques in order to study and predict the behaviour of biological systemsand populations.

skills associated with the function:

The Computational biotechnologistpossesses:

1) knowledge of genetics, bio-chemistry andmolecular biology;

2) excellent skills in statistics andcomputer programming (Python, C, Pearl, R);

3) detailed knowledge of mathematicalmodelling;

4) specific practical abilities in thecomputational simulation and multi-scale modelling.

career opportunities:

The profession of computationalbiotechnologist can be carried out in

- National and international firms in theIT, biotechnology, biomedical, food-processing, pharmaceutical, environmentaland industrial sectors;

- National and international centres foradvanced diagnostics and/or applied research;

- National Health Service (Hospitals, LocalHealth Authorities, Animal Husbandry Institutes, Scientific Research and CareInstitutions involved in omic diagnosis);

- Regional, national and internationalenvironmental protection agencies;

- National and international Universitiesand Pure and applied research centres.

Lastly, the degree in Genomics grantsaccess to Master degree programmes in biotechnology, genetics, molecular andcellular biology as well as Master degree programmes in bio-informatics.

Systemsbiotechnologist

function in a work environment:

The Systems biotechnologist models thecomplex interactions of biological systems using an holistic approach in orderto determine the properties of circuits, networks and interactions in cells,tissue, organisms and populations.

skills associated with the function:

The Systems biotechnologist possesses:

1) knowledge of genetics, bio-chemistry andmolecular biology;

2) excellent skills in statistics andcomputer programming (Python, C, Pearl, R);

3) detailed knowledge of mathematicalmodelling;

4) specific practical abilities in thecomputational simulation and multi-scale modelling.

career opportunities:

The profession of systems biotechnologistcan be carried out in:

- National and international dataprocessing centres;

- Regional, national and internationalenvironmental protection agencies;

- National and international Universitiesand Pure and applied research centres.

Lastly, the degree in Genomics grantsaccess to Master degree programmes in biotechnology, genetics, molecular andcellular biology as well as Master degree programmes in bio-informatics.

GenomicsData Manager

function in a work environment:

The Genomics Data Manager:

- organises, looks after and administer thelaboratory datasets, managing the related IT systems;

- plans pipelines for the development ofbest practice protocols for the storage, back-up, organisation and publicationof genomic research data, including in the healthcare area in which the geneticsequencing information can help to improve the diagnosis and prognosis ofgenetic diseases, and the stratification of patients, as well as to identifythe best therapeutic treatment.

skills associated with the function:

The Genomics Data Manager possesses

1) detailed knowledge of the organisationand method of expression of eukaryote, prokaryote and viral genomes;

2) detailed bio-informatic abilities in theanalysis of nucleic acids, proteins and omic datasets and information derivingfrom the analysis of bulk sequencing;

3) specific skills in data mining and thequerying, organisation and management of genomic databases;

4) detailed knowledge of the regulationsand bio-ethical principles associated with the processing and management ofsensitive data.

career opportunities:

The profession of Genomics Data Manager canbe carried out in:

- National and international firms in theIT, biotechnology, biomedical, food-processing, pharmaceutical, environmentaland industrial sectors;

- National and international centres foradvanced diagnostics and/or applied research;

- National Health Service (Hospitals, LocalHealth Authorities, Animal Husbandry Institutes, Scientific Research and CareInstitutions involved in omic diagnosis;

- National and international dataprocessing centres;

- National and international Universitiesand Pure and applied research centres.

Lastly, the degree in Genomics grantsaccess to Master degree programmes in biotechnology, genetics, molecular andcellular biology as well as Master degree programmes in bio-informatics