Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.
Big data deals with the quantity, nature, context, consistency and quality of large data sets. A firm grasp of mathematics and computer science is required for this field of study. Results in big data have been used in the military, public finance sector, education and more.
Italy, officially the Italian Republic, is a unitary parliamentary republic within the European Union, located in Southern Europe. To the north, it borders France, Switzerland, Austria, and Slovenia along the Alps.
Top Master Programs in Big Data in Italy 2017
The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. [+]
The aim of the program is to provide profound theoretical and practical knowledge required for professional practice in artificial intelligence, computer science, logic, linguistics and cognitive science: you will learn how to develop programs that enable computers to display behaviour that can be characterised as intelligent. [+]
Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. [+]
Business Analytics and Big Data master program is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. [+]
The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. [+]