xAIM: eXplainable Artificial Intelligence in healthcare Management

xAIM (eXplainable Artificial Intelligence in healthcare Management) is an online Master program aiming to create an interdisciplinary environment where students are trained to work at the intersection of Data Science, AI and Healthcare. Students will learn the fundamentals of Machine Learning and Data Science so that they can handle and analyse large, heterogeneous and complex datasets representative of the healthcare sector.

Concepts from the health sector are taught to further their understanding and to enable them to interpret the data and results. The entire program will put a strong focus on the current state of the art and possible future AI applications in healthcare, as an important goal of the master’s program is to provide practical knowledge and the ability to apply the acquired skills. To complete the curriculum, there will be a strong emphasis on ethical and social implications of AI applications.

xAIM was funded by the European Union under theConnecting Europe Facility (CEF), and has been developed by 4 Universities: the University of Pavia, the Goethe University (Germany), Keele University (UK), Leibniz University Hannover (Germany) and the University of Ljubljana (Slovenia).

Admission requirements

The admission criteria are one of the two following:

• Bachelor’s degree in Biology, Biomedicine, Life Sciences, Health Care or a closely related subject, alternatively graduation in medicine
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, Management or a closely related subject
• A specialist degree / single-cycle Master's degree in one of the field of: natural sciences, engineering, administration and management, and health and medicine. 

Additionally, each applicant has to provide evidence of:

• Knowledge of the English language at a level no lower than level B2 of the CEF (Common European Framework)

There are a maximum of 35 students accepted per year. 

Application deadline

The application deadline for the February 2025 programme is in November 2024.

Graduation Report

The Master's programme has produced a Report with the results of the first cohort of students graduating from the programme until October 2024, which can be accessed here.