Curriculum Data science: for students enrolled in the a.y. 2026-27

First 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	Type ? A: Basic learning activities B: Core learning activity C: Related or supplementary learning activity D: Elective learning activity E: Final examination and foreign language test S: Stage F: Other	ssd ? Disciplinary-scientific area to which the learning activity belongs	cfu ? Credits
85175	Bayesian Inference	2	C	STAT-01/A	6
90480	Stochastic Processes	3	B	STAT-01/A	6
93050	Supervised Statistical Learning	3	C	STAT-01/A	6
90481	Advanced Time Series	4	B	STAT-01/A	6
B0925	Data Science Applications	4	B	STAT-03/B	6
85159	Fundamental Concepts of Statistics	P	B	STAT-01/A	10
C8352	SOFTWARE FOR DATA ANALYSIS	P	F		4
85160	Statistical Models and Applications	S	B	STAT-01/A	10

2. Electives (max limit 30 CFU)

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. The list of recommended courses is available in the course catalog published for students enrolled in the 2025/26 academic year.

2. One activity to be chosen between: (6 CFU)

		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	Type ? A: Basic learning activities B: Core learning activity C: Related or supplementary learning activity D: Elective learning activity E: Final examination and foreign language test S: Stage F: Other	ssd ? Disciplinary-scientific area to which the learning activity belongs	cfu ? Credits
93762	Advanced Probability	1	B	MATH-03/B	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	B	STAT-04/A	6
98633	Differential Equations	2	B	STAT-04/A	6
85161	Measure Theory	3	B	STAT-04/A	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	Type ? A: Basic learning activities B: Core learning activity C: Related or supplementary learning activity D: Elective learning activity E: Final examination and foreign language test S: Stage F: Other	ssd ? Disciplinary-scientific area to which the learning activity belongs	cfu ? Credits
85177	Latent Variable Models	2	B	STAT-01/A	6
90477	Machine Learning Systems For Data Science	P	C	IINF-05/A	10
90483	Modern Statistics And Big Data Analytics	P	B	STAT-01/A	10

2. One among: (3 CFU)

		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	Type ? A: Basic learning activities B: Core learning activity C: Related or supplementary learning activity D: Elective learning activity E: Final examination and foreign language test S: Stage F: Other		cfu ? Credits
B8267	INTERPRETARE E COMUNICARE I DATI	1	F		3
B8266	LINGUA ITALIANA PER STUDENTI STRANIERI	1	F		3

3. Electives (10 CFU)

Elective courses can be chosen in the first or second year. If chosen in the second year, they will be available in the 2027/28 academic year.

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

		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	Type ? A: Basic learning activities B: Core learning activity C: Related or supplementary learning activity D: Elective learning activity E: Final examination and foreign language test S: Stage F: Other		cfu ? Credits
86301	Final Examination	1	E		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	E		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	E		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	E		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.	1	E		12