How to Apply (old)

Call for applications for 2022-2023 is now closed.

Calendar of the interviews for the second admission phase is available here.

Results for the first admission phase are available here.   

Check the official call at this page

Details on the application are reported below.

For any question related to the application, please contact us at dssc@units.it.

Available Positions

65 positions (4 of them reserved for the winners of SISSA scholarships) are available according to the following table

During the selection process, we consider equivalent to EU citizens:

• Citizens of Norway, Iceland, Lichtenstein, Switzerland, Republic of San Marino, and Vatican City
• Non-EU citizens already living in Italy

Foreign students can find rules and information about how to apply at the URL http://www.studiare-in-italia.it/studentistranieri/.

Admission requirements

Candidates must have:

• academic degree, or equivalent, with a graduation grade greater or equal to 80 over 110. In the absence of a Bachelor Degree, the weighted average of the exams will be considered instead.
• obtained at least 60 ECTS in the following topics:
  • mathematics (MAT/*)
  • computer science (INF/01)
  • information engineering (ING-INF/*)
  • industrial engineering (ING-IND/*)
  • civil engineering (ICAR/01-09)
  • physics (FIS/*)
  • statistics and mathematical methods for decisions (SECS-S/*)
  • economy and finance (SECS-P01, 05, 08, 09, 11)
  • chemistry (CHIM/*)
  • molecular and genetic biology (BIO/10, 11, 18)
  • geophysics and terrestrial physics (GEO/10, 12)
• obtained at least 9 ECTS in math fields (MAT/*, SECS-S/06)
• adequate knowledge of English, certified by internationally recognized certification of level B2 or higher, or by passing a test equivalent to level B2.

Application

Available positions will be assigned in two distinct selection procedures; if some of the positions will still be unassigned after them, a supplementary selection may be held. 

In order to apply, you need to register in the university system via this link (click register on the menu, and follow instructions), and then apply for the selection procedure in DSSC. In order to apply, you have to log in with the credentials at the same link and choose "Admission to Competitive Exams" from the menu. Then choose master programs and Data Science and Scientific Computing, and follow the instructions. 

During the online application, you will be required to upload in pdf format the following documentation, for the evaluation procedure (points 1,2,3,6 are mandatory):  

1. [for students/degree holders of Italian universities only] self-certification of the degree and passed exams, or, in the case of students who have not yet graduated, self-certification of enrolment and study plan, complete with exams taken and to be taken. Check the call for details.
   [internation degree holders]  official and legalized documentation of the degree and exams taken, or, in the case of students who have not yet graduated, self-certification of enrolment and study plan, complete with exams taken and to be taken. 
2. curriculum vitae;
3. other qualifications deemed useful for purposes of the evaluation (taken courses, relevant professional experience, etc.), if available;
4. English language certification (level B2 or equivalent), if available;
5. copy of a valid identity document. 

Selection Procedure

The selection procedure consists of two steps: an evaluation of the curriculum and an individual interview. During the interview,  the English skills of those candidates not having a B2 certification will be tested. The basic preparation of students on mathematics, statistics, and informatics will also be tested. Please consult the syllabus for an overview of the arguments of possible questions that will be asked.   

All the selection criteria will be detailed in the official call for admission. 

Selections will take place on the following dates (candidates admitted to the interview will be contacted in due time):

The results will be published at this link on the following dates:

Admitted students will have to enrol in the following periods. Admitted international students should immediately contact the international student office for further details on the procedure. 

International students

IMPORTANT: application of international students is restricted to the 1st selection phase, due to VISA restrictions. 

International non-EU students need a VISA to study in Italy. The full procedure is explained in detail on this page of the university website. The fundamental step to get a VISA is to apply for pre-enrollment to the Italian Embassy/Consulate in your country, by mid-July, 2022. You are encouraged to apply as soon as possible (preparing all docs and get an appointment takes time): it is sufficient to have applied for the selection procedure. In any case, it is mandatory to apply for pre-enrollment: we cannot accept you as a student if the pre-enrollment deadline expired and you have not applied to the embassy! 
Please refer to the Italian embassy of your country for the pre-enrollment procedures. Please book an appointment with the embassy in due advance, you may fail to pre-enrol for lack of free appointments. If you need help in this respect, please contact via email the international student office, writing to international.students@amm.units.it. Please specify that you ask for help for the master program in Data Science and Scientific Computing in the subject of the email. 

In order to get help for other issues related to moving to Italy or Trieste, from finding a place to stay to health insurance, please refer to the regional Welcome Office.

Syllabus

This is the list of topics that may be asked during the interview to check the basic preparation of students.

• Computer science: knowledge of basic programming, knowledge and minimal experience with a programming language, knowledge of basic notions of algorithms and data structures.
• Mathematics: fundamentals of differential and integral calculus of one and more variables. Fundamentals of differential equations. Fundamentals of linear algebra (matrices, determinants, systems of linear equations, eigenvalues and eigenvectors).
• Probability: basics of probabilities and elements of statistics (descriptive statistics and basic of inferential methods).