DEGREE PROGRAMME CLASSES

Master of science degree programme in Data Science

Characteristics, educational path and career opportunities: all you need to know about graduates and master of science degree programmes in Data Science.
Degree programm class code:
LM-Data
71.6%
would enrol again in the same degree programme and at the same university

Since the number of graduates is limited, it is not possible to show some statistical data.

Personal information
67.2%
Men
32.8%
Women
years26.3
Age at graduation (average)
Study performance
87.7%
completes studies within the prescribed duration
107.5/110
graduation mark (average)
Main bachelor's degrees of origin
Study conditions
33.8%
benefits from a scholarship
64.4%
attends classes regularly
Academic educational experiences
82.7%
curricular internship
15.8%
spent a period of study abroad acknowledged by their degree programme
Continuation of post-graduate education
44.3%
Employment status at 1 year
93.4%
employment rate
1,731
net monthly salary (average)

Analysis conducted on graduates from the year 2025 (characteristics, assessments and study conditions), 2024 and 2020 (employment status), 2019, 2018 and 2017 (profession pursued). Graduates from previous D.M. no. 509/1999 courses are included. In brackets, next to the name of the degree classification, the corresponding ministerial identification code is shown (see Ministerial Decree no. 270/2004 and Ministerial Decree no. 509/1999). Only professions with at least 5 employees (in the case of first-level degree classes) or 10 employees (in the case of second-level degree classes) are displayed.

Analysis on the employment status of first degree graduates are only carried out on those who have not enrolled in another degree course. Caution should be taken in case there are few graduates who have not enrolled in another degree course.

In-depth studies carried out by AlmaLaurea.

Reproduction for non-commercial purposes and citing the source is allowed.

Caution is recommended when interpreting the results in case of reduced data.