eXplainable Artificial Intelligence in Healthcare Management A new Online Interdisciplinary Master’s Program at the Intersection of AI and Health Care
What will you learn?
- Role and applications of AI techniques in the healthcare sector
- Opportunities and challenges of the data-driven approach in a medical environment
- Analyze and interpret complex datasets from the healthcare sector, and communicate them to the stakeholders
- Understanding and facing ethical and social implications of AI and new technologies
- New programming skills for your future (deep learning, text mining, computer vision and more)
xAIM in short:
- The master’s program consists of 3 semesters.
- During the first 2 semesters, students will attend 3 compulsory courses in each and a selection of electives.
- 80% of the teaching content is delivered through asynchronous teaching methods, such as video lectures, 20% is delivered through interactive sessions.
- Required level of participation: 75%. Hence, it is a programme suitable for participants who are working while attending the xAIM master.
- The 3rd semester is dedicated to writing the master’s thesis.
- The language of instruction is English.
- The individual courses are covered by the faculties of the participating universities.
- Tuition fees 4.900€
- Max number of students per year: 35
The Project
The eXplainable Artificial Intelligence in Healthcare Management Masters is developed within an xAIM project supported by a Connecting Europe Facility in Telecom (project INEA/CEF/ICT/A2020/2276680). Our aim is to advance development of highly qualified professionals to address the lack of highly specialized digital skills in AI. The master is designed for anyone interested in understanding the needs of xAI in healthcare, and, in particular for health-related professionals, with a particular focus on the exploitation of the possible applications.
Web site: https://xaim.eu