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Professional Master programme in Data Science and Business Analytics - 5835

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Code	5835
Academic Year	2025-2026
Subject area	Sociology, Economics, Law
Campus	Bologna
Level	First
Director	Claudio Sartori
Duration	Annual
Teaching methods	Conventional
Language	English
Cost	14.800,00 Euro
Instalments	First instalment 1.850,00 Euro (to be paid by the deadline set for enrolment 23/04/2025 for window 1, 19/06/2025 for window 2, 9/09/2025 for window 3, 14/10/2025 for window 4); second instalment 7.000,00 Euro (to be paid by 30/11/2025); third instalment 5.950,00 Euro (to be paid by 28/02/2026)
Study grants	yes
Application deadline	Sep 15, 2025 Round 1 – by 17 March 2025 Round 2 – by 12 May 2025 Round 3 – by 7 July 2025 Round 4 – by 15 September 2025
Enrolment start and end	Round 1: from 3/04/2025 to 23/04/2025 Round 2: from 29/05/2025 to 19/06/2025 Round 3: from 24/07/2025 to 9/09/2025 Round 4: from 2/10/2025 to 14/10/2025
Programme start and end dates	from Oct 27, 2025 to Jan 27, 2027

Main Department: Department of Computer Science and Engineering - DISI
Professional Profile: Under the terms of Decree no. 270 of 22 October 2012 issued by the Italian Ministry of Education, University and Research, the Alma Mater Studiorum - University of Bologna, Bologna Campus, will run a I level Professional Master Programme in “Data Science and Business Analytics” for the academic year 2025-2026.
The programme has been set up on the proposal of the Department of Computer Science and Engineering (DISI) and is run in collaboration with Fondazione Bologna Business School (BBS).
The Master's in Data Science and Business Analytics is designed to provide highly specialized training for those with a deep curiosity about data processing, aiming to refine it in the search for insights that can influence business decision-making processes. Through the application of the most innovative analytical methodologies and the use of a wide range of tools, the course lays the foundation for transforming raw data into actionable insights that can help solve problems requiring tactical or strategic decisions within companies. The program combines a mix of skills, aimed at highlighting its three core components: business economics, computer science, and finally, speculative analytical or statistical-mathematical skills. The Master's program is distinguished by its approach of not being limited to the use of software from a specific vendor but allows students to experiment with various programming and analytical tools, particularly open-source ones.
Number of participants: Min: 12 Max: 40
Study grants: Reduced fees are foreseen as per the form attached to the announcement
Credits: 60
International Professional Master's programme: Yes

Admission qualifications: The programme is reserved for candidates who, by the time of enrolment 23/04/2025 for window 1,19/06/2025 for window 2, 9/09/2025 for window 3, 14/10/2025 for window 4, are in possession of the following qualifications and access requirements:
• All first cycle degree and/or second / single cycle degree obtained under D.M. 270/04 or first cycle degree and/or second / single cycle degree obtained under the laws previously in force (DM 509/99 and Old Regulations).
• First cycle degree and/or second / single cycle degree obtained abroad deemed equivalent to those described in the point above by the admission committee, for the purposes of admission to the Master.
Other requirements: The required documents for the selection process are listed in the procedural instructions (double-sided copy of a valid identity document; academic qualification and transcript) and must be submitted with the specific documents listed below:

a) Curriculum Vitae in English;
b) Motivational Letter in English;
c) Reference Letters in English (optional);
d) A photo of the candidate for identity recognition purposes;
e) English Language Proficiency certificate (TOEFL, IELTS or Cambridge English) certifying a minimum English level of B2 in the European framework. Candidates who do not possess this certificate will have to take a written test to assess their language skills (see article 5);
f) If available, GMAT or GRE certificate, with a score of 550 or above (GMAT) or equivalent (GRE).
Candidates without this certificate will have to take a written aptitude test (see article 5).

Candidates with a degree obtained abroad and who pass the selection procedures must show the original hard copies
of documents to the Master’s Office.
Selection criteria: Admission to the Master is subject to a positive total score of the selection process, which is held online and is based on a written aptitude test, a written English language test (for track in English language) and a motivational interview.
The maximum score given by the Admission Board is 100 points. A minimum score of 60/100 must be achieved to pass the selection.
The written aptitude test and the written language test (for track in English language) do not award any points but are instead judged on a pass/fail basis as a necessary qualification to attend the motivational interview.

