Data science — Università degli Studi di Trento, Trento

Il piano degli esami

Curricula: CURRICULUM A, CURRICULUM B. Qui sotto: CURRICULUM A.

1° anno

• Big Data Technologies and Visualization — 12 CFU
• Computational social science — 6 CFU
• Data mining — 6 CFU
• Introduction to Machine Learning — 6 CFU
• Statistical Methods — 6 CFU
• Statistics for Data Science — 12 CFU
• Scegliere due attività fra le seguenti (2 attività didattiche) (scegli 2 esami): Cognitive Data Science 6 CFU; Current issues in digital media and politics 6 CFU; Law and Data 6 CFU
• Scegliere un'attività fra le seguenti (1 attività didattica) (a scelta): Language - English (C1) CFU; Language - English (C2) CFU; Seminar: Developing academic texts and presentations (for Master's degrees in Data Science and Sociology and Social Research) 3 CFU
• Attività a scelta libera (fra 1 e 999 CFU) (a scelta): Attività a scelta libera 12 CFU; Behavioural Economics 6 CFU; Bio-Inspired Artificial Intelligence 6 CFU; Cognitive Data Science 6 CFU; Computational linguistics 6 CFU; Current issues in digital media and politics 6 CFU; Data Analysis and Field Experiments 6 CFU; Deep learning Lab 6 CFU; Digital Epidemiology 6 CFU; Digital social data 6 CFU; Enterprise information system 6 CFU; Fundamental Hands on Functional Neuroimaging Analysis 6 CFU; Geospatial analysis and representation for data science 6 CFU; High Performance Computing for Data Science 6 CFU; Introduction to Computer and Network Security 6 CFU; Knowledge Graphs 6 CFU; Laboratory of Customer and Business Analytics 6 CFU; Laboratory of Internet of Things 6 CFU; Language - English (C1) CFU; Language - English (C2) CFU; Law and Data 6 CFU; Machine Learning for NLP 6 CFU; Machine Learning for NLP II 6 CFU; Machine learning 6 CFU; Network-based Data Analysis 6 CFU; Neuroimaging for Data Science 6 CFU; Research methodology - quantitative 6 CFU; Seminar: Developing academic texts and presentations (for Master's degrees in Data Science and Sociology and Social Research) 3 CFU; Statistics of Stochastic Processes 6 CFU; Studies on human behaviour 6 CFU
• Attività a scelta libera da altri corsi magistrali del Dipartimento di Sociologia e Ricerca Sociale (fra 1 e 999 CFU) (a scelta):

2° anno

• Internship — 9 CFU
• Thesis — 18 CFU
• Scegliere un'attività fra le seguenti (fra 6 e 9 CFU) (scegli tra 6 e 9 CFU): Advanced social network analysis 6 CFU; Behavioural Economics 6 CFU; Computational linguistics 6 CFU; Enterprise information system 6 CFU; Introduction to Computer and Network Security 6 CFU; Machine Learning for NLP 6 CFU; Machine learning 6 CFU; Neuroimaging for Data Science 6 CFU; Research methodology - quantitative 6 CFU; Statistics of Stochastic Processes 6 CFU; Visual brain and design 6 CFU
• Scegliere due attività fra le seguenti (12 CFU) (scegli 12 CFU): Bio-Inspired Artificial Intelligence 6 CFU; Data Analysis and Field Experiments 6 CFU; Deep learning Lab 6 CFU; Digital Epidemiology 6 CFU; Digital social data 6 CFU; Fundamental Hands on Functional Neuroimaging Analysis 6 CFU; Geospatial analysis and representation for data science 6 CFU; High Performance Computing for Data Science 6 CFU; Knowledge Graphs 6 CFU; Laboratory of Customer and Business Analytics 6 CFU; Laboratory of Internet of Things 6 CFU; Machine Learning for NLP II 6 CFU; Network-based Data Analysis 6 CFU; Studies on human behaviour 6 CFU