Aim and Organization
As part of its activities, the MSc in Data Science of the University of Trento organizes a yearly summer school to acquire valuable credits to qualify for enrollment in the programme.
The Data Science Summer School is designed for students who want to deepen their knowledge of Python coding, mathematics, statistics, and social sciences, with a focus on practical applications. Applications are open to students from the University of Trento and other institutions.
Anyone can enrol in the Summer School, also those who already have all the necessary credits to enter the Data Science MS program.
Key Information
When: 6/07/2026 – 31/07/2026
Schedule: TO BE ANNOUNCED
Format: The Summer School is organized into 6 modules taking place over four weeks. Modules take place in different formats:
– Mathematics and Statistics: ONLINE/BLENDED (all lectures will take place on Zoom)
– Economic, Psychological, and Sociological Sciences: ONLINE/BLENDED (all lectures will take place on Zoom)
– Computer Science: EXCLUSIVELY IN-CLASS (NO online lectures)
For further information, please check the modules' descriptions below.
Where:
– In-class lectures will take place at the Department of Sociology and Social Research at UniTrento. Room numbers will be announced at the end of the registration period.
– Online/blended lectures will be delivered via Zoom and complemented by assignments to be completed independently at home.
Teaching Language:
Modules of Mathematics and Statistics: ENGLISH
Modules of Economic, Psychological, and Sociological Sciences: ENGLISH
Modules of Computer Science: ITALIAN (Module 1) and ENGLISH (Module 2)
How to apply: TO BE ANNOUNCED
Registration deadline: July 4, 2026
Maximum number of courses: Students can attend up to 4 modules – max. 2 modules #1 (first week) and max. 2 modules #2 (second week).
Course Prices:
–Modules #1 (first week): 170€ (individual fee)
–Modules #2 (second week): 80€ (individual fee)
Payment Method: Credit Card or Bank Transfer
Attendance requirements: Attendance is mandatory. To qualify for final exams and/or obtain an attendance certificate, students must be present at least 15 out of the 18 hours that are scheduled for each course.
CFU Recognition: Credits obtained upon completion of Summer School courses are recognized as follows:
– For undergraduate students from the Departments of Economics, Industrial Engineering, Information Engineering and Computer Science, and Mathematics: CFUs are recognized as extra-numerary (i.e., crediti sovranumerari);
– For undergraduate students from the Departments of Psychology and Cognitive Science, Sociology and Social Research: only for undergraduate students, CFUs are recognized as free choice credits (i.e., crediti a scelta libera)
– For students of the MSc in Finance (DEM): only CFU obtained with the Computer Science Module of the Summer School are recognized as free choice credits (i.e., crediti a scelta libera)
– All other attendees will receive a certificate attesting to the successful completion of courses. Requests for the recognition of Summer School CFUs should be addressed to the department to which they belong.
Admission requirements: Summer School courses are open to students who have obtained only some of the credits required for admission to the Data Science MSc, as well as to those who wish to refresh their knowledge in the relevant subject areas. Please refer to the module descriptions for further details.