| Code | 5835 |
|---|---|
| Academic Year | 2026-2027 |
| Subject area | Sciences and technology |
| Campus | Bologna |
| Level | First |
| Director | Claudio Sartori |
| Duration | Annual |
| Teaching methods | Conventional |
| Language | English |
| Cost | 14.800,00 Euro |
| Instalments | • First Instalment € 1.850 to be paid strictly by 31/03/2026 for Round 1, 26/05/2026 for Round 2, 28/07/2026 for Round 3, and 6/10/2026 for Round 4. • Second Instalment € 7.000 to be paid by 30/11/2026 • Third Instalment € 5.950 to be paid by 28/02/2027 |
| Application deadline |
Sep 07, 2026 Round 1: 02/03/2026 at 11:59 PM Round 2: 27/04/2026 at 11:59 PM Round 3: 29/06/2026 at 11:59 PM Round 4: 07/09/2026 at 11:59 PM |
| Enrolment start and end | Round 1: from 17/03/2026 to 31/03/2026 at 11:59 PM Round 2: from 12/05/2026 to 26/05/2026 at 11:59 PM Round 3: from 14/07/2026 to 28/07/2026 at 11:59 PM Round 4: from 22/09/2026 to 06/10/2026 at 11:59 PM |
| Programme start and end dates |
from Oct 22, 2026 to Jan 31, 2028 |
- Main Department
-
Department of Computer Science and Engineering - DISI
- Professional Profile
- Pursuant to Decree no. 270 of 22 October 2004 of the Italian Ministry of Education, University and Research, for the academic year 2026–2027, Alma Mater Studiorum – Università di Bologna, with Bologna as the administrative seat, will run a first-level professional Master’s programme in “Data Science and Business Analytics.”
The Master’s programme is established at the proposal of the Department of Computer Science and Engineering (DISI) and in cooperation with the Bologna University Business School Foundation.
The programme aims to train young professionals (Data Scientists) capable of managing large-scale data analytics (Big Data) in an international business context and contributing to value creation.
The Master’s programme develops three complementary skill sets:
a strong computing and data science foundation, a solid understanding of technological aspects, and in-depth knowledge of business dynamics. - Note
- - Students with a civil disability certificate: A number of 2 places are envisaged, even if they exceed the maximum number of available positions, for candidates who are deemed eligible through the selection process. These places include an exemption from tuition fees, net of fixed charges and the application fee.
For detailed information on the application and matriculation procedure, please refer to the single call for applications, art. 9
- Alumni: There are 2 reserved places, even in addition to the maximum number.
For details on how to apply, please refer to the single call for applications, art. 9;
- Auditors There are auditors in a proportion of no more than 20 % of those enrolled, in accordance with art. 10 of the call for applications.
Interested persons must indicate their willingness directly to the professional master programme Administration Office by the enrolment deadline. Acceptance of the request will be communicated by 19/10/2026.
If not, all auditor places are filled by the above deadline, the Director reserves the right to also assess applications received later, until the available places are filled and, in any case, no later than the beginning of the lessons.
The auditor fee is 8,800.00 Euro - Number of participants
- Min: 12 Max: 40
- Study grants
- Reduced fees are provided for, as specified in the call
- Credits
- 60
- International Professional Master's programme
- Yes
- Admission qualifications
- The programme is reserved for candidates who, by the time of enrolment (31/03/2026 for window 1, 26/05/2026 for window 2, 28/07/2026 for window 3, 6/10/2026 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. - Linguistic skills
- ) English language proficiency certificate (TOEFL, IELTS, or Cambridge English) demonstrating a minimum level of B2 according to the Common European Framework of Reference. Applicants who do not hold such certification will be required to sit a written test to verify English proficiency
- Other requirements
- The documents required for the selection process are specified in the operational instructions (front-and-back copy of a valid ID; degree certificate), in addition to the specific documents listed below:
a) Curriculum Vitae in English;
b) Motivation Letter in English;
c) Reference Letter in English (optional);
d) Passport-style identification photo;
e) English language proficiency certificate (TOEFL, IELTS, or Cambridge English) demonstrating a minimum level of B2 according to the Common European Framework of Reference. Applicants who do not hold such certification will be required to sit a written test to verify English proficiency;
f) If available, GMAT or GRE score report, with a minimum score of 550 (GMAT) or equivalent (GRE). Candidates who do not possess such certification will be required to take the written aptitude test.
