Lesson Hours: 4 ECTS (CFU) = 24; 6 ECTS (CFU) = 30; 10 ECTS (CFU) = 60.
First Year
1. Mandatory courses
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|
Period ? The period in which lectures are held
1: 14/09/2026 - 24/10/2026
2: 09/11/2026 - 16/12/2026
3: 08/02/2027 - 17/03/2027
4: 12/04/2027 - 22/05/2027
P: 14/09/2026 - 16/12/2026
S: 08/02/2027 - 22/05/2027
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ssd ? Disciplinary-scientific area to which the learning activity belongs
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cfu ? Credits
|
| 85175 |
Bayesian Inference
|
2 |
SECS-S/01 |
6 |
| 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 |
| 85166 |
Statistical Software - Not available for the year 2026/2027
|
P |
|
4 |
| 85160 |
Statistical Models and Applications
|
S |
SECS-S/01 |
10 |
2. One activity to be chosen between: (6 CFU)
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|
Period ? The period in which lectures are held
1: 14/09/2026 - 24/10/2026
2: 09/11/2026 - 16/12/2026
3: 08/02/2027 - 17/03/2027
4: 12/04/2027 - 22/05/2027
P: 14/09/2026 - 16/12/2026
S: 08/02/2027 - 22/05/2027
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ssd ? Disciplinary-scientific area to which the learning activity belongs
|
cfu ? Credits
|
| 93762 |
Advanced Probability
|
1 |
MAT/06 |
6 |
| 85162 |
Differential Calculus
Activity not selectable by students with a Bachelor's degree in Statistics from the University of Bologna - curriculum Stats & Maths
|
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: 14/09/2026 - 24/10/2026
2: 09/11/2026 - 16/12/2026
3: 08/02/2027 - 17/03/2027
4: 12/04/2027 - 22/05/2027
P: 14/09/2026 - 16/12/2026
S: 08/02/2027 - 22/05/2027
|
ssd ? Disciplinary-scientific area to which the learning activity belongs
|
cfu ? Credits
|
| 85177 |
Latent Variable Models
|
2 |
SECS-S/01 |
6 |
| 90477 |
Machine Learning Systems For Data Science
|
P |
ING-INF/05 |
10 |
| 90483 |
Modern Statistics And Big Data Analytics
|
P |
SECS-S/01 |
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 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.
You must select courses for a total of at least 10 credits. You can also add 20 credits as electives, in addition to the required ones.
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|
Period ? The period in which lectures are held
1: 14/09/2026 - 24/10/2026
2: 09/11/2026 - 16/12/2026
3: 08/02/2027 - 17/03/2027
4: 12/04/2027 - 22/05/2027
P: 14/09/2026 - 16/12/2026
S: 08/02/2027 - 22/05/2027
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ssd ? Disciplinary-scientific area to which the learning activity belongs
|
cfu ? Credits
|
| 85178 |
Advanced Survival Analysis
|
1 |
SECS-S/01 |
6 |
| 79194 |
Databases
|
1 |
ING-INF/05 |
6 |
| 82522 |
Internship
|
1 |
|
10 |
| 85195 |
Multivariate Statistics
|
3 |
SECS-S/01 |
6 |
| 85170 |
Computational Human Genomics
|
4 |
BIO/08 |
6 |
| 79062 |
Econometrics
|
4 |
SECS-P/05 |
6 |
| B8392 |
Environmental Statistics
|
4 |
SECS-S/01 |
6 |
| 85171 |
Experimental Psychology
|
4 |
M-PSI/01 |
6 |
| B6613 |
Optimal Design of Experiments
|
4 |
SECS-S/01 |
6 |
| B7194 |
Tableau Lab
|
4 |
|
3 |
A) SUGGESTED ELECTIVE COURSES (max limit 30 CFU)
It may be chosen in the first or second year
B) LANGUAGE COURSES (MAX LIMIT 18 CFU) (max limit 18 CFU)
| 26357 |
French Language Test B - 2
|
1 |
|
6 |
| 26345 |
German Language Test B - 2
|
1 |
|
6 |
| 26351 |
Spanish Language Test B - 2
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1 |
|
6 |
2. One among: (3 CFU)
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Period ? The period in which lectures are held
1: 14/09/2026 - 24/10/2026
2: 09/11/2026 - 16/12/2026
3: 08/02/2027 - 17/03/2027
4: 12/04/2027 - 22/05/2027
P: 14/09/2026 - 16/12/2026
S: 08/02/2027 - 22/05/2027
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cfu ? Credits
|
| B8267 |
INTERPRETARE E COMUNICARE I DATI
|
1 |
|
3 |
| B8266 |
LINGUA ITALIANA PER STUDENTI STRANIERI
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1 |
|
3 |
3. Final examination (21 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, for the preparation of the final thesis abroad, the final exam will be divided into two parts: the final exam itself and the internship for preparation of the final thesis abroad
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|
Period ? The period in which lectures are held
1: 14/09/2026 - 24/10/2026
2: 09/11/2026 - 16/12/2026
3: 08/02/2027 - 17/03/2027
4: 12/04/2027 - 22/05/2027
P: 14/09/2026 - 16/12/2026
S: 08/02/2027 - 22/05/2027
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cfu ? Credits
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| 86301 |
Final Examination
|
1 |
|
9 |
| 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.
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1 |
|
21 |
| 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.
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1 |
|
12 |
