Professional Master programme in Artificial Intelligence and Innovation Management - 5991

Code 5991
Academic Year 2024-2025
Subject area Sciences and technology
Campus Bologna
Level First
Director Maurizio Gabbrielli
Duration Annual
Teaching methods Conventional
Language English
Cost 14,800.00 Euro
Instalments First instalment 1,850.00 Euro - Second instalment 7,000.00 Euro (deadline 31 December 2024) - Third instalment 5,950.00 Euro (deadline 30 April 2025)
Study grants yes
Application deadline

Sep 09, 2024

PRE-ENROLMENT Window 1 - 14/03/2024; PRE-ENROLMENT Window 2 - 06/05/2024; PRE-ENROLMENT Window 3 - 08/07/2024; PRE-ENROLMENT Window 4 - 09/09/2024;
Enrolment start and end Window 1: from 03/04/2024 to 23/04/2024; Window 2: from 28/05/2024 to 18/06/2024; Window 3: from 25/07/2024 to 05/09/2024; Window 4: from 26/09/2024 to 08/10/2024
Main Department
Department of Computer Science and Engineering - DISI
Professional Profile
The programme aims to train young professionals from different backgrounds who aspire to become managers of technological innovation, developing both management and specific technical skills.
Number of participants
Min: 12 Max: 50
Study grants
Reduced fees (article 6 of the call)
Credits
60
International Professional Master's programme
Yes
Admission qualifications
- 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
Proficiency of the English language
Selection criteria
Admission to the Master is subject to a positive total score of the selection process, which is based on a written aptitude test, a written English language test 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 do not award any points but are instead judged on a
pass/fail basis as a necessary qualification to attend the motivational interview.

The evaluation process will take place:

- for those enrolled to window 1: 18/03/2024 (written aptitude test and written language test) and 22/03/2024
(motivational interview)
- for those enrolled to window 2: 09/05/2024 (written aptitude test and written language test) and 17/05/2024
(motivational interview)
- for those enrolled to window 3: 11/07/2024 (written aptitude test and written language test) and 16/07/2024
(motivational interview)
- for those enrolled to window 4: 12/09/2024 (written aptitude test and written language test) and 17/09/2024
(motivational interview)

At Bologna Business School at a time that will be communicated and in any case between 8 a.m. and 8 p.m. Italian time.
Candidates attending the test must bring a valid identification document with them.
Place of teaching
Bologna Business School - Via degli Scalini 18 - 40136 Bologna
Study plan
  1. Performance Measurement System - SECS-P/07
  2. Business Ethics and Sustainability - ING-IND/35
  3. Big Data For Industry 4.0 (elective) - ING-INF 05
  4. Digital Transformation - SECS-P/08
  5. Operation Analytics - ING-IND/35
  6. Customer & Marketing Analytics
  7. Fundamentals of cyber security - INF/01
  8. Fundamentals of Artificial intelligence - INF/01
  9. Digital economics - SECS-P/01
  10. Entrepreneurial Finance (elective) - SECS-P/09
  11. Blockchain Finance (elective) - INF/01
  12. Data Mining (elective) - ING-INF/05
  13. Field work Laboratory - ING-INF/05
  14. Machine Learning - ING-INF/05
  15. Neural Networks and deep learning - INF/01
  16. Natural Language Processing and Applications - ING-INF/05
  17. Computer Vision - ING-INF/05
  18. Things that Compute and Interact - ING-INF/05
  19. Law and Tech – IUS/01
  20. Decision Support System - INF/01
Compulsory attendance
70%
Internship
20 CFU