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Master's Degree of UniNa Federico II
Data Science
Data Science for Public Administration, Economics and Management
Methods and theories for implementing improvement management and advanced business intelligence
Data Science for Information Technologies
Methods and theories for Artificial Intelligence
Data Science for Fundamental Sciences
Methodologies and effective application of data science in Mathematics, Hard Sciences and Life Sciences
Data Science for Intelligent Systems
Algorithm and techniques starting the next wave of Intelligent Systems and Quantum Computing

Master's Degree in Data Science

Classes for the first semester of the 2026/2027 academic year officially begin on Monday, 14 September 2026.

Timetables are now published on Easy Academy, where students can select their degree programme and year of enrolment to view the weekly schedule:

https://easyacademy.unina.it/agendastudenti/index.php?view=easycourse&_lang=it&include=corso

Key dates in the academic calendar:

  • Start of classes: Monday, 14 September 2026
  • Teaching break: Wednesday 11, Thursday 12 and Friday 13 November 2026
  • End of classes: Friday, 18 December 2026

No lectures will be held during the teaching break. Classrooms will be made available for examinations and mid-term assessments.

Please note that timetables may be subject to minor adjustments during the first weeks of the semester for organisational reasons. Students are advised to check the Easy Academy page regularly for any updates.

We wish all students a successful start to the academic year!