The goal of the xAIM (Post-Bachelor) Vocational program is to provide digital skills in the area of healthcare management by training highly skilled professionals in the healthcare area, as well as to raise learners' awareness of emerging ethical issues and the impact Artificial Intelligence (AI) is having on society.

Students will learn the fundamentals of Machine Learning and Data Science, then know how to manage and analyze large, heterogeneous, and complex amounts of data that characterize the healthcare industry. In order to enable a clear understanding of the data and proper interpretation of the results, emphasis will be placed on its impact in the healthcare sector.

The entire program focuses on the existing state of the art and possible future applications of AI in health care through the acquisition of practical knowledge as well as the development of the ability to apply the skills acquired. To complete the program, emphasis will be placed on the ethical and social implications of AI applications as well as legal considerations.

By taking part in various seminars and attending a final internship held at partner institutions throughout Europe, students will be able to develop and evaluate reliable AI solutions, as well as understand their potential, limitations, and their implications for the health professions, patients, and society as a whole.

The professional figures formed in the xAIM program can find opportunities in all job positions that require cross-functional skills between AI and health care because those who complete the program will be able to analyze and process the data needed to apply AI solutions, as well as interpret the results provided by AI by assessing their relative risks and challenges.

Healthcare facilities will be able to make use of highly specialized figures capable of working alongside physicians and professionals in the health care field, who can provide support in the implementation of intervention and diagnosis protocols based on data and empirical evidence. The same figures will be able to suggest the most effective approaches to the management of pathology, the burden of comorbidities and the variables that most influence the evolution of clinical pictures. They will also be able not only to speed up prognostic evaluations, but also to make them more accurate and precise by implementing the most suitable algorithms.

Graduates with a background in Computer Science and related subjects will be eased by a solid understanding in data analytics and computer science knowledge, while graduates with a background in health care will be able to communicate to the former the needs and requirements of patients that AI solutions are called upon to address.

The xAIM program is delivered in synergy with other European partners, namely Goethe University Frankfurt (Germany), Leibniz University Hannover (Germany), Keele University (UK), and finally the University of Ljubljana (Slovenia). The title will be awarded by the University of Pavia.