DEGREE PROGRAMME CLASSES

Master of science degree programme in Aviation and maritime navigation

Characteristics, educational path and career opportunities: all you need to know about graduates and master of science degree programmes in Aviation and maritime navigation.
Degree programm class code:
LM-72, 80/S
85.0%
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
64.3%
Men
35.7%
Women
years30.1
Age at graduation (average)
Study performance
64.3%
completes studies within the prescribed duration
108.4/110
graduation mark (average)
Main bachelor's degrees of origin
Study conditions
30.0%
benefits from a scholarship
57.5%
attends classes regularly
Academic educational experiences
95.0%
curricular internship
0.0%
spent a period of study abroad acknowledged by their degree programme
Continuation of post-graduate education
22.7%

In which universities you can study Aviation and maritime navigation

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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.