Data Science and Innovation Management Enrollment

To qualify for the Master's Degree in Data Science and Innovation Management, specific curricular requirements and adequate personal preparation are required.

Selection process

Curricular Requirements:

  • Bachelor's Degree in Information Engineering; Computer Science and Technology; Statistics (classes: L-8, L-31, L-41 ex DM 270/2004 or corresponding classes ex D.M. 509/99). In case of different Degree, you must have obtained at least 39 CFU/ECTS in total, broken down as follows:18 CFU/ECTS in Mathematics and Statistics (SSD: MAT/01, MAT/02, MAT/03, MAT/05, MAT/06, SECS-S/01, SECS-S/06) and 21 CFU/ECTS in Computer Science (SSD: INF/01, ING-INF/05).

Adequacy of personal preparation:

To follow the course successfully, it is necessary to have an adequate first university level preparation in the following subjects:

  • Mathematics: analysis of functions of one and more real variables, successions and numerical series, basic notions of linear algebra;
  • Statistics: basic notions of probability calculation and statistics in the discrete and continuous case, including the study of distributions and the central limit theorem;
  • Computer science: basic notions of programming using a high-level language (e.g., Python, Java, C, C++), algorithms and elementary data structures, databases.

Evaluation Method

Curriculum requirements are verified through an examination of candidates' university careers.

The suitability of the qualifications obtained abroad and of old system’s degree will be verified by the Didactic Council. The verification will cover the specific contents of the training activities that led to the achievement of the title itself and, if needed, candidates will be interviewed for assessing the aforementioned requirements.

Foreign students interested in the evaluation for the admittance to the study courses, need to register on Universitaly.

The adequacy of initial preparation, including knowledge of the Italian language (at least level B2) for non-italian candidates, shall be verified by an interview with the Admission Committee.

In the case of curricular requirements lack, the Didactic Council may indicate the mandatory training activities for their acquisition.

It is not allowed to enroll with training debts.


The admission tests will be open to the public and will take place periodically, normally in September and February.

All the information about the admission tests will be notified on the Department's website and in this section of the Course web page.

Further information

For asking an early evaluation for the admission to the Master Degree in Data Science and Innovation Management, please fill the form attached below and send it to the following mail addresses: