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

Curriculum Health and Population Analytics: 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
65644 Human Genetics 3 BIO/18 6
B0925 DATA SCIENCE APPLICATIONS 4 SECS-S/05 6
85159 Fundamental Concepts of Statistics P SECS-S/01 10
85166 Statistical Software P 4
95740 SOCIOGENOMICS 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
85182 BAYESIAN INFERENCE 1 SECS-S/01 6
87484 Advanced Survival Analysis 1 SECS-S/01 6
85173 Analysis Of Categorical Data 1 SECS-S/01 6
85278 Methods And Tools For Health Statistics 3 SECS-S/05 6
95738 BIODEMOGRAPHY P SECS-S/04 10

2. Electives (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
93762 Advanced Probability 1 MAT/06 6
91421 BIG DATA (PRIVACY) 1 IUS/01 6
82522 Internship
250 hours 		1 10
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
79299 Design of Experiments 3 SECS-S/01 6
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
85170 Computational Human Genomics 4 BIO/08 6
85168 Discrete Mathematics 4 MAT/02 6
85171 Experimental Psychology 4 M-PSI/01 6
90483 Modern Statistics And Big Data Analytics P SECS-S/01 10
85189 Systems and Algorithms for Data Science P ING-INF/05 10

3. Final examination (24 CFU)

For those students who carry out an internship for the preparation for the final examination or the preparation for the final examination in Italy or abroad, the final examination will be divided in 2 parts: final examination and internship/preparation for the final examination in Italy or 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
86301 Final Examination 1 12
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
33024 Master Thesis 1 24
84548 Preparation for the Final Examination Abroad 1 12