Engineering and architecture
Artificial Intelligence and Cybersecurity Engineering
The course
This master's degree program awards one of the most sought-after qualifications in the world for work, professions and research.
The aim of the course is to train professionals capable of using statistical, machine learning, artificial intelligence and cybersecurity techniques within IT companies and public and private administrations, including scientific and technological research bodies or institutes, in particular with regard to the acquisition, management, processing, analysis and use of large amounts of data in a safe, intelligent way and by exploiting the new opportunities offered by quantum computing and also by effectively supporting experts in specific application sectors.
Why join?
Regulations and students' opinion
See student opinionsCalendar of activities
Connect to Agenda WEB of the University of Enna “Kore” and view the timetable and classrooms of lessons and exams.
Teachers
Student Representatives in the Degree Course Council
Vecchio Alfredo
Giocchino Maria Pio
Fanara Giovanni
Secretariat
The course’s teaching office is located in building F (LEDA) in C.da Santa Panasia and is open to the public at the following times:
morning: Monday to Friday from 9:00 to 12:00
afternoon: Tuesday and Thursday from 3:30 pm to 5:00 pm
address email degree course: informatica@unikore.it
Review Group
| Class | Coordinator | AQ Responsible Teacher | TA Staff | Student |
|---|---|---|---|---|
| LM-32 | Vincent Conti | Nicole Cilia | Maria Teresa Tornabene | Giuseppe Capizzi, Luigi Pio Faletra |
Tutor
The Tutor has an interface role between teachers and students and takes care of, according to the general guidelines of the Department Director and the Degree Course Coordinators, specific initiatives within the teaching activities of the teaching structures. Therefore, he/she carries out support activities for what concerns the optimization of learning processes: for example, he/she provides students with indications and suggestions concerning, among other things, the organization of study times, learning methodologies, planning of evaluation phases, design and drafting of the degree thesis, use of commonly used and advanced software.