Organization Structure of the Program

Structure of the Program

The master MD2SL is articulated in three distinct teaching blocks and a dedicated data science lab.

1. The first block, "Data Science Bootcamp", provides students with a solid knowledge of the disciplines at the base of data science (mathematics, statistics, computer programming), to ensure a homogeneous preparation of students from potentially very different backgrounds.
2. The second block consists of "Core Courses" that introduce students to the main concepts and tools of data science and data analytics.
3. The third teaching block consists of the "Elective Courses" and is designed for the acquisition of specific skills in two distinct application areas in which the Data Scientist can play a role of central importance: economics and business, or health and medical science.

The specific objectives of each block are achieved through a well-balanced mix of theoretical lectures, case study analysis, workshops, and individual and group practical activities. The latter encourages exchanges and interactions among students for a greater and deeper understanding of the topics covered.

There will be exams at the end of each module.

The qualification will be issued upon verification of attendance and after a final exam, which will consist in the presentation of a project on the application of one of the methodologies introduced during the master to real case studies, hopefully resulting from the internship experience.