Laurea Magistrale in Statistical Sciences

Curriculum Official statistics: per studenti immatricolati nell'a.a. 2019-20

Classes will be held in the following terms: First term (from 21/09 to 24/10/2020); Second term (from 09/11 to 12/12/2020); Third term (from 15/02 to 20/03/2021); Fourth term (from 19/04 to 22/05/2021); S (from 15/02 to 22/05/2021); CT1 (from 26/10/2020 to 22/12/2020); CT2 (from 17/02/2021 to 4/06/2021). Lesson Hours: 4 ECTS (CFU) = 24; 6 ECTS (CFU) = 30; 10 ECTS (CFU) = 60.

Primo Anno di Corso

1. Learning activities

periodo ? L'arco di tempo in cui si tengono le lezioni di un insegnamento 1: 21/09/2020 - 31/10/2020 2: 09/11/2020 - 17/12/2020 3: 15/02/2021 - 26/03/2021 4: 19/04/2021 - 29/05/2021 P: 21/09/2020 - 17/12/2020 S: 15/02/2021 - 29/05/2021 CT1: 26/10/2020 - 22/12/2020 CT2: 17/02/2021 - 04/06/2021 ssd ? Settore scientifico disciplinare a cui appartiene l'insegnamento cfu ? Crediti formativi universitari
85276 METHODS AND TOOLS FOR OFFICIAL STATISTICS: SOCIO-ECONOMIC STATISTICS 3 SECS-S/01 6
85189 SYSTEMS AND ALGORITHMS FOR DATA SCIENCE P ING-INF/05 10
85159 FUNDAMENTAL CONCEPTS OF STATISTICS P SECS-S/01 10
87479 SOCIAL DEMOGRAPHY S SECS-S/04 10
85160 STATISTICAL MODELS AND APPLICATIONS S SECS-S/01 10

2. One activity to be chosen between: (6 CFU)

periodo ? L'arco di tempo in cui si tengono le lezioni di un insegnamento 1: 21/09/2020 - 31/10/2020 2: 09/11/2020 - 17/12/2020 3: 15/02/2021 - 26/03/2021 4: 19/04/2021 - 29/05/2021 P: 21/09/2020 - 17/12/2020 S: 15/02/2021 - 29/05/2021 CT1: 26/10/2020 - 22/12/2020 CT2: 17/02/2021 - 04/06/2021 ssd ? Settore scientifico disciplinare a cui appartiene l'insegnamento cfu ? Crediti formativi universitari
85162 DIFFERENTIAL CALCULUS 2 SECS-S/06 6
85161 MEASURE THEORY 3 SECS-S/06 6

Secondo Anno di Corso

1. Learning activities

periodo ? L'arco di tempo in cui si tengono le lezioni di un insegnamento 1: 21/09/2020 - 31/10/2020 2: 09/11/2020 - 17/12/2020 3: 15/02/2021 - 26/03/2021 4: 19/04/2021 - 29/05/2021 P: 21/09/2020 - 17/12/2020 S: 15/02/2021 - 29/05/2021 CT1: 26/10/2020 - 22/12/2020 CT2: 17/02/2021 - 04/06/2021 ssd ? Settore scientifico disciplinare a cui appartiene l'insegnamento cfu ? Crediti formativi universitari
85173 ANALYSIS OF CATEGORICAL DATA 1 SECS-S/01 6
85201 INTERNSHIP
250 hours 		1 10
85199 SURVEY SAMPLING 2 SECS-S/01 6
85277 METHODS AND TOOLS FOR OFFICIAL STATISTICS: POPULATION AND HEALTH STATISTICS 3 SECS-S/05 6

