Venerdì 13 settembre alle ore 18.30 open day online del Master di I livello in Devianza, sistema della giustizia e servizi sociali. Saranno presenti:
- il Direttore del Master Marco Terraneo
- la Coordinatrice Roberta Perego
- la Tutor Sara Mazzeo
Sarà l'occasione per scoprire il Master di I livello e per rispondere a domande e curiosità.
Autore:
admin
CURRENT PARTNERS
CURRENT PARTNERS
SOS Villaggi dei Bambini
SOS Villaggi dei Bambini si impegna affinché i bambini e i ragazzi che non possono beneficiare di adeguate cure genitoriali crescano in una situazione di parità con i propri coetanei, realizzando appieno il proprio potenziale e la possibilità di vivere una vita indipendente. È presente in Italia da oltre 60 anni e oggi opera attraverso 8 Programmi e Villaggi SOS, a Trento, Ostuni, Vicenza, Saronno, Mantova, Torino, Crotone e Milano. SOS Villaggi dei Bambini si prende cura di oltre 2.600 persone, tra bambini, ragazzi e famiglie che vivono gravi situazioni di disagio, e sostiene i diritti di oltre 47.000 bambini e giovani, protagonisti delle sue attività di Advocacy. È parte del network SOS Children’s Villages, presente in 136 tra Paesi e territori dove aiuta circa 3 milioni di persone, e del quale ospita e gestisce a livello internazionale il Programma globale di esperti sulla salute mentale e sul supporto psicosociale.
HUMANITIES AND SOCIAL SCIENCES
Social Data Science
Milano
Master 2 Level
English
24 months
blended
Vision
Social scientists are progressively gaining access to large and complex data sets. Technological innovations have made the collection of that data - by private and public sectors – an everyday norm. Advances in computer science, statistics, and artificial intelligence enable us to perform sophisticated real-time analyses in several fields, which are increasingly in demand in the job market.
The Master's course "Social Data Science" is funded by the Project FOSSR - Fostering Open Science in Social Science Research with NRRP funds, NextGenerationEU.
Mission
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.
For student new to computational methods, this is a chance to develop competencies already in demand in the job market, learning state-of-the-art skills so they can thrive in a changing, data-driven workplace.
This is also an opportunity for students new to the social sciences to see where computational and statistical skills can go with innovative applications to issues of great societal concern. The multidisciplinary content of the master's program will empower students to better address societal challenges in the digital age.
Structure
The program offers e-learning with real-time interaction with instructors and the opportunity to access supplementary materials through a virtual platform.
Teaching Organization
2500 hours of Lezione
500 hours of Stage/Project Work
Exams and Attendance
22
EXAMS
+
1
FINAL TEST
For a total of 120 CFU
REQUIRED
75 %
OF HOURS OF ATTENDANCE
Courses
- Provides a basic knowledge of social research design.
48 HOURS
6 CFU
- Provides elements of statistics and probabilities
- Use of R programming language
48 HOURS
6 CFU
- Introduces students to the fundamentals of computer programming as students design, write, and debug computer programs using the programming language Python.
48 HOURS
6 CFU
- The course introduces the student to sociology with a special focus on digital sociology (e.g.: digital communication and interaction, social media and society…)
48 HOURS
6 CFU
- The course introduces the student to DBMS, that provides methods to create, manage, and access a large volume of data
32 HOURS
4 CFU
- This course provides an introduction to the basic principles and classic themes dominating theoretical work in the social network field
- Students will learn social networks theory as well as how to do network analysis
16 HOURS
2 CFU
- Introduces students to the development of formal theories of grammar and semantics, focusing on the practical outcome of modeling human language.
48 HOURS
6 CFU
- This course provides students with the basics of logic reasoning, the challenge of causal reasoning for artificial intelligence systems
16 HOURS
2 CFU
- Introduction to NoSQL designed to handle large volumes of unstructured data, such as social media feeds, sensor data, that traditional DB may not be able to handle efficiently.
32 HOURS
4 CFU
- Introduction to BD and Artificial Intelligence, history, algorithms, supervised vs unsupervised learning, classification
32 HOURS
4 CFU
- This module introduces ML, NLP, and Generative Artificial Intelligence capable of generating new content based on patterns and rules learned from existing data (e.g.: chatGPT)
48 HOURS
6 CFU
- Uses relevant examples from social science research to cover major ML tasks including regression, classification, clustering
32 HOURS
4 CFU
- This course introduces students to social, political, economic and philosophical dimensions of data, AI, and ML
- Through a combination of lectures, seminars and exercises, this course will provide innovative socio-techncal methods for addressing their societal impacts.
32 HOURS
4 CFU
- This course provides an overview of the latest logic and tools in data visualization, including best practices for visualizing graph and statistics for predictive analytics
32 HOURS
4 CFU
- This course introduces students to key legislation and the political and ethical debates regarding data governance and security
48 HOURS
6 CFU
- This course will explore the power dynamics of data inequality, that is, the unequal access to and control over data, and its highly uneven impacts on society
32 HOURS
4 CFU
- Through a combination of lectures, seminars and exercises, this course shows how classic social and evaluation research issues can be addressed by using BD & AI models
48 HOURS
6 CFU
- This course deals with the analysis of complex networks, made possible by the availability of BD, with a special focus on the social network and its structure
32 HOURS
4 CFU
- This course focuses on the digital media contexts where data is generated as a by-product of social interaction and on new ways of combining quantitative and qualitative methods of digital inquiry and analysis
48 HOURS
6 CFU
Comitato Scientifico
Direttrice
Componenti
Davide
Bennato
Bennato
Professore associato
Mark
Coté
Coté
What skills do you gain?
Fundamental of social science research design
Element of statistics, probabilistic reasoning, R
Computer programming (Python)
Digital Sociology
Notions of Database Management Systems
Basic Social Network Analysis
Linguistic theories and computational linguistics
Logic and causal reasoning
Non-relational Database Management Systems
Artificial Intelligence Introduction
AI Algorithms
AI Algorithms for Social Science
Techno-social Data Theory
Data Visualization
Law, ethics and data governance
Data, Power and Society
BD and AI: Social and Evaluation Research
BD analytics and Social Network Analysis
Digital methods
Social Data Science
Who is it aimed at ?
RECENT GRADUATES
Sociology and Social Research, Statistics, Computer Science, and Economics.
Sociology and Social Research, Statistics, Computer Science, and Economics.
PROFESSIONALS
Sociology and Social Research, Statistics, Computer Science, and Economics.
Sociology and Social Research, Statistics, Computer Science, and Economics.
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.
Professional opportunities
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.
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.
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.
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.
Course News
CURRENT PARTNERS
CURRENT PARTNERS
CURRENT PARTNERS
Partner per l'edizione in corso - Stage
Comune di Torino - Centro Interculturale
Dipartimento Cultura, Sport, Grandi Eventi e Promozione Turistica - Divisione Cultura, Archivio, Musei e Biblioteche - Servizio Attività Culturali
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Autore:
admin
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Autore:
admin