Information Engineering for Digital Medicine | Enrollment

Enrollment Process

To get access to the master’s degree in Information Engineering for Digital Medicine, the Didactic Regulations require that prospective students must meet specific requirements related to:

Curricular disciplines (that is, students must have gained a certain number of credits in specific subject areas).
Knowledge of the English language.
Background/personal knowledge.

For further details, please see the following documents published in the regulation section:

Didactic regulation of the degree's program (particularly, with reference to Art. 3).
Procedures for verifying admission requirements for the master’s degree program.

Eligible students and required documents

The Master’s degree is suited for students:

1. Issued with a Bachelor’s degree in Computer Engineering or other Information Engineering courses. Since the Master’s program requires previous knowledge in Information Engineering, a Bachelor’s degree in Computer Science (i.e., with no Engineering courses) may not fit the required prerequisites. The list of mandatory required documents is:

Bachelor’s degree certificate
Bachelor’s degree Declaration of Value issued by the Italian diplomatic or consular representation of the country in which the document was issued or, alternatively, the certificate issued by the Italian ENIC-NARIC center (CIMEA). To obtain the CIMEA Certificate of Verification and/or Certificate of Comparability, you can use the Diplome platform, which is offered entirely in English: https://cimea-diplome.it/. Information about the costs involved is detailed on the platform: https://www.cimea.it/EN/pagina-attestati-di-comparabilita-e-verifica-dei-titoli. Note: this document can be transmitted after you have been issued a VISA.
Bachelor’s degree Transcript of Records with marks and number of credits (ECTF or Credit hours) for each course, separately.

2. Issued with at least a B2 CEFR level English Language Certificate by one of the institutions accredited by the Italian Ministry of Education listed here: https://piattaformaenticert.pubblica.istruzione.it/pocl-piattaforma-enti-cert-web/elenco-enti-accreditati. Certificates issued by home University (e.g., Medium of Instruction) or by non-accredited institutions (e.g., Duolinguo) will not be accepted. The mandatory required document:

The B2 CEFR English Certificate.

3. [OPTIONAL] Participating in the UNISA Scholarship call. The call typically opens in April/May and is published on this page: https://web.unisa.it/en/international/announcements/incoming-mobility. The call is a separate and independent procedure from the enrollment. Note: this is not organized by our department. For more information, please ask the International Office. The list of required documents is:

Any document required to participate in the call and specified in the call will be published on the above-mentioned web page.

Enrollment steps

Prepare all the documents mentioned above (see points a-e) plus your identity documents (Passport, CV, etc.).
Perform the pre-enrollment application via the Universitaly portal. No pre-check will be performed before this step. A quick guide can be found here: https://www.universitaly.it/first-steps. Once you are registered on the platform, you have access to the university course catalog. After choosing our Master's degree program, you will be able to upload all the requested documents for evaluation. To speed up the evaluation, please verify that all the documents are present.
Wait for the evaluation of your pre-enrollment application. Applicants who passed the documents check will be automatically invited to sit for the admission test.
Pass the admission test. Below you can find more information about the test. We will notify the Italian Representative abroad that you are admitted to the course.
Take an appointment at the embassy. Note: if at this point you still do not have any of the documents described above at point b (Certificate of Value or CIMEA certificate), then you have to request the Certificate of Value for your Bachelor’s degree and upload it to the Universitaly portal or send it to us via mail.
Monitor the course scheduling and communicate with us about your arrival.
Start the registration on our students’ platform. You will receive information via mail.

The Admission Test

Background/personal knowledge is assessed via an admission test. The specific dates for the test are determined on a yearly basis and are available from the website of the Department in Information and Electrical Engineering and Applied Mathematics.

The minimum score to pass the test is 60 points. As specified in the regulations, the score points – maximum score is 100 – are partitioned as follows:

Up to 20 points for the titles related to the prior Academic career.
Up to 80 points for the admission test.

Concerning the admission test, which has the goal to assess the level of preparation of prospective students on the curricular disciplines, it consists of 5 exercises, each related to topics included in the Syllabus at the bottom of this page.

Exemptions from the test are granted only in specific cases: please refer again to the document Procedures for verifying admission requirements for the Master’s Degree Programme.

The upcoming dates for the assessment test are announced:

Friday, July 18, 2025
Friday, September 26, 2025
Friday, December 12, 2025
Friday, February 20, 2026

For information on how to participate in each session, please contact: carrierestudenti.diem@unisa.it no later than 10 days before the scheduled date.

Admission Test Syllabus

Basic disciplines

MATHEMATICS – Functions and differential calculus of one or more real variables. Vectors in the plane and in Euclidean space; vector spaces. Linear systems. Integral calculus. Complex numbers. Matrix algebra. Eigenvalues and eigenvectors. Complex analysis.
PHYSICS – Kinematics. Dynamics of a particle and systems of particles. Work and energy. Rigid body dynamics. Gravity. Electric fields. Electric current and circuits. Magnetic fields. Electromagnetic induction.

Characterizing and Engineering disciplines

AUTOMATIC CONTROL – Analysis of linear time-invariant dynamic systems in the complex and frequency domains. Classical feedback control of linear systems. Analysis of discrete-time linear systems in the complex domain.
CIRCUITS – Methods for analyzing time-invariant linear electric circuits in the time and frequency domains. Analysis of resistive and dynamic circuits under steady-state conditions. Analysis of basic filters. Analysis and synthesis of combinational and sequential logic circuits. Hardware description languages (e.g., VHDL).
TELECOMMUNICATIONS – Probability spaces and random variables. Analysis of continuous-time and discrete-time signals and systems, both deterministic and random, in the time and frequency domains. Methods for numerical signal processing.
PROGRAMMING AND SOFTWARE – Fundamentals of structured programming. Basic data structures: arrays, matrices, records. Key algorithms for sorting and searching. Core data structures: stacks, queues, lists, binary search trees, hash tables. Techniques for analyzing and designing recursive algorithms. Object-oriented programming paradigm. Classes, instances, methods. Abstract data types, encapsulation, visibility rules. Interface and implementation inheritance. Polymorphism, substitution principle, dynamic dispatch. Exception handling. Fundamentals of concurrent programming. Time and space complexity of algorithms.
ARCHITECTURES AND NETWORKS – Analysis and synthesis of combinational and sequential logic circuits. Common sequential and combinational machines. Principles of organization and low-level programming of a computer. Architecture and sizing of computer components: CPU, memory, I/O devices. Architectures and models of computer networks: layered model, packet-switching networks, ISO/OSI. Internet and LAN architecture. TCP/IP protocols.
DATABASES AND OPERATING SYSTEMS – Relational model: tables and constraints. Database architecture and models. Database design: conceptual, logical, and physical levels. Architecture and features of transactional systems. Structure of an operating system. Main characteristics of modern OSs. Process/thread scheduling and synchronization, memory management, file system management. Common OS commands.