The Master joins the second extraordinary pre-enrolment term from the 4th to the 25th November 2024, 12.30 pm.

 

The Master in Radiomics: Advanced Quantitative Image Analysis Techniques provides theoretical-practical training on advanced image analysis to doctors, scholars and scientists of several disciplines, to make them independent in the development of multidisciplinary research projects. 

Considering the increasing integration of imaging in the different fields of medicine, the Master, by exploring statistics and data processing techniques, segmentation and complex variable extraction methods, provides the competences needed to apply radiomics analysis to different fields, including the cardio-thoravascular, abdominal and musculoskeletal systems.

Purpose of the Master is training professionals capable of acquiring and integrating the skills needed to perform quantitative image analysis and create predictive models including radiomics, clinical-laboratory and histological variables.

The Master in Radiomics: Advanced Quantitative Image Analysis Techniques is an interdisciplinary course, whose purpose is to provide theoretical-practical quantitative image analysis training, in order to make students independent in developing research projects in this field. Students will learn how to apply complex quantitative analyses, by optimizing the different data collection, processing and integration phases.

It features on-demand lessons,  as it was designed for students and professionals who wish to conciliate other activities and professions with the need to qualify or specialize themselves further.

The Master in Radiomics: Advanced Quantitative Image Analysis Techniques is addressed to doctors in different fields, such as radiologists, nuclear physicians, interns, anatomo-pathologists, cardiologists, pneumologists, surgeons, rheumatologists, and even researchers and scholars, working in the public or private sector.

Career opportunities include public and private research centres, hospitals, and technological and pharmaceutical industries. At the end of the training course, professionals have the option of developing multidisciplinary projects, within their research and clinical field, including radiomics analysis, and to process also predictive models.  The skills acquired are an excellent resource, allowing participants to implement advanced and cutting-edge research projects in their practice.

The Master in Radiomics: Advanced Quantitative Image Analysis Techniques provides specific training on the following modules:

Module 1 – FUNDAMENTAL RADIOMICS PRINCIPLES

Students will gather basic and advanced skills to complete a radiomics project (this module includes statistical analysis skills and creation of mathematical models suited to the scope of the research).

Module 2 – IMAGES, SOFTWARE AND SEGMENTATION

Students will learn how to choose the type of radiological investigation for the scope of the study, by understanding its potential and limits. Moreover, they will learn how to use the variable segmentation and extraction software.

Module 3 – HOW TO APPLY RADIOMICS IN A CLINICAL SETTING

Students will learn how to create and integrate radiomics model in a clinical environment, and will acquire suitable skills to create projects in different fields of medicine (oncology, rare illnesses, etc.)

The Master lasts one year, with video lessons held between November/December and May 2024-2025. Lessons will be provided online, on the Moodle platform, and on-demand, as the videos may be seen in asynchronous mode, and are accessible to students 24/7.

There will be frequent and easy interaction between students and teachers, through Moodle’s Forum, a place designed to exchange reflections or ask questions on the modules covered during the Master. At the end of each module, students will be required to complete the relevant homework, in asynchronous mode, to ascertain their knowledge.

No workshops and/or internships are included in this Master; there will be however a Project Work at the end of the course, presented by the students online, on the Zoom platform.

Information

Health, environment and territory
31/10/2025
70%
5
200
€ 2.022,50
€ 1.000,00
Find the admission titles in the selection notice 24/25.

FAQ

Attendance is mandatory, and in order to obtain the title, 70% of the online lessons must be completed.

  1. Students with disabilities between 66% and 100%, or certification pursuant to Law no. 104, will be exempted from paying the enrolment fee, and will be only required to pay the pre-enrolment fee, the insurance fee, and stamp duties.
  2. PA and top grades: PA employees enrolling in our Master, will enjoy a €330 reduction on the second registration instalment.
  3. University staff with an open-ended employment contract may enrol in the course. The enrolment fee for University Technical-Administrative Staff is equal to the minimum enrolment fee, as established by Article 24, p. 1 of the University Regulation for Master Courses, Post-Graduate and Higher Education Courses of the University of Padua, and is equal to 20% of the fee. If the staff with open-ended labour contract possesses the requirements to enrol in the Course, once the Master is over, they will obtain the related Title or Diploma, or, if they do not possess the selection requirements, they may attend as Auditors and obtain an Attendance Certificate.
  4. The enrolment fee for Auditors is 50% of the regular fee.

The final Project Work will consist in a paper exploring one of the topics covered during the Master in detail. During the Project Work (generally from the end of the Master until the beginning of September), students will be flanked by a tutor for the entire process. At the end of the course, students will present their Project Work before an on-line committee on the Zoom platform.

Concerning the image segmentation and radiomics variable extraction, the lessons will focus on the use of an open-source (for both Mac and Windows users) software.

The Master admission selection is based on qualifications only. The selection method is described on the Master announcement.