Master of Science in Data Science

The Master’s degree program in Data Science offers an interdisciplinary approach to gathering contributions from Engineering, Computer Science, Statistics, Economic and Organizational Sciences, as well as specific knowledge of the main Data Science application domains. In particular, the Master’s degree program in Data Science offers the necessary professional knowledge for the development of big data collection, management, processing, and analysis technologies, and the resulting translation of these into key information for the knowledge and decision-making process within innovative business and social sectors.

First-year

First semester

• Algorithmic methods of data mining and laboratory
• Fundamentals of data science and laboratory
• Statistical methods in data science and laboratory

Second semester

• Networking for big data and laboratory
• Statistical methods in data science and laboratory
• At the student's choice

Second year

First semester

At the student's choice

Second semester

• Other useful skills for inclusion in the world of work
• Final exam

Learning outcomes

The Master’s degree programme in Data Science offers an interdisciplinary approach to gathering contributions from Engineering, Computer Science, Statistics, Economic and Organizational Sciences, as well as specific knowledge of the main Data Science application domains. In particular, the Master’s degree programme in Data Science offers the necessary professional knowledge for the development of big data collection, management, processing and analysis technologies, and the resulting translation of these into key information for the knowledge and decision-making process within innovative business and social sectors.

A course of study in Data Science must meet the scientific and technological challenges related to the use of new global platforms for data storage and processing: personal, government and commercial data and their related applications leave individually owned systems for cloud-computing and cloud-storage systems with their related reliability, privacy and security problems.

The Master’s degree programme in Data Science aims at training new professionals who can contribute to increasing the efficiency and reliability of public institutions, private companies and local administrations, with particular reference to open data and their use for the development of more efficient services for companies and citizens and the optimization of resource management in urban contexts. The Master’s degree in Data Science also aims at training professionals who can work in public and private agencies with the task of inserting big data into the processes of economic and social analysis.

The interdisciplinary approach of the Master’s degree programme in Data Science and its rigorous methodology makes it suitable for students who hold a Bachelor’s degree in all fields of Information Engineering, Computer Science, and Statistics, as well as in Economics, Mathematics and Physics.

In addition to specific field knowledge, theoretical and scientific aspects are also key parts of the course catalogue, as they are necessary to describe and interpret the problems found in application contexts where Data Science innovative methodologies are developed. They are related to devising, planning, implementing and managing complex big data management and analysis systems, but also to developing testing skills and acquiring fluency in English.

The final exam, consisting of a written dissertation, is a key element of students’ education/training, as graduates can apply the knowledge and methodologies acquired in industrial, scientific, social and economic analysis fields. The final exam proves the graduate’s expertise in the area, his/her skills in working autonomously and a good communication level.

Large and middle-sized companies, Public administration, local administrations, public and private research institutes, and large companies.