Goals

The Main Goal of the master’s program is to illustrate the scope of computational social sciences and their primary applications, focusing on:

Digital Imprint

to explore how valuable information can be obtained by analyzing the vast digital footprint created by modern social interactions

Digital Imprint

Social Networks

to highlight the significance of social networks and their impact on society

Social Networks

Computer Simulation

to discuss how computer simulation is used to address major contemporary social challenges

Computer Simulation

These topics are integrated in an interdisciplinary perspective, in order to equip students to tackle societal challenges in the digital age.

Why Choose Us?

A multidisciplinary master’s degree that equips students with state-of-the-art social and technical expertise to analyse and interpret social data and generate insights on human behaviour and society

Digital Sociology

The program provides students with a comprehensive introduction to digital sociology. Dive into the dynamic landscapes of digital communication, interaction, and the profound impact of social media on contemporary society.

Digital Sociology

Machine Learning

Dive into the world of machine learning, where you'll learn to use algorithms that enable computers to predict human behavior and patterns.

Machine Learning

Artificial Intelligence

Study the broader field of artificial intelligence, encompassing topics like natural language processing, computer vision, and decision-making algorithms. AI plays a pivotal role in automating tasks and gaining insights from social data.

Artificial Intelligence

Data, Power, and Society

Learn the intricate power dynamics surrounding data inequality. Explore the profound consequences of unequal access to and control over data, which leaves an indelible imprint on the fabric of our society.

Data, Power, and Society

Application Features

Formula

The program offers e-learning with real-time interaction with instructors and the opportunity to access supplementary materials through a virtual platform.

Candidate Profile

The course is designed for graduates in Sociology and Social Research, Statistics, Computer Science, and Economics. Selection is based on their curriculum vitae and an interview where, in addition to motivation, their knowledge of some basic topics in social research methodology and statistics will be evaluated.

Final Title

Upon achieving a minimum attendance rate of 75% of the master's program's activity hours and successfully passing all required assessments, including the final exam, students will be awarded a total of 120 ECTS (European Credit Transfer and Accumulation System) credits and will also receive a diploma as a Second-level University Master.

Enrollment

The Master SDS has a limited number of spots (maximum of 25 participants). Interested individuals can apply online by filling out the form on the unimib.it website.

Scientific Committee

Our distinguished Scientific Committee comprises leading experts at the forefront of data science and social sciences. Committed to fostering innovation and rigor, this diverse group plays a pivotal role in shaping the academic excellence and research direction of our Master’s program.

Sonia Stefanizzi (Director)University of Milano-Bicocca
Sonia Stefanizzi (Director)University of Milano-Bicocca
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Davide BennatoUniversity of Catania
Davide BennatoUniversity of Catania
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Mark CotéKing's College London
Mark CotéKing's College London
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Giovanni GiuffridaUniversity of Catania
Giovanni GiuffridaUniversity of Catania
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Francesco Mazzeo RinaldiUniversity of Catania
Francesco Mazzeo RinaldiUniversity of Catania
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Andrea Orazio SpinelloCNR
Andrea Orazio SpinelloCNR
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SDS Master at the glance

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