Informatics for digital health
Course Description
Level: Second Level Degree
Degree Class: LM-18 - Computer science
Department: COMPUTER SCIENCE
Admission: Free
CFUs: 120
Duration: 2 years
Website: https://didattica.di.unipi.it/en/master-programme-in-informatics-for-digital-health/
English
Pisa
The Master’s Degree Course does not have regulated admission and all courses will be delivered in English.
For admission students require a Bachelor’s degree in the classes L-31 Computer Science or L-8 Information Engineering, or L-35 Mathematics, or L-30 Physics, or an old-system degree recognised as equivalent to it.
Students holding a Bachelor’s Degree from another class who have obtained at least 72 CFUs in the scientific-disciplinary fields INF/01 or ING/INF-05 or ING/INF-06 or MAT* or FIS*, of which at least 36 CFUs in INF/01 or INF/ING-05 and at least 18 CFUs in the MAT* or FIS* fields, can be admitted. For students with a qualification obtained abroad that is equivalent to a Bachelor’s Degree, the Board of the degree course will assess the adequacy of the credits obtained during their studies in relation to these requirements. Proficient knowledge of English at least at level B2 is required. The academic regulations of the degree course outline the methods to evaluate the adequacy of students’ personal preparation.
The adequacy of personal preparation, particularly in the fundamentals of information science and technology and the English language, is assessed through the evaluation of the educational curriculum, and through a test on specific topics that take into account guidelines approved by the Department Council on the proposal of the Board of the degree course.
The evaluation and any test will be carried out by the President of the degree course or a committee delegated for this purpose. In the case of students holding a Bachelor’s Degree in Computer Science (class 26 or class L-31), or Computer Engineering (class 9 or L-8), this preparation is automatically considered adequate, subject to verification of English language proficiency.
Course Evaluations
Contacts
Presidente del Corso di Laurea
Email:
Referente didattico
Rosaria Mongini
Tel. (+39) 050 2212727
Email: rosaria.mongini@unipi.it
Unità Didattica del Dipartimento di Informatica: https://didattica.di.unipi.it/contatti/
Orario di ricevimento: Ufficio: su appuntamento previo contatto e-mail / telefono (+39) 050 2212727/3110/3162. Sportello: dal martedì al giovedì dalle ore 10.00 alle ore 13.30. Per informazioni scrivere a : mdh_info@di.unipi.it
Study Plan
For students enrolled in the academic year 2025/2026
Required
- Data analytics for digital health (9 CFU) - Primo ciclo semestrale
- Algorithms and data structures for data-intensive applications (9 CFU) - Primo ciclo semestrale
- Human-computer interaction. tools and strategies (6 CFU) - Secondo ciclo semestrale
- Security, privacy and availability of health data (9 CFU) - Secondo ciclo semestrale
- Artificial intelligence for digital health (9 CFU) - Secondo ciclo semestrale
- Computing and networking: resources and tools (9 CFU) - Primo ciclo semestrale
Complementari (6 CFU)
- Optimization for health care systems (6 CFU) - Secondo ciclo semestrale
- Natural language processing for digital health applications (6 CFU) - Secondo ciclo semestrale
- Virtual worlds (6 CFU) - Primo ciclo semestrale
- Assistive technologies (6 CFU) - Secondo ciclo semestrale
- Numerical computing in biomedicine (6 CFU)
- Formal and hybrid methods for medical imaging (6 CFU) - Primo ciclo semestrale
- Biology of cellular systems (6 CFU) - Primo ciclo semestrale
- Metagenomics (6 CFU) - Secondo ciclo semestrale
- Computational neuroscience (6 CFU) - Secondo ciclo semestrale
- Biometric systems (6 CFU) - Primo ciclo semestrale
Required
- Economic, legal, management, social aspects of digital health (12 CFU)
- Bioinformatics and systems biology (9 CFU)
- Digital health lab (9 CFU)
- Final thesis (21 CFU)
Career opportunities
- Digital health specialist
- Data analysts for healthcare
- Information system designers
- Application developers
- Consultants for digital innovation projects in healthcare facilities
- IT roles in pharmaceutical and biotechnology companies