In order to study, choose your subject, there you will find the various learning environments (videolessons, slides, books and articles, multimedia, bibliography, webographies, labs, interactive exercises, forums, interactive classes) and lecturers/tutors who will interactively follow your learning process.
Choose the teaching material that interests you and access the Page dedicated to the Professor and to the page dedicated to the Tutor
Specific objectives of the course
The rapid advances in neuroscience and digital technologies are redefining the way we understand and interact with the human mind. The Master’s Degree Programme in Mind Sciences and Technologies is designed to train experts capable of exploring the relationship between brain, mind, and new technologies, providing interdisciplinary skills ranging from cognitive neuroscience to psychotechnologies, from generative artificial intelligence to immersive technologies.
The interaction between neuroscience and emerging technologies lies at the core of the educational path. On the one hand, neuroscience offers tools to understand the functioning of the human brain and its cognitive, emotional, and perceptual processes; on the other hand, immersive technologies and artificial intelligence open new application opportunities in fields such as education, psychotherapy, cognitive rehabilitation, mental well-being, and human–machine communication. This degree programme offers training that integrates mind sciences and technological innovation, allowing students to develop advanced skills in using new technologies to improve both individual and collective well-being.
The programme is designed to provide advanced and interdisciplinary training, drawing from fields such as cognitive psychology, neuroscience, artificial intelligence, and research methodologies. Its goal is to prepare graduates to develop and apply innovative technologies to enhance human interaction with intelligent systems. Through interdisciplinary study and the integration of neuroscience and applied cognitive sciences, graduates will gain the skills to transfer their knowledge to various application areas, including the analysis and management of cognitive, emotional, and creative processes; the analysis of human–machine interactions; the design of programmes based on advanced technological tools; the management of organized systems; and the study of complex environments.
Admission Requirements
To be admitted to the Master’s Degree Programme in Mind Sciences and Technologies, specific curricular requirements are established to ensure that applicants have a solid foundational knowledge appropriate for advanced academic study.
Curricular Requirements for Admission:
Graduates may apply to the programme if they hold a degree in one of the following fields (or an equivalent qualification obtained abroad and recognized as valid):
- L-8 Information Engineering
- L-20 Communication Sciences
- L-24 Psychological Sciences and Techniques
- L-30 Physical Sciences and Technologies
- L-31 Computer Science and Technologies
- L-41 Statistics
Applicants with degrees in other fields may also be admitted, provided they can demonstrate that they have earned at least 40 ECTS credits, distributed as follows across specific disciplinary sectors (SSD – Settori Scientifico Disciplinari):
- I) At least 20 ECTS credits in the following Psychology-related SSDs: M-PSI/01, M-PSI/02, M-PSI/03, M-PSI/04, M-PSI/05, M-PSI/06, M-PSI/07, M-PSI/08
- II) At least 10 ECTS credits in the following SSDs:BIO/09; BIO/14; MED/01; MED/03; MED/09; MED/25; MED/26; MED/48
- III) At least 10 ECTS credits in one or more of the following groupings: (INF/01; ING-INF/05; MAT/09) and (SECS-S/01; SECS-S/02; SECS-S/03; SECS-S/04; SECS-S/05; SECS-S/06)
The Faculty Council may consider applications from students who do not meet the indicated degree classes or credit requirements but who can demonstrate relevant professional experience, thesis work, or specific aptitude for the subjects covered in the programme. Students transferring from another Master’s Degree Programme in class LM-55 or from another Master's programme in a different class will be admitted upon evaluation of their previous academic records by the Teaching Committee. If accepted, previous exams may be validated.
Additionally, students must demonstrate proficiency in English, verified according to the Teaching Regulations of the degree programme. For international students, proficiency in Italian at B2 level or higher is required. The methods for verifying English or Italian language proficiency will be defined in the Teaching Regulations. Admission eligibility will be assessed through an evaluation process based on the applicant’s academic background and any additional assessments outlined in the programme's Teaching Regulations.
Career Opportunities
Graduates of Mind Sciences and Technologies will have acquired a solid and multidisciplinary specialist education, based on a programme that combines theoretical knowledge with the analysis of the new landscape of cognitive neuroscience. This foundation will allow them to engage in continuous learning even after entering the workforce.
With this in mind, the programme aims to prepare graduates for roles of responsibility and coordination in the following fields:
- EXPERT IN INTERACTION WITH INTELLIGENT SYSTEMSA designer of technologies for the creation and development of ergonomic and functional products and interfaces, from both the user and the social and environmental sustainability perspective. This expert will be able to respond to the growing need to create interfaces between people and new technologies (understood as products and services) conceived from the user's point of view.
- EXPERT IN PSYCHOTECHNOLOGY DESIGNAn expert in technologies for teaching and learning who contributes to the development and validation of new digital tools for use in school education, higher education, academic instruction, and corporate training.
- EXPERT IN TECHNIQUES AND TECHNOLOGIES FOR REHABILITATIONThis professional is skilled in acquiring and analyzing signals, defining technologies for functional evaluation, and supporting rehabilitative exercises. This role requires connecting neurophysiology and neuroscience with engineering skills to meet the demands of clinical practice.
- RESEARCHER IN COGNITIVE SCIENCESA researcher in cognitive sciences with multidisciplinary training, capable of analyzing large-scale multifactorial data and managing research activities that integrate artificial intelligence, brain imaging techniques, and cognitive neuroscience. This profile is suited to implementing both basic and applied research projects requiring expertise in cognitive science.