Data Science and Economics - (Classe LM-91)-Enrolled from 2018/2019 Academic Year

They can access the second cycle degree course in Data Science and Economics, graduates with a degree awarded in Italy (ex d. 270/04) of the following classes:

l-7 Ingegneria civile e ambientale
l-8 Ingegneria dell'informazione
l-9 Ingegneria industriale
l-16 Scienze dell'amministrazione e dell'organizzazione
l-18 Scienze dell'economia e della gestione aziendale
l-20 Scienze della comunicazione
l-30 Scienze e tecnologie fisiche
l-31 Scienze e tecnologie informatiche
l-32 Scienze e tecnologie per l'ambiente e la natura
l-33 Scienze economiche
l-35 Scienze matematiche
l-36 Scienze politiche e delle relazioni internazionali
l-37 Scienze sociali per la cooperazione, lo sviluppo e la pace
l-41 Statistica

and students with a degree awarded in Italy (ex dm 509/99) in the equivalent classes to those listed above.
A verification of the minimum access requirements is foreseen in the measure of:

12 CFUs in the area of computer science and mathematics, disciplinary sectors: MAT-01 - MAT-09, INF-01, ING-INF/05
12 CFUs in the area of economic and statistical sciences, subject areas: SECS-S/01, SECS-P/05, SECS-P/01, SECS-P/02, SECS-P/07, SECS-P/08

In particular, the preparation required for the computer and mathematics area includes: general mathematics, linear algebra, programming and basic computer science; for the economic-statistical area: inferential statistics, basic econometrics, basic microeconomics, basic macroeconomics and elements of business sciences.

The possession of linguistic skills at least at B2 level in the English language is a requirement for access.
Candidates can prove their English language knowledge by presenting:
a certificate, at least level B2, of proven international validity (e.g., TOELF, IELTS, etc.);
a certificate attesting a B2 level test organized within the University;
a certification attesting a higher education qualification (bachelor) obtained in English;
a certification certifying the achievement of a university exam or English language qualification at least level B2, clearly stating the level achieved;
a certification attesting the achievement of at least 60 ECTS in teaching activities carried out in English during the university course in Italy or through international mobility programs.
Minimum curricular requirements cannot be considered as a verification of personal competencies and skills, which is mandatory. Admission is conditional on the assessment of the personal qualification by the Admission Board, whose member are appointed by the Faculty Board Collegio Didattico.
Assessment of personal competencies and skills is based on academic curriculum
(quality of the previous degree as well as the average grade obtained in the bachelor program. Grades obtained in mathematics, statistics, computer science and economics courses are also part of the evaluation) and choice coherence (coherence between the academic curriculum and/or activities previously carried out and the learning objectives of the MSc in Data Science and Economcis).
The Admission Board reserves the possibility to request the applicant an oral interview or written text for admission, held in English language and exclusively done via electronic devices (eg.: via skype or other platforms). The oral interview is aimed at verifying the individual preparation mentioned above. A complete detailed list of topics that may be requested during the interview is published on the website.

Students with a foreign qualification are also required to ascertain the basic requirements equivalent to the minimum requirements for students with an Italian qualification.

The master's degree program also reserves the right to evaluate the possible inclusion of a programmed number, determined from year to year by the competent academic bodies, after evaluation of the structural, instrumental and personnel resources available for the functioning of the same.

Applicants must obtain the bachelor degree by 31st December 2021.