Applicants holding a degree obtained abroad, if admitted, will be required to present the original documentation to the Master’s Office, in accordance with what is stated in the Conditional Enrollment Form. - Selection criteria
- Admission to the Master’s programme is subject to the successful completion of the selection process, which consists of a written aptitude test, a written English language test, and a motivational interview. The Evaluation Committee may award a maximum of 100 points, and the minimum score required to be deemed eligible is 60/100.
The written aptitude test and the written English test do not contribute to the final score; however, they are considered prerequisites for accessing the motivational interview.
All selection tests will be conducted online via videoconference, at a time that will be communicated to candidates and in any case scheduled between 8:00 AM and 8:00 PM (Italian time).
Candidates must attend the test with a valid identification document.
Candidates who meet the eligibility requirements and who rank within the available slots—based on their overall score—will be admitted to the Master’s programme.
In the event of a tie, preference will be given to the younger candidate.
The selection process will take place as follows:
• For applicants in Round 1: 05/03/2026 (written aptitude test and written English test) and 10–11/03/2026 (motivational interview);
• For applicants in Round 2: 30/04/2026 (written aptitude test and written English test) and 05–06/05/2026 (motivational interview);
• For applicants in Round 3: 02/07/2026 (written aptitude test and written English test) and 07–08/07/2026 (motivational interview);
• For applicants in Round 4: 10/09/2026 (written aptitude test and written English test) and 15–16/09/2026 (motivational interview).
Date of ranking list Publication:
Round 1: 17/03/2026
Round 2: 12/05/2026
Round 3: 14/07/2026
Round 4: 22/09/2026
The rankings can be consulted on Studenti Online by entering your username and password
- Place of teaching
- Bologna Business School
Villa Guastavillani - Via degli Scalini 18, 40136 Bologna
Campus, New Building – Via degli Scalini 23, 40136 Bologna - Study plan
• Big Data For Industry 4.0 - Subject group: ING-INF/05 - ECTS credits: 3
• Business Intelligence & Data Warehouse - Subject group: ING-INF/05 - ECTS credits: 3
• Performance Measurement System - Subject group: SECS-P/07 - ECTS credits: 3
• Customer & Marketing Analytics - Subject group: SECS-P/08 - ECTS credits: 3
• Statistics And Data Analytics - Subject group: SECS-S/01 - ECTS credits: 3
• Data Mining - Subject group: ING-INF/05 - ECTS credits: 2
• Big Data Lab - Subject group: ING-INF/05 - ECTS credits: 4
• Fundamentals Of Artificial Intelligence - Subject group: ING-INF/05 - ECTS credits: 2
• Machine Learning - Subject group: ING-INF/05 - ECTS credits: 4
• Text Mining And Natural Language Processing - Subject group: ING-INF/05 - ECTS credits: 3
• Digital Economics - Subject group: SECS-P/01 - ECTS credits: 2
• Neural Networks And Deep Learning - Subject group: INF/01 - ECTS credits: 2
• Fundamentals Of Cyber Security (Elective) - Subject group: INF/01 - ECTS credits: 2
• AI Governance: Compliance, Ethics, And Sustainability - Subject group: IUS/01 - ECTS credits: 2
• Business Applications Of AI (Elective) - Subject group: INF/01 - ECTS credits: 2
• No Code (Elective) - Subject group: ING-INF/04 - ECTS credits: 2
• Generative AI Lab (Elective) - Subject group: INF/01 - ECTS credits: 2- Compulsory attendance
- 70%
- Internship
- Internship: 500 hours – 20 ECTS
- Final Examination
- Final Assessment: Upon verification of the regular completion of all payments, fulfillment of the minimum attendance requirement, successful completion of all examinations, and submission of all documentation required for the activation of the academic career, candidates must undergo an oral defense, either in person or online, of their internship report/project work. The purpose of the defense is to assess whether the learning outcomes defined by the Master’s programme have been achieved. For information, please contact the professional master programme Programme Office (professionalmasters@bbs.unibo.it)