Admission Requirements
The Master's degree course in Articial Intelligence for Biomedicine and Healthcare is open access, however, specific curricular requirements and suitable personal preparation are required to enrol.
In addition, the minimum curricular requirement is to be documented, and it is composed of a university degree or an equivalent/superior degree, containing at least 45 CFU in the following scientific areas:
- Mathematics (MAT/*)
- Statistics and statistics models for decision making (SECS-S/*)
- Economics and statistics (SECS-P/05)
- Informatics and engineering (INF/01, ING-INF/*)
- Physics (FIS/01-02)
- Biology (BIO/*)
- Medicine (MED/*)
ADMISSION TEST
Admission to the Program of eligible candidates is subjected to the verification of the candidate's personal preparation through an online test and an interview.
The test aims at verifying background knowledge in:
- Fundaments of informatics and principles of structured programming
- Computer architecture, software, and operating systems
- Computer networks, internet, protocols
- Relational database: entity-relationship model, logical design, SQL
Test exemption: all students who in current or past studies submitted with documentation (these may combine multiple degrees or consider individual exams recorded in addition to a single degree) include at least 25 cfu in Mathematics (MAT/*) or Computer Science and Engineering (INF/01, ING-INF/*) will not have to take the written test
Oral Interview: All candidates are required to attend the oral pre-admission interview. Applicants who hold a university degree taught in English, or who have earned at least 1 CFU in L-LIN/12, will be considered as meeting the requirement of B2-level English proficiency or higher. All other applicants may submit a TOEFL iBT, Academic IELTS, Cambridge English: First (FCE), or an equivalent certification. Candidates who have neither taken English-language exams nor obtained a recognised certification will have their English proficiency assessed during the interview.
For test information (dates, times, deadlines) please refer to the How to apply page.
In order to prepare for the admission test, here follows the suggested bibliography:
- Dennis P. Curtin, Kim Foley, Kunal Sen, Cathleen Morin, Information Technology: The Breaking Wave, McGraw-Hill College, 1998, ISBN 0076014886, 978007601488.
- Walter Savich, Java, An intronduction to problem solving and programming. Chapters 1-6
- David Patterson, John Hennessy, Computer Organization and Design RISC-V Edition, 2nd Edition - December 11, 2020, Paperback ISBN: 9780128203316, eBook ISBN: 9780128245583.
- Kurose - K. Ross, Computer Networking: A Top-Down approach featuring the Internet. 6/e Pearson - Addison Wesley