Professional Master programme in High-performance and quantum computing - 6162

Code 6162
Academic Year 2025-2026
Subject area Sciences and technology
Campus Bologna
Level Second
Director Marco Baldi
Duration Annual
Teaching methods Conventional
Language English
Cost 4.700,00 €
Instalments First instalment: Euro 2500 ) (to be paid before enrolment). Second instalment: Euro 2200 (to be paid by 31/03/2026).
Application deadline

Oct 24, 2025

Enrolment start and end From November, 21st, 2025 through December, 19th, 2025
Main Department
Department of Physics and Astronomy "Augusto Righi" - DIFA
Professional Profile
Pursuant to Decree no. 270 of 22 October 2004 of the Ministry of Education, University and Research, for academic year 2025/2026, Alma Mater Studiorum – Università di Bologna, Administrative office of Bologna, will run a 2nd-level Professional Master’s Programme in “High-Performance and Quantum Computing”.
The Master is promoted by the Physics and Astronomy Department — DIFA, and in collaboration with the other Departments CHIM, CHIMIND, DEI, DISI, MAT, FABIT , and with the partners institutions INAF, INFN, CINECA and INGV.
The Master aims at developing a professional profile that — building upon the knowledge acquired at the undergraduate level in university courses of the STEM area —may have the necessary skills to be competitive in the job market related to frontier research and applications in the fields of advanced technologies, management of big data and complex systems, through the use of state-of-the -art computational methods and technologies, both at the national and international level. Specific examples of such job profiles may include companies offering high-performance computing services, agencies for the modelling and the forecasts in the context of geophysical, environmental and climate studies, industries developing new materials, companies and start-ups in the rapidly growing field of computational and quantum computing technologies. More specifically, the Master will prepare: Experts in modelling and numerical methods for complex systems; Experts in high-performance and large-scale computing; Experts on quantum methods and algorithms on different platforms.
The professional profiles developed by this Master will be able to take an active role in the rapidly growing field of IT and data sharing technologies that led to a revolution in the use of computational resources and that involves all sectors of society, ranging from academic research to applied research promoted by public and private companies. Methods and algorithms for High-Performance computing have become of fundamental importance in all strategic sectors as e.g. the study of climate evolution and of new energy resources, the discovery of new molecules for pharmaceutical applications or of new materials for industrial applications, the optimisation of production processes, of logistics or of financial strategies.
The master has the following goals:
1) provide knowledge on the modelling of complex systems and on the computational techniques available for their analysis, also including quantum computing methods;
2) develop specific competence on programming strategies for high-performance computing and for the use of large-scale computational infrastructures;
3) train the participants on a wide range of practical applications in the context of scientific research and industrial applications;
offer a wide range of internships at private companies as well as research institutes and laboratories in the public and private sectors.
Note
- It is foreseen 1 extra position for students qualifying for the admission, with total exemption of the subscription fee, except for the administrative contribution. For more detailed information, see the art. 1 of the call

-There will be 2 excess places, with reduced fees (20% less than the registration fee) for Alumni (i.e. former students of the Alma Mater Studiorum) registered with the Almae Matris Alumni Association

auditors: participation is open to auditors, up to 20% of enrolled students, in accordance with Art. 8 of the Call for Applications.
Interested persons must indicate their willingness directly to the Professional Master's Programme secretariat by the registration deadline. Acceptance of the request will be notified by January 10th 2026.
Number of participants
Min: 8 Max: 25
Credits
60
International Professional Master's programme
Yes
Admission qualifications
Biology LM-6, Physics LM-17, Computer Science LM-18, Aerospace Engineering LM-20, Biomedical Engineering LM-21, Chemical Engineering LM-22, Automation Engineerings LM-25, Security Engineering LM-26, Telecommunications Engineering LM-27, Electrical Engineering LM-28, Electronic Engineering LM-29, Energy and Nuclear Engineering LM-30, Computer Engineering LM-32, Mechanical Engineering LM-33, Mathematics LM-40, Mathematical-physical Modeling for Engineering LM-44, Materials Science and Engineering LM-53, Chemical Sciences LM-54, Astrophysics and Cosmology LM-58, Computer Security LM-66, Industrial Chemistry LM-71, Geophysical Sciences LM-79, Techniques and Methods for the Society of Information LM-91