2. Electives (10 ECTS) (massimo 30 CFU)

The degree programme suggests the following courses, together with those activated in the framework of the UNIBO (students can only choose courses taught in English). These subjects can be chosen at the 1 and the 2 year.
periodo ? L'arco di tempo in cui si tengono le lezioni di un insegnamento 1: 21/09/2020 - 31/10/2020 2: 09/11/2020 - 17/12/2020 3: 15/02/2021 - 26/03/2021 4: 19/04/2021 - 29/05/2021 P: 21/09/2020 - 17/12/2020 S: 15/02/2021 - 29/05/2021 CT1: 26/10/2020 - 22/12/2020 CT2: 17/02/2021 - 04/06/2021 ssd ? Settore scientifico disciplinare a cui appartiene l'insegnamento cfu ? Crediti formativi universitari
93762 ADVANCED PROBABILITY 1 MAT/06 6
92796 ADVANCED TOPICS IN STATISTICS FOR (FUZZY) SET-VALUED DATA 1 SECS-S/01 3
85177 LATENT VARIABLE MODELS 1 SECS-S/01 6
85182 BAYESIAN INFERENCE 2 SECS-S/01 6
73387 CREATIVITY AND INNOVATION M CT2 3
85169 DIFFERENTIAL EQUATIONS 2 MAT/05 6
94131 HEALTH LITERACY - LM CT2 3
92346 INFORMATION LITERACY IN LINGUA INGLESE - BOLOGNA CT2 3
94133 SCIENCE OF CLIMATE CHANGE AND CLIMATE ACTIONS CT2 3
94122 SOFT SKILLS TO BE EFFECTIVE AT WORK CT2 3
85195 MULTIVARIATE STATISTICS 3 SECS-S/01 6
87451 TIME-TO-EVENT DATA ANALYSIS 3 SECS-S/05 6
85168 DISCRETE MATHEMATICS 4 MAT/02 6
79062 ECONOMETRICS 4 SECS-P/05 6
85171 EXPERIMENTAL PSYCHOLOGY 4 M-PSI/01 6
95010 PYTHON FOR ANALYTICS 4 SECS-S/01 6
93050 SUPERVISED STATISTICAL LEARNING 4 SECS-S/01 6
90483 MODERN STATISTICS AND BIG DATA ANALYTICS P SECS-S/01 10
85194 STATISTICAL SOFTWARE P 4
87480 DEMOGRAPHIC ANALYSIS P SECS-S/04 10

2. Final examination (30 CFU)

As part of their final exam, students may choose to carry out practical and research activities within companies/institutions external to Unibo, or within Unibo laboratories. Such preparatory activities may be registered in students’ records, either on a pass/fail basis or with a grade depending on the cases, to specify the type of work carried out. For those students who will opt for the internship for the preparation on the final thesis in Italy or abroad, or the preparation of the final thesis abroad, the final exam will be divided into two parts: the final exam itself and the internship or preparation of the final thesis abroad
periodo ? L'arco di tempo in cui si tengono le lezioni di un insegnamento 1: 21/09/2020 - 31/10/2020 2: 09/11/2020 - 17/12/2020 3: 15/02/2021 - 26/03/2021 4: 19/04/2021 - 29/05/2021 P: 21/09/2020 - 17/12/2020 S: 15/02/2021 - 29/05/2021 CT1: 26/10/2020 - 22/12/2020 CT2: 17/02/2021 - 04/06/2021 cfu ? Crediti formativi universitari
85245 MASTER THESIS
If you select this activity, it means that you intend to write a thesis for which your continuous presence (in Unibo premises or at external companies/institutions) is NOT requested. 		1 30
86300 FINAL EXAMINATION 1 18
84551 INTERNSHIP ABROAD FOR PREPARATION OF THE FINAL EXAMINATION
300 hours If you select this activity, you intend to enter a competition for international mobility (e.g. Thesis Abroad, Erasmus+, etc.) or to start an internship by applying on SOL – Internship (to know more go on your degree course’s website > homepage > studying>internship for the preparation of the final thesis 		1 12
84549 INTERNSHIP FOR PREPARATION FOR THE FINAL EXAMINATION
300 hours If you select this activity, you intend to start an internship by applying on SOL – Internship (to know more go on your degree course’s website > homepage > studying>internship for the preparation of the final thesis 		1 12
84548 PREPARATION FOR THE FINAL EXAMINATION ABROAD
If you select this activity, you intend to enter a competition for international mobility (e.g. Thesis Abroad, Erasmus+, etc.). You will agree with your thesis supervisor the company/institution who will host you and the activities to carry out. 		1 12