Università degli Studi di Napoli Federico II

Master in Data science

Napoli, Italy 2 years Taught in English Open to international students

Why students choose this program

  • Taught in English
  • No application fee

About Master in Data science

Data Science is a two-year master's degree taught in English at Università degli Studi di Napoli Federico II in Napoli, Italy. The field focuses on extracting knowledge and insight from data, combining statistics, computer science, and domain expertise to analyze large and complex datasets. Students typically study statistical methods, machine learning, database systems, and programming, along with the mathematical foundations that underpin data analysis techniques. Coursework often extends into areas such as data visualization, big data infrastructure, natural language processing, and the ethical and privacy considerations that arise when working with large volumes of personal or sensitive data. Because data science is applied across many industries, students in this field generally work on projects drawn from varied domains, developing practical experience building models and pipelines that turn raw data into usable information. Programming and computational coursework are a central part of most data science curricula, alongside statistical theory and applied problem-solving. Graduates typically pursue careers as data analysts, data scientists, and machine learning engineers across sectors including technology, finance, healthcare, and the public sector. Others continue into further graduate study or doctoral research in computer science, statistics, or a related quantitative field. Napoli's established faculties in mathematics and engineering at Federico II provide an academic base for this programme, situating it within a broader tradition of quantitative and computational study. Delivered entirely in English, the master's degree is designed for both Italian and international students who want graduate-level training in the statistical and computational methods that define modern data science practice.

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