Master in Big Data Analytics & Social Mining

The Master in Big Data of the University of Pisa is an annual course to become data scientists.

Designed for graduates of all disciplines, it provides the tools to work in the area of data analysis applied to all fields, from business to research.

In an increasingly connected society, big data record individual and collective behaviors with unprecedented accuracy. They are changing science and business, so that someone talks about a real revolution, and are becoming a key resource, the oil of the future.

To manage this flow of information and exploit it in the best way, we need an ad-hoc professional.

The Master in Big Data aims at training data scientists, professionals with a mix of multidisciplinary skills, which allow not only acquiring data and extracting knowledge, but also telling stories through these data and managing their ethical and legal implications.

Postgraduate master

The Master in Big Data of the Pisa University is a postgraduate master, addressed to who have a master's degree. The course lasts one year and aims to train new data scientists: according to The Economist "the sexiest job of the 21st century".

Open to all disciplines

The Master is open to graduates of all disciplines who are interested in the topic of Big Data and Data Science, and want to work in this field. It is also suitable for workers who want to acquire new expertise in order to improve their working position.

Theoretical and practical lectures

In addition to lectures, students attend seminars on the use of big data in industrial and innovation processes held by our industrial partners. The second part of the course implies internships and bootcamps at partner companies and institutions, under the supervision of corporate and academic tutors.

Provides a complete vision

The master is not focused on a specific application of data science, but ranges from business to research, in order to allow students to acquire expertise in the sector they prefer, according to their previous educational path and their aspirations.

In Brief

    Language: English

    Lenght: One Year

    Credits: 60 ECTS

    Students: 30

    Teaching: Jan - Jul

    Lectures: 416h

  • Thu (14-18)
  • Fri (9-18)
  • Sat (9-13)

    Open Lab (Optional):

  • Mon (9-18)
  • Tue (9-18)
  • Wed (9-18)
  • Thu (9-13)

    Stage: 500h Sep - Dec

    Fee: 4000 


Aggiornamento: il termine per le iscrizioni e' stato prorogato al 6 Dicembre.
Update: the deadline has been extended to December 6th.

Per l'anno accademico 2022-2023 lo svolgimento delle attività didattiche è previsto esclusivamente in presenza.
For academic year 2022-2023 the teaching activities will be in presence.



Social and Economic Innovation

Big Data for
Social Good

Mobility Analysis using Mobile Phones Records, GPS Tracks, Smart-City Sensors, etc. Diffusion of Opinions, Reputation, Sentiment and Engagement in Social Media. Big Data and Official Statistics

Big Data
for Business

Big Data in Finance and Economics, Recommendation Systems, Novel CRM Applications, Data Journalism and the use of Big Data in Electronic Publishing

Technologial & Scientific Areas

Big Data

Data Management for Business Intelligence, High Performance and Scalable Analytics, NoSQL Big Data Platforms
Big Data Sensing
& Procurement

Analytical Web Crawling, Web Search and Information Retrieval, Text Annotation, Big Data Sources and Crowdsensing
Big Data

Data Mining, Machine Learning, Social Network Analysis, Web Mining, Nowcasting, Sentiment Analysis
Big Data
Story Telling

Visualization, Visual Analytics and Data Jurnalism
Big Data

Privacy-by-Design, EU Data Protection Regulation, Data Scientist's Responsibility