Courses

Due to the Covid19 emergency, courses will be held in E-learning mode.

 

First Year

CourseProfessorCfuTermWhenHow
Data AnalysisBozzon Rossella (Unimi)
Dotti Sani Giulia Maria (Unimi)
Vegetti Federico (Unimi)
121stFrom Sept. 23 (for 80 hrs)
Two thirds of the course will take place in the classroom (booking is compulsory using the app). Students who don't book a seat will be able to follow the class remotely. The remaining third will be held remotely with non-synchronous classes.
Analytics for Complex Organizations - Module I Solari Luca (Unimi) 31stFrom Sept. 23 (for 20 hrs)E-learning (Schoology and Zoom)
Behavioural SociologySquazzoni Flaminio (Unimi)91stFrom Sept. 23 (for 60 hrs)E-learning (Zoom)
Data Access and Regulation - Module IOrofino Marco (Unimi) 61stFrom Sept. 22 (for 40 hrs) E-learning (Teams)
Digital Cultures and Communication ResearchGandini Alessandro (Unimi)61stFrom Sept. 23 (for 40 hrs)E-learning (Zoom)
Data Access and Regulation - Module IIDe Angelis Andrea (University of Lucerne) 32ndJan 18-29, from Monday to Friday (10:30-12:30, for 20 hrs).E-learning
Data Access and Regulation - Module IIIFahey Robert (Waseda University - Tokyo) 32ndFebr. 8-23, from Monday to Friday (9:00-11:00, for 20 hrs). Carnival holidays on Febr. 18-19.E-learning
Analytics for Complex Organizations - Module II
(in the course Digital HR and analytics)
Nedkovski Vojkan (Unimi)33rd
Multivariate Analysis for Social Scientists Negri Fedra (Unimi)
Genovese Federica (Essex University)
93rdApr. 12 - June 15. E-learning (Teams)
Social and Political AttitudesCristiano Vezzoni (Unimi)63rd

 

Second Year

CourseProfessorCfuTermWhenHow
Policy Design Analysis and Evaluation - Module IDamonte Alessia (Unimi) 81stFrom Sept. 23 (for 60 hrs)E-learning (Teams)
Policy Design Analysis and Evaluation - Module IIDinas Elias (European University Institute) 42ndJan. 11-22, from Monday to Friday (10:30-12:30, for 20 hrs). Notice: Jan. 15 (16.00-18.00).E-learning
Big Data Analytics - Module ICurini Luigi (Unimi)
62ndJan. 11-12-18-19-25-27; Febr. 1-2-8-10-15-16-22-23; Mar. 1-2-8-9-15-16 (14.00-16.00, for 60 hrs.)E-learning
Big Data Analytics - Module IIFahey Robert (Waseda University - Tokyo)32ndMar. 1-12, from Monday to Friday (09:00-11:00, for 20 hrs).E-learning

 

To complete the MA program, students have also:

  • To select one extra free course (9 cfu) or a set of workshops/laboratories (e.g., Introduction to Python, Analytical Lobbying, Data Visualitazion). Notice that laboratories usually grant 3 cfu, thus students have to pass 3 laboratories to totalize the needed 9 cfu. We suggest attending these extra free course or workshops/laboratories in the 2nd term of the first year.
  • To actively take part to a stage (about 230 hrs – 9 cfu).
  • To work on their MA thesis (Final exam – 21 cfu).