Home
Studying with us
The Master in a nutshell
Learning outcomes
Learning style
How to enroll
Learning curricula
C1 Data Science for Public Administration, Economics and Management
C2 Data Science for Information Technologies
C3 Data Science for Fundamental Science
C4 Data Science for Intelligent Systems
Timetable
First Year
Second Year
Thesis/Intership
Seminars and tutorials
Other Activities
Picariello Lectures
Info for foreign students
Why Federico II
Previous Academic Years
Job Opportunities
Industries
FAQ
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
INSTRUCTIONS AND INFO FOR STUDENTS WHO ENROLLED BEFORE 2023 (old curriculum)
Home
Studying with us
The Master in a nutshell
Learning outcomes
Learning style
How to enroll
Learning curricula
C1 Data Science for Public Administration, Economics and Management
C2 Data Science for Information Technologies
C3 Data Science for Fundamental Science
C4 Data Science for Intelligent Systems
Timetable
First Year
Second Year
Thesis/Intership
Seminars and tutorials
Other Activities
Picariello Lectures
Info for foreign students
Why Federico II
Previous Academic Years
Job Opportunities
Industries
FAQ