APPLIED DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

logo ateneo
Academic year 2022/2023
Department of Mathematics and Geosciences
Università degli Studi di Trieste
EQF level: 8
38° cicle
Field of study: natural sciences, mathematics, physics and statistics engineering and engineering trades
Place of teaching
trieste (TS), italy
Attendance methods
Full time
Languages in which the course is held
English
Cost
Free course
Duration of the course
Nov 2022 - Oct 2025
Scholarships
13 
Deadline (Expired)
27 June 2022

Course contents

The doctorate trains researchers with in-depth scientific preparation in the methodological basis of data science and artificial intelligence (computer science, mathematics, statistics) and its implications in various application domains. The application areas it is focused on are: medicine and life sciences, industry 4.0, society and economy, data driven science, with attention to the effects on the territory.
The teaching plan focuses in the first year on the foundations and applications of data science and AI, including some ethical and legal aspects, but also comprise courses on organizational aspects of research and analysis of the state of the art. PhD students will be made aware of the principles of research reproducibility and FAIR data. The teaching plan will be personalized on the basis of the previous study plan and the research topic pursued by the student. Scientific activity will develop in the second and third years, with a possible visiting period at research institutions of international importance.
An essential and qualifying aspect of the training is the multidisciplinary approach from a theoretical and experimental standpoint as well as the interaction with the relevant economic sectors.
The PhD program is aimed at training professionals in theoretical and applied research of excellent level on the international scene.
Page of the course on the University's website

Teaching

Place of teaching
trieste (TS), italy
Duration of the course
Nov 2022 - Oct 2025
Attendance methods
Full time
Compulsory attendance
Full time
Languages in which the course is held
English

Admission requirements

Type of degree required
2nd Level Degree
Foreign language skills
English
English (level of knowledge required: CEFR B2) tested in the interview
Other educational requirements
An Italian degree known as “Laurea specialistica/magistrale” or a degree awarded prior to approval of Ministerial Decree D.M. no. 509 of 3rd November 1999, as amended by D.M. no. 270 of 22nd October 2004 - awarded by 31st October 2022;
A foreign academic qualification - unless recognized as fully equivalent to an Italian degree - which is comparable for its duration, level and academic field to the Italian degree granting access to the PhD Course, and awarded by 31st October 2022.

Admission

Deadline
27 June 2022
Available places
15
Admission
Admission selection
Qualifications + interview
Cost
Free course
Scholarships
13
For details on places and scholarships see the link:
http://www2.units.it/dottorati/files/PhD14Concorso38.pdf

Employment opportunities

The doctorate trains researchers with in-depth scientific preparation in the methodological
basis of data science and artificial intelligence (computer science, mathematics, statistics)
and its implications in various application domains. The application areas it is focused on are:
medicine and life sciences, industry 4.0, society and economy, data driven science, with
attention to the effects on the territory.
The teaching plan focuses in the first year on the foundations and applications of data
science and AI, including some ethical and legal aspects, but also comprise courses on
organizational aspects of research and analysis of the state of the art. PhD students will be
made aware of the principles of research reproducibility and FAIR data. The teaching plan
will be personalized on the basis of the previous study plan and the research topic pursued
by the student. Scientific activity will develop in the second and third years, with a possible
visiting period at research institutions of international importance.
An essential and qualifying aspect of the training is the multidisciplinary approach from a
theoretical and experimental standpoint as well as the interaction with the relevant economic
sectors.
The PhD program is aimed at training professionals in theoretical and applied research of
excellent level on the international scene.

AlmaLaurea surveys

*Verifica se sono disponibili dati puntuali su questo percorso di studio.
Potrai comunque consultare dati relativi a percorsi di studio affini o all'ambito disciplinare cui il corso afferisce.

*Dati sul corso di studi
Notes
PhD students from foreign universities maybe admitted under joint supervision of thesis.
(in partnership with Assicurazioni Generali S.p.A. e Asac SRL)
Other editions of the same course
Academic year edition 2024/2025Academic year edition 2023/2024Academic year edition 2021/2022
Chiudi