The Admission Board is appointed by the Programme Director.
The person in charge of the selection procedure is the Programme Director of Studies.
The evaluation process will take place:
- for those enrolled to window 1: 20/03/2025 (written aptitude test and written language test) 26/03/2025 (motivational interview)
- for those enrolled to window 2: 15/05/2025 (written aptitude test and written language test) and 21/05/2025 (motivational interview)
- for those enrolled to window 3: 10/07/2025(written aptitude test and written language test) and 16/07/2025 (motivational interview)
- for those enrolled to window 4: 18/09/2025 (written aptitude test and written language test) and 24/09/2025(motivational interview)

Candidates attending the test must bring show a valid identification document with them.
Candidates with disabilities (ex Italian Law no. 104) or with civil disability, candidates with DSA and other candidates who need to make use of adaptations, as well as of additional time, to support their own deficit, can request it according to the methods specified in the form attached to this call for application “Request for adaptation of the Admission test (https://site.unibo.it/[…]/per-studenti).

Admission to the professional master programme is granted to eligible candidates, within the limits of available seats, based on the ranking drawn up on in accordance with the total score awarded. In the event of two candidates with the same score, the younger candidate will rank higher.

Round 1: 20/03/2025 and 26/03/2025
Round 2: 15/05/2025 and 21/05/2025
Round 3: 10/07/2025 and 16/07/2025
Round 4: 18/09/2025 and 24/09/2025

Ranking list publication date:
Round 1: 3/04/2025
Round 2: 29/05/2025
Round 3: 24/07/2025
Round 4: 2/10/2025
The indicated dates may vary by 1-2 days in case of institutional needs and obligations.
The ranking lists may be viewed on Studenti Online using your username and password

Place of teaching

Place of teaching: Bologna Business School Villa Guastavillani - Via degli Scalini 18, 40136 Bologna New Campus – Via degli Scalini 23, 40136 Bologna
Teaching mode: In person. Classes will be held from Monday to Fridays, in the time slot 9:00am to 06:00pm.

Study plan

• Big Data for Industry 4.0 – ING-INF/05 – Federico Baffetti
• Business Intelligence and Data Warehouse - ING-INF/05 – Stefano Rizzi; Enrico Gallinucci
• Performance Measurement System – SECS-P/07 – Lorenzo Dal Maso; Eleonora Monaco;
• Customer and Marketing Analytics – SECS-P/08 – Umut Konus
• Statistics and Data Analysis – SECS-S/01 – Matteo Farné; Furio Camillo;
• Data Mining – ING-INF/05 – Claudio Sartori; Enrico Gallinucci; Matteo Francia
• Business Ethics and Sustainability – SPS/08 – Sara Zanni;
• Big Data Lab – ING-INF/05 – Giorgio Pedrazzi;
• Fundamentals of Artificial Intelligence – ING-INF/05 – Maurizio Gabbrielli; Federico Pennino;
• Machine Learning – ING-INF/05 – Claudio Sartori;
• Text Mining and Natural Language Processing – ING-INF/05 – Gianluca Moro; Giacomo Frisoni;
• Law and Tech – IUS/01 – Paola Manes;
• Digital Transformation – SECS-P/08 – Azzurra Meoli;
• Digital Economics – SECS-P/01 – Andrea Mantovani;
• Operation Analytics (elective) – ING-IND/35 – Anna Fedorova;
• Neural networks and deep learning (elective) – INF/01 – Andrea Asperti;
• Fundamentals of Cyber Security (elective) – INF/01 – Gabriele D’Angelo
• Blockchain Finance (elective) – INF/01 – Stefano Ferretti;
• Entrepreneurial Finance (elective) – SECS-P/09 – Alexander Groh

Compulsory attendance

70%

Internship

Option to choose internship (500 hours, 20 CFU) or project work (20 CFU), both followed by a final examination.
The awarding of the professional master programme and the related university educational credit is subordinate to:
•the payment of all the fee instalments within the established deadlines (included the fees for late payments);
•the achievement of a minimum mandatory attendance of 70% of classroom activities;
•the completion of the internship/stage (curricular internship) hours or completion of the project work based on the requirement of the Master’s study plan;
•passing the final examination with a grade of at least 18 out of 30 (all exams and assessments taken during the course of the master, at the end of each module or lessons, will not be individually recorded and will therefore not grant any separate credits. Any such exams and assessments, however, will be taken
into account by the Examination Committee when deciding the final grade of each student).
•having submitted all documentation related to the start of your academic career, including your student visa and residence permit (for non-EU students), as well as documentation related to the recognition of your degree (please contact the UNIBO Master's Office to verify the necessary documentation for your case).

At the end of the teaching activities, students will express their own opinions through an online questionnaire

Final Examination

It is expected

For scientific and teaching information

Address

Bologna Business School - Via degli Scalini 18 - 40136, Bologna

Office hours

Monday-Friday from 9:00 a.m. to 1:00 pm. And from 2:00 p.m. to 6:00 p.m.

E-mail

datascience@bbs.unibo.it
michele.coco@bbs.unibo.it

Telephone

Federica Giannattasio - +39 051 2090132
Arianna Castrucci - +39 0512090146
Michele Coco - +39 051 2090169

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Attachments

Procedural instructions forming an integral part of this call for applications [.pdf 154 KB]