to explore how valuable information can be obtained by analyzing the vast digital footprint created by modern social interactions
Social Data Science
Discover the Power of Data
Discover the Power of Data
The Social Data Science (SDS) master’s course is a two-year program that integrates social sciences and computer science, focusing on the analysis of Big Data and the utilization of Artificial Intelligence algorithms alongside social scientific theory. It accommodates a diverse range of students, including those with varying levels of experience in computational methods and social sciences. SDS offers a strong foundation in Data Science for students with a social science background, with a primary emphasis on computational science applied to social science research. While prior exposure to quantitative methods is helpful, it’s not mandatory. The program equips students with valuable skills sought after in the job market and allows them to apply computational and statistical techniques to address important societal issues.
The Main Goal of the master’s program is to illustrate the scope of computational social sciences and their primary applications, focusing on:
to explore how valuable information can be obtained by analyzing the vast digital footprint created by modern social interactions
to highlight the significance of social networks and their impact on society
to discuss how computer simulation is used to address major contemporary social challenges
These topics are integrated in an interdisciplinary perspective, in order to equip students to tackle societal challenges in the digital age.
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
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.
Dive into the world of machine learning, where you'll learn to use algorithms that enable computers to predict human behavior and patterns.
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.
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.
The program offers e-learning with real-time interaction with instructors and the opportunity to access supplementary materials through a virtual platform.
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.
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.
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.
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.