Master's Degree in Explainable Artificial Intelligence in Healthcare Management

Master's Degree in Explainable Artificial Intelligence in Healthcare Management Dear prospective students: we offer an interdisciplinary online training program in data science, AI, and healthcare. You will learn about the role and applications of artificial intelligence in biomedicine. You will be able to identify the opportunities and challenges of implementing exciting new data-driven technologies in a medical environment. We will teach you how to analyze large, heterogeneous, and complex datasets representative of the healthcare sector, interpret the results, and communicate them to the stakeholders. Our program focuses on state-of-the-art AI techniques, identifying current and possible future AI applications. The curriculum is practical and hands-on, emphasizing AI applications' ethical and social implications.

The master's program is completely online (80% in distance learning and 20% online but live). Required level of participation: 75%. Hence, it is a program suitable for participants who are working while attending the xAIM master's.

Overview

The importance of artificial intelligence (AI) is increasing worldwide. Its potential is also becoming more and more apparent about the challenges in the healthcare sector.

It is therefore extremely important to address the lack of digital skills in this area by training qualified healthcare professionals in the field of AI and computer scientists in the field of healthcare.

With our new master's program, we want to address this issue.

Our aim online master's program aims 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 analyze 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 the ethical and social implications of AI applications.

The master's program consists of three semesters. The first two include three compulsory modules each and a selection of four electives in total. Approximately 80% of the content is delivered through asynchronous teaching methods, such as short videos or quizzes, and 20% is delivered through interactive seminars. The third semester is dedicated to writing the master's thesis. Besides, a 450-hour internship is expected to be finished by March 2024. The language of instruction is English. The individual courses are covered by the faculties of the participating universities.

First Semester

Second Semester