... the UNINA master in a nutshell ...

The UNINA master in Data Science was established in 2019 and it was structured accordingly to the philosophy outlined in here in order to quickly adjust to a rapidly evolving scenario. Every year new methods are implemented, new fields of application emerge, new technological infrastructures and platforms are deployed. The master is therefore structured in two parts. The first year aims at teaching all fundamental methodologies: programming in Python and R, data base managements and techniques to handle big data, computer networks, data mining, advanced statistics and with the only course in Italy on Theory and Ethics of Big Data. Emphasis is put in combining theory and practice in order to render the student familiar with the most important methods and tools in data science.

In all courses much attention is paid to showcase real applications and to develop the capability to work in teams. Exams usually consist on the presentation and discussion of the outcomes of these projects (see here for a few examples of completed projects). Whenever possible students are encouraged to participate into national or international contests such as those proposed by Kaggle or other companies (ex. the Fater Group).

The courses are complemented by the Picariello lectures: weekly seminars aimed at introducing the students to the various aspects and problems of data science. Past lectures can be watched on the specific YouTube channel.

The second year is instead oriented to acquire familiarity with at least one domain of application. The student will follow courses where he will understand the main problems of the choosen field and will learn its specific language. The second year is articulated in four curricula which, however, need to be considered with some flexibility. Data science is in fact a rapidly evolving field and exams can be added or changed accordingly to the trends and ever chaniging scenarios. Individual curricula are possible even though they must be first discussed with the coordinator of the master or with a professor expert in the field.

The master is completed by a 3-6 months long internship at a company, researvh institute or academic institution. Read here for more information. In some cases these internships/stages are paid. The final exam, where the candidate discusses the outcome of his work (thesis/internship/stage), is held accordingly to the published calendar. If you wish to look at the quality of the works discussed by some of our students you can look here.

Click to know more about the learning plan.