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.
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".
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.
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.
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.
Language: English
Lenght: One Year
Credits: 60 ECTS
Students: 30
Teaching: Jan - Jul
Lectures: 416h
Open Lab (Optional):
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.
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
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