Big data analytics & artificial intelligence for society
Description of Postgraduate Degree Course
General Information
Level: Second-Level
Field of study: Mathematical, Computer, Physical and Natural Sciences
Duration: Duration: 1 year
Mode of Delivery: Online
Location: Pisa
CFUs: 72
Admission application: Applications open until 15 October 2025
Start date: 13 November 2025
Website: http://www.masterbigdata.it
Italian
Italian
The postgraduate degree course in Big Data Analytics & Artificial Intelligence for Society is aimed at aspiring Data Scientists and AI Experts and offers comprehensive training to tackle the field of data analysis in various sectors, from business to medicine to advanced research.
The course provides an overview of the industry, starting with alignment courses on databases and programming, and then moving on to advanced topics such as data mining, deep learning, and information retrieval. The teaching approach is practice-oriented, with application workshops and a learning-by-doing model.
A distinctive element of the postgraduate degree course is the emphasis on social responsibility in the use of AI and Big Data: students are encouraged to reflect on the ethical implications of technologies for a positive impact on society. The postgraduate degree courses trains Data Scientists and AI Experts with multidisciplinary skills who are capable of acquiring and analysing large amounts of data and extracting insights for AI-based decisions.
The postgraduate degree course collaborates with institutions in Pisa such as ISTI-CNR, IIT-CNR, Scuola Normale Superiore, and Scuola Superiore Sant’Anna. It has also developed partnerships with over 40 companies, creating a stable bridge between university and industry.
Career opportunities
Over the last ten years, the Data Scientist and AI Expert has become one of the most in-demand profiles in the labour market, and the postgraduate degree course has distinguished itself by its ability to anticipate the employment needs of the sector, enabling career opportunities in a variety of fields, such as:
- IT companies
- consulting companies
- insurance and banking
- marketing and finance
- mobility and telecommunications
Fees
E-learning
Regular students:
4500 € payable in 4 instalments
- 1800 € no later than 03 November 2025
- 900 € no later than 15 January 2026
- 900 € no later than 15 February 2026
- 900 € no later than 15 June 2026
Online auditing students:
2250 € in a single installment
Registration fee reductions are available for 6 students as specified in the call for applications.
