Second Cycle Degree/Two Year Master in Statistical Sciences

Curriculum Data science: 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
90480 Stochastic Processes 3 SECS-S/01 6
93050 Supervised Statistical Learning 3 SECS-S/01 6
90481 Advanced Time Series 4 SECS-S/01 6
B0925 Data Science Applications 4 SECS-S/05 6
85159 Fundamental Concepts of Statistics P SECS-S/01 10
90477 Machine Learning Systems For Data Science P ING-INF/05 10
85166 Statistical Software P 4
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
85162 Differential Calculus 2 SECS-S/06 6
98633 Differential Equations 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
85175 Bayesian Inference 1 SECS-S/01 6
85177 Latent Variable Models 2 SECS-S/01 6
90483 Modern Statistics And Big Data Analytics P SECS-S/01 10

2. Electives (10 ETCS) (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
87484 Advanced Survival Analysis 1 SECS-S/01 6
85173 Analysis Of Categorical Data 1 SECS-S/01 6
91421 Big Data (Privacy) 1 IUS/01 6
82522 Internship
250 hours 		1 10
73387 Creativity and Innovation M CT2 3
79194 Databases 2 ING-INF/05 6
98633 Differential Equations 2 SECS-S/06 6
86716 Entrepreneurship - Bologna CT2 3
92346 Information Literacy in English - 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
B0055 Population and Climate Change 3 SECS-S/04 6
85170 Computational Human Genomics 4 BIO/08 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

3. Final examination (24 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
86301 Final Examination 1 12
84551 Internship Abroad for Preparation for 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
33024 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 24
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