The MAIA Master is a two-year programme of study divided into four semesters designed and developed to ensure a clear and structured educational progress in the field of medical image analysis, fully integrated among the three universities of the consortium:

Year 1

uB (first semester)

Image Processing I (ECTS 6)

Digital Signal Processing (ECTS 6)

Software Engineering (ECTS 5)

Applied Mathematics (ECTS 6)

Sensors and Digitization (ECTS 5)

French Culture (ECTS 2)

UNICAS (second semester)

Machine and Deep Learning (ECTS 6)

Introduction to Robotics (ECTS 5)

Statistical Learning and Data Mining (ECTS 6)

Distributed Programming and Networking (ECTS 6)

Advanced Image Analysis (ECTS 5)

Italian Culture (ECTS 2)

Year 2

UdG (third semester)

Medical Image Registration and Applications (ECTS 6)

Medical Image Segmentation and Applications (ECTS 6)

Computer Aided Surgery and Medical Robotics (ECTS 6)

Computer Aided Diagnosis (ECTS 5)

eHealth (ECTS 5)

Local Culture (ECTS 2)

Research / Training (fourth semester)

MSC Thesis in a company or any of the partners institutions UdG, uB or UNICLAM (ECTS 30)

The overall objective is to start from science fundamentals, low-level image and signal processing and acquisition. The second semester is devoted to more advanced image processing algorithms along with machine learning and pattern recognition. Special emphasis will be given to fundamentals of medical robotics and  algorithm optimization methods. The third semester will take advantage of the previous modules and will focus on developing frameworks of computer aided detection and diagnosis systems with special emphasis to its clinical applicability and evaluation. In addition, advanced medical robotics will be covered taking into account computer aided surgery and assisted intervention. In addition a  project on medical imaging wil proposed which will put those topics into practice. The final semester will be fully devoted to the development of the master thesis in a topic proposed by the consortium, collaborating companies/research labs or by the motivation of the student within the context of medical image analysis.


An induction week is organized each year in September during which the enrolled students are informed about the programme, the assessment and the rules. The induction week also permits new students to meet second-year students or former MaIA students.