Other Master Degrees, especially for candidates with international careers or already employed in public or private enterprises, may be considered based on the CV and specific profiles of the candidate.
Linguistic skills
English knowledge certified at the level B2 QCER.
In the absence of such certification, the English knowledge will be checked during the motivational interview.
Other requirements
Familiarity with at least some programming language that will be verified through the analysis of the CV and the motivational interview.
Selection criteria
Track record and motivational interview. Verification of the admission requirements and of the English proficiency (B level)

The maximum score assigned by the selection committee will be of 100 points of which 40 for the track record and 60 for the motivational interview. The minimum score to be admitted (up to the maximum number of participants) is set to 40 points.

In case of equal scores between two or more candidates, priority will be given to the candidate with the highest score in the motivational interview. In case of persisting equality, priority will be given to the younger candidate.
Selection date
Nov 05, 2025
Place of teaching
Bologna
Study plan
  • Big Data Paradigms and Technologies (ING-INF/05, 16 ore) // Paolo Ciancarini, Daniele Cesini
  • Numerical Techniques for System Modelling (GEO/12, FIS/06, 16 ore) // Enrico Baglione, Paolo Oddo
  • Computational Fluid Dynamics (FIS/05, FIS/06, 24 ore) // Federico Marinacci, Francesco Calura, Carlo Cintolesi
  • Methods and algorithms for many-body global problems (FIS/05, 16 ore) // Marco Baldi, Alessandro Casalino
  • Introduction to discriminative AI methods (FIS/01, ING-INF/05, 24 ore) // Daniele Bonacorsi, Tommaso Diotalevi, Luca Clissa, Andrea Galassi
  • Introduction to generative AI methods (MAT/07, FIS/07, INF/01, 16 ore) // Mirko Degli Esposti, Nico Curti, Andrea Asperti
  • Introduction to Quantum Computing (FIS/02, INF/01, 24 ore) // Elisa Ercolessi, Ugo Dal Lago, Marco Chiani, Lorenzo Valentini
  • Introduction to High-Performance Computing (INF/01, 24 ore) // Gianluigi Zavattaro, Alessandro Casalino, Alessandro Romeo
  • Variational Quantum algorithms and Quantum Machine Learning (CHIM/02, MAT/07, 24 ore) // Ivan Rivalta, Giacomo De Palma, Filippo Orazi, Francesco Calcagno
  • Fundamentals of Computing (INF/01, ING-INF/05, 16 ore) // Gianluigi Zavattaro, Andrea Bartolini
  • Accelerated Computing (INF/01, 16 ore) // Moreno Marzolla, Claudio Gheller
  • Materials Modelling and Design (FIS/03, 16 ore) // Maria Clelia Righi, Paolo Restuccia
  • Quantum SDKs (MAT/07, 16 ore) // Davide Pastorello, Daniele Ottaviani, Simone Gasperini
  • Climate Change Modelling (FIS/06, 16 ore) //  Paolo Ruggieri
  • Practical Applications for Fluid Dynamics (FIS/06, FIS/05, 16 ore) // Carlo Cintolesi, Federico Marinacci, Francesco Calura

 

Other activities

Thematic seminars given by other UniBo professors and by national and international experts as a follow-up of the topics presented in the courses.

Scientific direction: prof. Marco Baldi.

SSD: FIS/05, CFU: 2

Compulsory attendance
80%
Internship
575 hours of internship corresponding to 23 CFU to be spent at the premises of public and private partners of the Master, including companies active in the IT business.