Study location	Italy, Padua
Type	Master's degree, full-time
Nominal duration	2 years (120 ECTS)
Study language	English
Awards	(Master of Science in Social Science for Digital Data)
Course code	PS2588/000ZZ/2023

Tuition fee	€2,739 per year For further information please visit: www.unipd.it/en/tuition-fees
Application fee	€30 one-time This fee is non-refundable.
Deposit	€204 one-time In order to accept your place at the University of Padua, the payment of the admission fee is required. This fee is non-refundable.

Entry qualification

Bachelor diploma (or equivalent) A minimum three-year undergraduate degree (or equivalent) in Sociology, Education and Training Sciences, Communication Sciences, Psychology, Political Science. Additional entry requirements – Entry title and GPA Please verify country-based specific entry title and GPA requirements at the following link. The entry qualification documents are accepted in the following languages: English / Italian. You can often get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents with you when you finally go to the university. If you are admitted to the degree course, you will have to submit other documents including original and translated/legalised copies of your previous qualifications, etc. No legalised documents are required at application stage.

Language requirements	English B2 level (CEFR) or equivalent certificate Please check out this link for the full list of accepted certificates, minimum scores and exemptions

Other requirements	Specific requirements for Non-EU applicants: Places for non-European candidates residing abroad: 30

More information	unipd.it/en/digital-data-society

Overview

The Master’s in Social Science for Digital Data equips students with skills in collecting, processing, and interpreting digital data across various sectors. It focuses on critical analysis of the political, economic, ethical, and societal impacts of digital data and the digital transition. The interdisciplinary curriculum spans digital sociology, computer science, philosophy, and more, covering topics like digital capitalism and surveillance. It is ideal for those pursuing careers in digital media, data analysis, or academic research on socio-technical impacts of digitalization.

Programme structure

Statistic and computer science: Text as Data; Statistics for Social and Digital Data; Basic Computer Science; Data Analysis with R; Queries and Prompting; Introduction to Phyton; Introduction to Machine Learning; Introduction to AI.

Digital Methods for Social Research: Digital Sociology; Digital Methods for a Datafied Society; Social Media.

Critical Perspectives on Digitalized Societies: Technology and Culture; Epistemology of Data: new horizons of AI; Logic and Foundations of Computability; Ethics and Artificial Intelligence; Environment and Digital; Data Artificial Intelligence and Human Knowledge; Digital Labour; Science and Technology Studies; Social Psychology in the Digital Age; Digital Politics; Sustainability and Digital Data; Building Fair Data Cultures; Health and Digital Data ; Digital Culture, Gender and Sexuality; Digital Governance and Policies.

Career opportunities

The Master’s in Social Science for Digital Data prepares professionals to critically analyze the digital society and conduct research using AI methodologies such as machine learning. Key roles include Quality Data Manager, AI Mediator, Digital Data Strategist, Digital Prompter, and Digital Social Scientist, who will ensure quality in data collection, analyze trends, and guide digital strategies.