Educational plan


These educational plans and programme descriptions refer to the A.Y. 2026/2027
Computational social and political science (Classe LM-62 R/LM-88 R )
Enrolled in a.y. 2026/2027 (BBN)
Compulsory
Courses or activities Max ECTS Total hours Language Lesson period SSD
Advanced Multivariate Analysis 6 40 English Second trimester STAT-03/B
Data Governance: Ethical and Legal Issues 6 40 English First trimester GIUR-17/A
Foundations of Statistical Modelling for Social and Political Sciences 9 60 English First trimester STAT-03/B
Policy Design 6 40 English Third trimester GSPS-02/A
Programming for Social Data Science 6 40 English First trimester GSPS-02/A INFO-01/A
Research Design & Experimental Methods in the Social Sciences 12 80 English Second trimester GSPS-05/A
Survey Methods for Public Opinion Research 9 60 English Third trimester GSPS-07/A
Optional activities and study plan rules
1 - Students must earn 6 credits/ects for Elective substantial course
be activated by the A.Y. 2027/2028
Compulsory
Courses or activities Max ECTS Total hours Language Lesson period SSD
Agent-Based Modelling 6 40 English Undefined GSPS-05/A
Causal Inference in Social and Political Science 6 40 English Undefined GSPS-02/A
Social Network Analysis 6 40 English Undefined GSPS-05/A
Text Analytics and Machine Learning and Large Language Models 12 80 English Undefined GSPS-02/A INFO-01/A
Final Exam 15 0 English Undefined NN
Optional activities and study plan rules
2 - Students must earn 6 credits/ects for Elective substantial course
3 - Italian students or students with a certificate in Italian at level A2 or above must acquire 9 ECTS from an internship in the private sector, in government or public administration organisations or in academic institutions (including departmental laboratories and centres). Students who do not have a certificate in Italian at level A2 or above must acquire 3 ECTS of Italian language provided by the University Language Centre (SLAM), which reduces the ECTS for an internship to 6 ECTS.
Computational social and political science (Classe LM-62 R/LM-88 R )
Enrolled in a.y. 2025/2026 (BBN)
course year not available
Compulsory
Courses or activities Max ECTS Total hours Language Lesson period SSD
Advanced Multivariate Analysis 6 40 English Undefined SECS-S/05
Data Governance: Ethical and Legal Issues 6 40 English Undefined IUS/20
Foundations of Statistical Modelling for Social and Political Sciences 9 60 English Undefined SECS-S/05
Policy Design 6 40 English Undefined SPS/04
Programming for Social Data Science 6 40 English Undefined INF/01 SPS/04
Research Design & Experimental Methods in the Social Sciences 12 80 English Undefined SPS/07
Survey Methods for Public Opinion Research 9 60 English Undefined SPS/11
Optional activities and study plan rules
1 - Students must earn 6 credits/ects for Elective substantial course
Compulsory
Courses or activities Max ECTS Total hours Language Lesson period SSD
Agent-Based Modelling 6 40 English Second trimester SPS/07
Causal Inference in Social and Political Science 6 40 English First trimester SPS/04
Social Network Analysis 6 40 English First trimester SPS/07
Text Analytics and Machine Learning and Large Language Models 12 80 English First trimester INF/01 SPS/04
Final Exam 15 0 English Undefined NN
Optional activities and study plan rules
2 - Students must earn 6 credits/ects for Elective substantial course
3 - Italian students or students with a certificate in Italian at level A2 or above must acquire 9 ECTS from an internship in the private sector, in government or public administration organisations or in academic institutions (including departmental laboratories and centres). Students who do not have a certificate in Italian at level A2 or above must acquire 3 ECTS of Italian language provided by the University Language Centre (SLAM), which reduces the ECTS for an internship to 6 ECTS.
Courses or activities Max ECTS Total hours Language Lesson period SSD
Additional Language Skills: Italian (3 ECTS) 3 0 Italian Undefined NN