PhD course in Computer Science and Artificial Intelligence PHD Programme By Università degli Studi di Udine |TopUniversities

Programme overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The Department of Mathematics, Computer Science and Physics of the University of Udine hosts the PhD course in Computer Science and Artificial Intelligence in agreement with Fondazione Bruno Kessler. The course continues an outstanding tradition in computer science teaching and research at the University of Udine, and ideally links up with the best science education courses in Italy at master level, as stated by the 2020/21 official ranking made by CENSIS. This tradition is further enriched by the dynamic, project-oriented knowledge production running at Fondazione Bruno Kessler, generating an ideal environment where top students can meet excellence in both theoretical as well as applied research fields.

The course is active since the XXXVII cycle (2021/22), and originates from the splitting of the PhD course in Computer Science, Mathematics and Physics. It resumes the tradition of the previous PhD course in Computer Science, active across thirty years since the first national cycle (1983/84) until the XXX cycle (2012/13).

Programme overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The Department of Mathematics, Computer Science and Physics of the University of Udine hosts the PhD course in Computer Science and Artificial Intelligence in agreement with Fondazione Bruno Kessler. The course continues an outstanding tradition in computer science teaching and research at the University of Udine, and ideally links up with the best science education courses in Italy at master level, as stated by the 2020/21 official ranking made by CENSIS. This tradition is further enriched by the dynamic, project-oriented knowledge production running at Fondazione Bruno Kessler, generating an ideal environment where top students can meet excellence in both theoretical as well as applied research fields.

The course is active since the XXXVII cycle (2021/22), and originates from the splitting of the PhD course in Computer Science, Mathematics and Physics. It resumes the tradition of the previous PhD course in Computer Science, active across thirty years since the first national cycle (1983/84) until the XXX cycle (2012/13).

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

PHD Programmes 25042