Vai alla Homepage del Portale di Ateneo Second Cycle Degree/Two Year Master in Statistical Sciences

Curriculum Official statistics: for students enrolled in the a.y. 2022-2023

Lesson Hours: 4 ECTS (CFU) = 24; 6 ECTS (CFU) = 30; 10 ECTS (CFU) = 60.

First Year

1. Mandatory courses

Period ? The period in which lectures are held 1: 19/09/2022 - 27/10/2022 2: 07/11/2022 - 16/12/2022 3: 13/02/2023 - 24/03/2023 4: 17/04/2023 - 27/05/2023 A: 19/09/2022 - 27/05/2023 P: 19/09/2022 - 16/12/2022 S: 13/02/2023 - 27/05/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
85276 Methods and Tools for Official Statistics: Socio-Economic Statistics 3 SECS-S/01 6
85159 Fundamental Concepts of Statistics P SECS-S/01 10
85189 Systems and Algorithms for Data Science P ING-INF/05 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)

Period ? The period in which lectures are held 1: 19/09/2022 - 27/10/2022 2: 07/11/2022 - 16/12/2022 3: 13/02/2023 - 24/03/2023 4: 17/04/2023 - 27/05/2023 A: 19/09/2022 - 27/05/2023 P: 19/09/2022 - 16/12/2022 S: 13/02/2023 - 27/05/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
93762 Advanced Probability 1 MAT/06 6
98633 DIFFERENTIAL EQUATIONS 2 SECS-S/06 6
85162 Differential Calculus 2 SECS-S/06 6
85161 Measure Theory 3 SECS-S/06 6

Second Year

1. Mandatory courses

Period ? The period in which lectures are held 1: 19/09/2022 - 27/10/2022 2: 07/11/2022 - 16/12/2022 3: 13/02/2023 - 24/03/2023 4: 17/04/2023 - 27/05/2023 A: 19/09/2022 - 27/05/2023 P: 19/09/2022 - 16/12/2022 S: 13/02/2023 - 27/05/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
85173 Analysis Of Categorical Data 1 SECS-S/01 6
85175 Bayesian Inference 1 SECS-S/01 6
85201 Internship
250 hours 		1 10
85277 Methods And Tools For Official Statistics: Population And Health Statistics 3 SECS-S/05 6

2. Electives (10 ECTS) (max limit 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.
Period ? The period in which lectures are held 1: 19/09/2022 - 27/10/2022 2: 07/11/2022 - 16/12/2022 3: 13/02/2023 - 24/03/2023 4: 17/04/2023 - 27/05/2023 A: 19/09/2022 - 27/05/2023 P: 19/09/2022 - 16/12/2022 S: 13/02/2023 - 27/05/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
85182 BAYESIAN INFERENCE 1 SECS-S/01 6
93762 Advanced Probability 1 MAT/06 6
91421 BIG DATA (PRIVACY) 1 IUS/01 6
73387 Creativity and Innovation M CT2 3
98633 DIFFERENTIAL EQUATIONS 2 SECS-S/06 6
79194 Databases 2 ING-INF/05 6
86716 Entrepreneurship - Bologna CT2 3
92346 Information Literacy in English - Bologna CT2 3
85177 Latent Variable Models 2 SECS-S/01 6
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
B0055 POPULATION AND CLIMATE CHANGE 3 SECS-S/04 6
93050 Supervised Statistical Learning 3 SECS-S/01 6
B0925 DATA SCIENCE APPLICATIONS 4 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
95738 BIODEMOGRAPHY P SECS-S/04 10
90483 Modern Statistics And Big Data Analytics P SECS-S/01 10
85194 Statistical Software P 4

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
Period ? The period in which lectures are held 1: 19/09/2022 - 27/10/2022 2: 07/11/2022 - 16/12/2022 3: 13/02/2023 - 24/03/2023 4: 17/04/2023 - 27/05/2023 A: 19/09/2022 - 27/05/2023 P: 19/09/2022 - 16/12/2022 S: 13/02/2023 - 27/05/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 cfu ? Credits
85245 MASTER THESIS 1 30
86300 Final Examination 1 18
84551 Internship Abroad for Preparation for the Final Examination
300 hours 		1 12
84549 Internship for Preparation for the Final Examination
300 hours 		1 12
84548 Preparation for the Final Examination Abroad 1 12