Study abroad in Rome, Italy: Most popular universities for Data Science & Big Data.
Are you thinking of studying Data Science & Big Data abroad? Below you can find the most popular universities and programmes to study Data Science & Big Data in Rome, Italy. This list is based on visitors on the Studyportals websites, listing more than 150,000 English-taught Bachelor's and Master's programmes world-wide.
UNINETTUNO takes origin from the training model of NETTUNO - Network per l’Università Ovunque, a consortium of 43 Italian and foreign universities with which, since 1992, thousands of Italian and foreign students obtained a distance university degree thanks to television and the Internet.
LUISS is the first Italian University in the world heritage city of Rome, where beauty, history, and culture provide a unique environment, employment opportunities, and a memorable life experience for students.
The world's leading university rankings place Sapienza at the top of Italian universities for quality of research, education and international dimension; moreover, Sapienza excels and leads as a benchmark in many subject areas.
The University of Rome Tor Vergata is fully engaged in promoting an international dimension of studies and hence participates more and more actively in international research.
This Masters program provides a solid and modern preparation to understand and manage the multi-facet aspects of carrying out a complete data analysis, including acquisition, management, and statistical analysis.
The Data Science program at the Sapienza University of Rome offers an interdisciplinary approach gathering contributions from Engineering, Computer Science, Statistics, Economic and Organizational Sciences, as well as specific knowledge of the main Data Science application domains.
The MaBDA program prepares students to work effectively with heterogeneous, real-world data, training them to become experts in extracting useful insights for business. It provides a unique blend of information technology, mathematical, analytical, and managerial skills. The master features a project-based approach to learning and encourages the pragmatic application of a variety of different tools and methods to solve complex problems.
The Big Data in Business Master at Tor Vergata University of Rome is a one-year graduate program (Master di
II livello) designed to provide the participants with the necessary scientific,
managerial, and technical background to work, at the highest professional
level, in the area of Big Data.
The Big Data and Management programme at LUISS University prepares students to work effectively with heterogonous, large-scale, real-world data, training them to become experts in extracting useful business insights.
The Master’s Course in Applied and Industrial Mathematics at the International Telematic University UNINETTUNO aims at training professional
profiles able to take part in analysis, design, realization and management activities
in scientific and technical areas.
The most common way to assess your English level is by taking a standardised English test, such as:
PTE Academic (Pearson Test of English)
TOEFL iBT (Test of English as a Foreign Language)
IELTS Academic (International English Language Testing System)
C1 Advanced (formerly known as CAE – Cambridge English Advanced)
What makes PTE Academic stand out among these renowned English exams is the use of A.I. (Artificial Intelligence) to correct the answers of tests takers. This ensures that the results are unbiased and offer a 100% objective evaluation. Another great advantage of using A.I. is speed – results are typically available within 2 business days after taking PTE Academic.
Data Science degrees teach students to use scientific techniques to extract insights from data. Big Data studies prepare specialists who work with large collected databases, by showing students how data mining, programming, and data visualisation work, and how to make predictions. Big Data courses approach business adaptability and sustainability and help you understand markets and customer behaviour.
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