DEGREE PROGRAMME CLASSES

Master of science degree programme in Legal Sciences - Law

Characteristics, educational path and career opportunities: all you need to know about graduates and master of science degree programmes in Legal Sciences - Law.
Degree programm class code:
LM/SC-GIUR
83.5%
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
20.6%
Men
79.4%
Women
years26.7
Age at graduation (average)
Study performance
86.0%
completes studies within the prescribed duration
109.7/110
graduation mark (average)
Main bachelor's degrees of origin
Study conditions
29.9%
benefits from a scholarship
78.4%
attends classes regularly
Academic educational experiences
54.6%
curricular internship
10.3%
spent a period of study abroad acknowledged by their degree programme
Continuation of post-graduate education
71.4%
Employment status at 1 year
90.5%
employment rate
1,362
net monthly salary (average)

Analysis conducted on graduates from the year 2022 (characteristics, assessments and study conditions), 2021 and 2017 (employment status), 2017, 2016 and 2015 (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.