Corso attualmente non disponibile

Dottorato di ricerca

A Pisa ()

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Descrizione

  • Tipologia

    Dottorato di ricerca

Data has been labeled the new oil, the new gold and the new currency of our era. Born at the intersection of computer science, engineering, statistics and applied mathematics, Data Science is a new, pervasive paradigm that promises to turn ever growing amounts of heterogeneous and complex data into knowledge. Exploiting sophisticated data analysis techniques and scalable computing infrastructures, Data Science is rapidly changing communication, business and policy making. It is also profoundly changing scientific research – where top-down, model-driven approaches are supplemented with bottom-up, data-driven ones. In disciplines as diverse as sociology, economics, biology, medicine and physics, data are no longer used exclusively to validate existing theories and models; massive datasets are also mined to discover patterns, “learn” predictive models and suggest new theories.

The Ph.D. in Data Science leverages a critical mass of faculty, laboratories and pioneering projects accumulated in the Pisa area since the early 2000’s. As a consortium across the University of Pisa, the ISTI and IIT institutes of the CNR, and the Scuola Normale, Scuola Sant’Anna and IMT (Lucca), the Ph.D. is distinctly poised to support interdisciplinary, data-driven research and innovation within an ethical framework of transparency, privacy and responsibility. The program is unique in its kind; it will train a new generation of researchers combining domain competences (e.g., in the social, physical and life sciences) with Data Science skills – including methods and technologies for harvesting, mining, analyzing, visualizing and narrating data, a deep understanding of their legal and ethical implications, and of the social impact of Data Science.

Profilo del corso

Within this context, the Ph.D. in Data Science is aimed at educating the new generation of researchers that combine their disciplinary competences with those of a “data scientist”, able to exploit data and models for advancing knowledge in their own disciplines, or across diverse disciplines. To this purpose, the Ph.D. in Data Science develops a mix of knowledge and skills on the methods and technologies for the management of large, heterogeneous and complex data, for data sensing (how to harvest data), for data analysis and mining (how to make sense of data), for data visualization and storytelling (how to narrate data), for understanding the ethical issues and the social impact of Data Science.

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Opinioni

Materie

  • Data science
  • Manufacturing
  • Health
  • Web master
  • Management
  • Analisi dati
  • E-business
  • Data
  • Data management
  • Data semantics
  • Servizi

Programma

The Ph.D. students will have the opportunity of developing data science projects in a variety of domains, including:
Data science for society and policyData science for economics and financeData science for culture and the humanitiesData science for industry and manufacturingData science for biology and healthData science for the hard and environmental sciencesData science ethics and legal aspectsData science techniques and methods

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Data Science

Prezzo da consultare