course of study

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.

At the end of the program, students will have the opportunity to apply the knowledge acquired to a 225-hour internship at one of the public or private companies, research centers and units, or local authorities that are partners of the master course. The placement in a professional setting will allow students to personally follow the phases of software design and development and the implementation of complex data analysis.

The internship activity aims to equip students with specific skills, such as:

• the ability to apply technical skills to real-world cases;

• an orientation to problem solving in the design, implementation and monitoring of specific projects;

• the ability to communicate the results of projects developed in corporate or institutional contexts;

• managerial skills useful in all phases of the development of data science and big-data analytics projects.

Scientific Director: Fabrizia Mealli, Università degli Studi di Firenze

Organizing Committee:

• Fabrizia Mealli, University of Florence (Chair)

• Andrew Bagdanov, University of Florence

• Giorgio Gnecco, IMT School for Advanced Studies Lucca

• Anna Gottard, University of Florence

• Massimo Riccaboni, IMT School for Advanced Studies Lucca

• Fabio Schoen, University of Florence

• Tiziano Squartini, IMT School for Advanced Studies Lucca

Lecturers:

• Michela Baccini, University of Florence

• Andrew Bagdanov, University of Florence

• Ennio Bilancini, IMT School for Advanced Studies Lucca

• Chiara Bocci, University of Florence

• Leonardo Boncinelli, University of Florence

• Irene Crimaldi, IMT School for Advanced Studies Lucca

• Duccio Fanelli, University of Florence

• Paolo Frasconi, University of Florence

• Carlotta Giannelli, University of Florence

• Giorgio Gnecco, IMT School for Advanced Studies Lucca

• Anna Gottard, University of Florence

• Alessandro Magrini, University of Florence

• Giovanni Maria Marchetti, University of Florence

• Simone Marinai, University of Florence

• Andrea Marino, University of Florence

• Fabrizia Mealli, University of Florence

• Francesca R. Nardi, University of Florence

• Anna Carla Nazzaro, University of Florence

• Massimo Riccaboni, IMT School for Advanced Studies Lucca

• Armando Rungi, IMT School for Advanced Studies Lucca

• Fabio Saracco, IAC CNR

• Giacomo Scandolo, University of Florence

• Fabio Schoen, University of Florence

• Marco Sciandrone, University of Florence

• Francesco Serti, IMT School for Advanced Studies Lucca

The master course will also involve lecturers and speakers from partner organizations.