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

Curriculum Data science: for students enrolled in the a.y. 2023-24

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: 09/09/2024 - 26/10/2024 2: 11/11/2024 - 17/12/2024 3: 10/02/2025 - 21/03/2025 4: 07/04/2025 - 24/05/2025 P: 16/09/2024 - 17/12/2024 S: 10/02/2025 - 24/05/2025 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 - Not available for the year  2024/2025 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: 09/09/2024 - 26/10/2024 2: 11/11/2024 - 17/12/2024 3: 10/02/2025 - 21/03/2025 4: 07/04/2025 - 24/05/2025 P: 16/09/2024 - 17/12/2024 S: 10/02/2025 - 24/05/2025 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: 09/09/2024 - 26/10/2024 2: 11/11/2024 - 17/12/2024 3: 10/02/2025 - 21/03/2025 4: 07/04/2025 - 24/05/2025 P: 16/09/2024 - 17/12/2024 S: 10/02/2025 - 24/05/2025 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
85182 BAYESIAN INFERENCE 2 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 which are coherent with the Degree Programme Teaching regulations and the learning outcomes of the degree programme). These subjects can be chosen at the 1 and the 2 year up to a maximum of 30 cfu.
A) SUGGESTED ELECTIVE COURSES (MAX LIMIT 30 CFU) (max limit 30 CFU)
Period ? The period in which lectures are held 1: 09/09/2024 - 26/10/2024 2: 11/11/2024 - 17/12/2024 3: 10/02/2025 - 21/03/2025 4: 07/04/2025 - 24/05/2025 P: 16/09/2024 - 17/12/2024 S: 10/02/2025 - 24/05/2025 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
79194 Databases 1 ING-INF/05 6
82522 Internship 1 10
98633 DIFFERENTIAL EQUATIONS 2 SECS-S/06 6
85162 Differential Calculus 2 SECS-S/06 6
85161 Measure Theory 3 SECS-S/06 6
85195 Multivariate Statistics 3 SECS-S/01 6
B6613 OPTIMAL DESIGN OF EXPERIMENTS 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
B2128 STATISTICAL MODELS FOR (FUZZY) SET-VALUED DATA 4 SECS-S/06 3
B7194 Tableau Lab 4 3
95738 BIODEMOGRAPHY P SECS-S/04 10
87479 Social Demography S SECS-S/04 10
B) LANGUAGE COURSES (MAX LIMIT 18 CFU) (max limit 18 CFU)
Period ? The period in which lectures are held 1: 09/09/2024 - 26/10/2024 2: 11/11/2024 - 17/12/2024 3: 10/02/2025 - 21/03/2025 4: 07/04/2025 - 24/05/2025 P: 16/09/2024 - 17/12/2024 S: 10/02/2025 - 24/05/2025 cfu ? Credits
26357 French Language Test B - 2 1 6
26345 German Language Test B - 2 1 6
26351 Spanish Language Test B - 2 1 6
D) OTHER ELECTIVE COURSES OF THE UNIVERSITY OF BOLOGNA: (MAX LIMIT 30 CFU) (max limit 30 CFU)

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: 09/09/2024 - 26/10/2024 2: 11/11/2024 - 17/12/2024 3: 10/02/2025 - 21/03/2025 4: 07/04/2025 - 24/05/2025 P: 16/09/2024 - 17/12/2024 S: 10/02/2025 - 24/05/2025 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