DEGREE PROGRAMME CLASSES

First level degree programme class in Aviation and maritime naviga

Characteristics, educational path and career opportunities: all you need to know about graduates and bachelor's degree courses in Aviation and maritime naviga.
Degree programm class code:
L-28, 22
73.6%
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
81.3%
Men
18.8%
Women
years31.5
Age at graduation (average)
Study performance
89.5%
completes studies within the prescribed duration
99.3/110
graduation mark (average)
Study conditions
10.5%
benefits from a scholarship
75.7%
attends classes regularly
Academic educational experiences
35.1%
curricular internship
0.8%
spent a period of study abroad acknowledged by their degree programme
From bachelor's to master's
45.2%
enrolled in a master's degree course
Employment status at 1 year
82.3%
employment rate
1,768
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.