The DASAI advanced training course is aimed at first-level graduates in statistics, economics, finance, and engineering. It is designed to provide participants with advanced skills in data analysis and the most innovative technological tools, preparing them for leadership roles in a world oriented towards data-driven decision-making.
In an era dominated by Industry 4.0, social media, and Big Data, companies and institutions are increasingly relying on scientific methods to interpret large amounts of data and predict market and social trends. The program focuses on developing the ability to critically analyze data, an essential element for making informed strategic and management decisions. Participants will acquire advanced skills in cutting-edge computational and statistical methods, with a particular focus on the applications of generative artificial intelligence in various fields.
DASAI awards 20 university training credits (CFU).
The course lasts 10 weeks for a total of 160 hours. Lessons will be held in person or remotely.
The admission requirements are met for graduates in possession of:
The Advanced Training Course has a limited number of places, with a maximum of 30 participants and a minimum of 12 participants.
Admission is based on qualifications and the selection of candidates will be carried out by an Evaluation Committee composed of professors chosen from the course’s Teaching Staff.
The specially appointed Evaluation Commission will proceed to evaluate the required qualifications. If the number of candidates exceeds 30 (thirty), the Commission will proceed with the selection based on the evaluation of the qualifications.
The registration fee is €1,400.00, plus €16.00 in virtual stamps (for more information, see the announcement).
Applications must be submitted exclusively using one of the following methods: certified email, registered mail with acknowledgement of receipt, or hand delivery to the Department Secretariat (for further information, see the announcement).
| TITOLO DEL MODULO | GSD | CFU | RE LEZIONE |
| Databases, Internet Technology & Programming | 13/STAT-04 | 3 | 24 |
| Visual Analytics | 13/STAT-02 | 2 | 16 |
| Statistical and Machine Learning | 13/STAT-02 | 3 | 24 |
| 13/STAT-04 | 2 | 16 | |
| Text Mining & Analytics | 13/STAT-02 | 2 | 16 |
| Deep Learning | 13/STAT-04 | 1 | 8 |
| Data Analytics for Banking and Insurance | 13/ECON-09 | 1 | 8 |
| AI, Ethics and Society | 12/GIUR-05 12/GIUR-01 | 1 | 8 |
| Generative AI per l’Azienda | 13/STAT-02 13/STAT-04 | 2 | 16 |
| Business Strategy | 13/ECON-07 | 2 | 16 |
| Megatrends e analisi economica | 13/ECON-02 | 1 | 8 |
| TOTAL | – | 20 | 160 |
The courses will be taught by in-house professors at Parthenope University and by professionals in the fields of Data Science and Artificial Intelligence.
COURSE DIRECTOR
Prof. DE LUCA Giovanni giovanni.deluca@uniparthenope.it
DISAQ Administrative Secretariat
direzione.disaq@uniparthenope.it
Palazzo Pacanowski
Via Generale Parisi, 13 – 4th Floor
80132 Napoli
Contacts
Email: direzione.disaq@uniparthenope.it
Certified Mail: disaq@pec.uniparthenope.it
