Computer Science and Artificial Intelligence

What is the objective of the course? What is it?
What does it train you for?

The Master's Degree Program in Computer Science and Artificial Intelligence is the preferred choice for students graduating from undergraduate programs in Computer Science and Artificial Intelligence, although it also welcomes students from other courses.

Delivered entirely in English, it facilitates entry into the workforce for professions increasingly geared towards interaction with international teams and provides skills that reflect current market demands.

Through a suitable combination of the offered teachings with recommended elective subjects, students will have the opportunity to specialize their course of study in one of three main areas: 1 Cybersecurity (CB), with skills in cryptography, data security, applications, and systems, which are now widely required for the profession of Computer Scientist; 2 Artificial Intelligence (AI), to become professionals with niche skills in a reality increasingly oriented towards the application of Artificial Intelligence in various contexts; 3 Methodologies (MT), for those who intend to specialize in the field of research and teaching.

Compared to the previous degree level, through the proposed educational path, students will acquire a much higher "problem-solving" ability, as well as a much deeper understanding of the scientific, methodological, and applicative contents at the base of Computer Science and Artificial Intelligence.

What do you learn?

Students will acquire in-depth knowledge in the field of Cloud Computing and the management of large amounts of data; they will deepen the methodological skills already acquired from the previous course through the study of compilers, probabilistic algorithms, combinatorics, data compression, knowledge representation, and reasoning; they will develop very deep technological skills on the most current frameworks in the field of Big Data, Artificial Intelligence, and Cybersecurity.

• FIRST YEAR: Combinatorial and Probabilistic Algorithms (MT, AI) Big data management (AI) Languages and compilers design (MT) Pattern discovery for life sciences (MT, AI) Knowledge representation and reasoning (AI) Data encryption and codes (CB) Information theory and data compression (MT) Language option Elective Subjects;
• SECOND YEAR: Optional teachings* Cloud and high-performance computing Cybersecurity (CB) Deep learning (AI);
• *OPTIONAL TEACHINGS: Information retrieval and natural language processing (AI) Open data management Nature Inspired Algorithms for Optimization (AI);
• RECOMMENDED ELECTIVE SUBJECTS: IoT and cloud security (CB) Methodologies and Teaching Techniques for Computer Science (MT) Wireless Networks (CB) Foundations of Circular Economy (MT) Stochastic Processes and Stochastic Networks C.

What can you do with it?

At the end of the training course, graduates in Computer Science and Artificial Intelligence will be able to obtain the open badge in Data Science issued by the University of Palermo, which certifies that they have acquired the skills and competencies to fill the role of Data Scientist.

They can be hired as analysts and software designers in companies producing goods and services, in public or private organizations, with profiles for which the specific skills acquired (e.g. , Cybersecurity, Artificial Intelligence, etc.) are of particular importance.

They can find employment as researchers and graduate technicians in mathematical and information sciences in private and public research centers, as well as in institutions dealing with education and universities.