Training objectives, learning contents and organization of the activities
This Specializing Master’s programme aims to train young graduates to the use of digital technologies: data management, implementation of artificial intelligence and machine learning techniques, usage of Cloud Services and techniques.
The programme benefits from Reply experience in this sector with many projects realized. As a consequence, the programme offers its participants a unique opportunity to get involved in high-level projects under Reply’s experts guidance.
The programme is structured into three specialization fields among which students have to choose: AI: Data Management (Data Engineering & Data Science), AI: Machine Learning and Cloud”.
The 2nd level specializing Master is a full time programme of approximately one academic year duration for a total of 60 ECTS; it will start in January 2021 and end in December 2021.
The 2nd Level Specializing Master’s programme is organized as follows:
- 9 compulsory courses – 26 credits
- 1 specialization to choose among 3 – 14 credits
- Project work – 250 hours, 10 credits
- Final thesis – 250 hours, 10 credits
| COMPULSORY COURSES | ECTS | HOURS | TEACHER |
| Advanced data bases | 3 | 30 | Paolo Garza |
| AI and ML (theory and models) | 3 | 30 | Santa di Cataldo |
| Cloud Infrastructures and networks | 3 | 30 | Fulvio Risso |
| Security | 3 | 30 | Antonio Lioy |
| Advanced programming | 4 | 42 | Giovanni Malnati |
| Software engineering / Microservice architectures | 4 | 42 | Maurizio Morisio |
| Security - Lab on Attack/Defense | 2 | 21 | Antonio Lioy |
| Blockchain | 2 | 21 | Fabrizio Lamberti |
| Quantum | 2 | 21 | Bartolomeo Montrucchio |
| 26 | 267 | ||
| Specialization: Cloud | |||
| Specialization Cloud | 3 | 30 | Fabrizio Lamberti |
| CLOUD implementations within the major vendor solutions | 11 | 111 | Fabrizio Lamberti |
| Specialization: AI/ML | |||
| Specialization AI/ML | 3 | 30 | Barbara Caputo |
| MACHINE LEARNING as implemented within the major vendor solutions | 11 | 111 | Barbara Caputo |
| Specialization: AI/Data | |||
| Specialization AI/Data | 3 | 30 | Paolo Garza |
| Classifiers, recommendation and anomaly detection method as implemented within the major commercial solutions | 11 | 111 | Paolo Garza |
| 14 | 141 | ||
Classes are held in presence at Politecnico di Torino, Lingotto campus – starting in January 2021 and ending in July 2021.
Politecnico di Torino defined specific operational procedures concerning the measures against the spread of COVID-19 that are constantly updated according to the provisions of the Italian Authorities on this matter (please refers to http://www.coronavirus.polito.it).
In case the situation get worse significantly, or a new lockdown should be imposed by the Italian Authorities, classes will continue remotely, on the Politecnico’s digital platform (on synchronous basis with possibility to register classes to make these available on asynchronous basis).
Politecnico di Torino defined specific operational procedures concerning the measures against the spread of COVID-19 that are constantly updated according to the provisions of the Italian Authorities on this matter (please refers to http://www.coronavirus.polito.it).
In case the situation get worse significantly, or a new lockdown should be imposed by the Italian Authorities, classes will continue remotely, on the Politecnico’s digital platform (on synchronous basis with possibility to register classes to make these available on asynchronous basis).
The official language of the programme is English.
