Artificial intelligence and data engineering
Course Description
Level: Second Level Degree
Degree Class: LM-32 - Computer systems engineering
Department: INFORMATION ENGINEERING
Admission: Free
CFUs: 120
Duration: 2 years
English
Pisa
Content in Italian
I requisiti curriculari per l'accesso alla Laurea Magistrale sono i seguenti:
- possesso di una laurea nelle seguenti classi:
--- L-8 Ingegneria dell'Informazione
--- L-30 Scienze e tecnologie fisiche
--- L-31 Scienze e tecnologie informatiche
--- L-35 Scienze matematiche
- possesso di una laurea in altra classe, avendo conseguito
--- almeno 36 CFU negli SSD: MAT/02, MAT/03, MAT/05, MAT/06, MAT/07, MAT/08, MAT09, FIS/01, FIS/03;
--- almeno 9 CFU negli SSD: ING-INF/05, INF/01;
--- almeno 9 CFU negli SSD: ING-IND/35; SECS-P/08
Per i candidati con titolo di studio acquisito all'estero e riconosciuto idoneo, la verifica dei requisiti viene effettuata sulla base dello specifico percorso formativo del candidato.
È inoltre richiesta una adeguata conoscenza della lingua inglese almeno di livello B2, secondo il Quadro Comune Europeo di riferimento per le Lingue.
La verifica della preparazione personale è effettuata sulla base del curriculum di studi del candidato, e può prevedere un colloquio orale.
For admission to the Master’s Degree Course in Artificial Intelligence and Data Engineering (Class LM-32) students require a Bachelor’s degree or another qualification obtained abroad and recognised as suitable. The applicant is required to submit an application along with attachments, including at least the degree certificate, or its equivalent, and the examination transcripts.
Based on the criteria illustrated below, the curricular requirements and the adequacy of personal preparation for access to the Master’s Degree Course are established in accordance with art. 6, paragraph 2, of Ministerial Decree 270/2004.
Admission to the Master’s Degree Course in Artificial Intelligence and Data Engineering Class LM-32 is decided on the basis of the existence of both (curricular and preparation) requirements. The Course Board appoints an Evaluation Instruction Panel (Commissione Istruttoria di Valutazione, CIV), consisting of two or more lecturers tasked with:
- reviewing applications for admission,
- assessing candidates’ CVs,
- checking whether candidates meet curricular and personal requirements,
- proposing to the Course Board the admission or non-admission of candidates,
- indicating how the missing requirements can possibly be met.
Alternatively, the candidate, who graduated from an Italian university, meets the curricular requirements if:
1) They possess a degree in the following classes: L-8 Information Engineering; L-30 Physics; L-31 Computer Science; L-35 Mathematics;
2) They possess a degree in another class, having obtained:
- at least 36 CFUs in the following SSDs (academic disciplines): MAT/02, MAT/03, MAT/05, MAT/06, MAT/07, MAT/08, MAT09, FIS/01, FIS/03;
- at least 9 CFUs in the following SSDs (academic disciplines): ING-INF/05, INF/01;
- at least 9 CFUs in the following SSDs (academic disciplines): ING-IND/35; SECS-P/08
If a candidate possesses a foreign degree, the CIV Panel will review the curricular requirements by considering the duration of each course and the content of the corresponding exams.
Proficient knowledge of English at least at level B2, according to the Common European Framework of Reference for Languages, is also required. The possession of such requirement can be certified by students at the time of enrolment or, if no certification is available, it will be verified during the admission application review when assessing the student’s personal preparation.
In accordance with the University Academic Regulations, the CIV Panel:
- may propose to the Course Board to either accept or reject the candidate’s application based on the evaluation of the documents submitted with the application for admission,
- may propose to the Course Board that the candidate be referred to the admission interview in accordance with the procedure described below.
Admission interview
The purpose of the admission interview is to confirm that the candidate has the required preparation to effectively undertake their Master’s studies, especially regarding fundamental knowledge of mathematics and computer engineering. The interview programme, as determined by the CIV Panel, will be communicated to the candidate in advance by the president of the Course of Study.
At the end of the interview, the selection board will formulate a final judgement on the candidate’s suitability for admission, highlighting any missing requirements.
Evaluation
Contacts
Presidente del Corso di Laurea
Marco Avvenuti
Email: marco.avvenuti@unipi.it
Referente didattico
Barbara Conte
Tel. (+39) 050 2217642
Email: barbara.conte@unipi.it
Unità Didattica del Dipartimento di Ingegneria dell'Informazione: https://www.dii.unipi.it/didattica
Orario di ricevimento: Previo appuntamento telefonico (+39) 050 2217642/692 o via e-mail: didattica@dii.unipi.it
Study Plan
For students enrolled in the academic year 2026/2027
Required
- Optimization methods and game theory (6 CFU) - Primo ciclo semestrale
- Business and project management (9 CFU) - Secondo ciclo semestrale
- Cloud computing (9 CFU) - Secondo ciclo semestrale
- Data mining and machine learning (12 CFU) - Primo ciclo semestrale
- Large-scale and multi-structured databases (9 CFU) - Primo ciclo semestrale
Gruppo a attivita affini o integrative (15 CFU)
- Internet law (6 CFU) - Ciclo annuale unico
- Performance evaluation of computer systems and networks (9 CFU) - Primo ciclo semestrale
- Statistics (6 CFU) - Primo ciclo semestrale
- Algorithms and data structures (6 CFU) - Secondo ciclo semestrale
- Databases (9 CFU) - Secondo ciclo semestrale
- Distributed systems and middleware technologies (6 CFU) - Primo ciclo semestrale
- Foundations of cybersecurity (9 CFU) - Secondo ciclo semestrale
- Innovation management (6 CFU) - Secondo ciclo semestrale
- Internet of things (9 CFU) - Secondo ciclo semestrale
- Methods of biomedical image formation and processing (6 CFU) - Primo ciclo semestrale
- Mobile and social sensing systems (6 CFU) - Secondo ciclo semestrale
- Programming laboratory (6 CFU) - Primo ciclo semestrale
- Computer networks (9 CFU) - Primo ciclo semestrale
- Robotics and intelligent machines (6 CFU) - Secondo ciclo semestrale
- Operating systems (9 CFU) - Primo ciclo semestrale
Required
- Information retrieval and language technologies (9 CFU)
- Deep learning and vision (6 CFU)
- Final examination (24 CFU)
- Process mining and intelligence (6 CFU)
- Symbolic and evolutionary artificial intelligence (6 CFU)
Free activity (9 CFU)
Career opportunities
Enrolment
- a university degree recognised as suitable under current legislation
- the curricular requirements specified in the regulations of the degree courses
- adequate personal preparation, assessed according to the procedures defined in the regulations of the degree course.
Pre-registration for the academic year 2027/2028