University of Pavia
Master's Degree in Explainable Artificial Intelligence in Healthcare Management

Pavia, Italy

DURATION

18 Months

LANGUAGES

English

PACE

Part time

APPLICATION DEADLINE

Request application deadline

EARLIEST START DATE

Request earliest startdate

TUITION FEES

EUR 4,900

STUDY FORMAT

Distance Learning

Key Summary

About: The Master's Degree in Explainable Artificial Intelligence in Healthcare Management focuses on the intersection of AI technology and healthcare systems. It aims to equip students with the knowledge to develop and utilize AI methods that promote transparency and understanding within healthcare practices. The program includes coursework on AI algorithms, data analytics, and their application in managing healthcare challenges.

Career Outcomes: Graduates can pursue careers such as Data Scientist, Healthcare Analyst, AI Ethics Consultant, or roles in healthcare management and technology firms, where their skills in explainable AI will be invaluable for improving patient care and decision-making processes.

Introduction

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.

Admissions

Curriculum

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

Mandatory Courses

Elective Courses

Data-Driven Healthcare (AI)
Participants acquire the basic skills to understand and manage biomedical data, including electronic acquisition, storage, and exploration using statistical methods.
Introduction to Data Science (AI)
In theory and through practical exercises, participants acquire knowledge in data science, techniques of data mining and data clustering, and more.
Trustworthy AI (Ethical and Legal Considerations)
Participants learn how to quantitatively assess the trustworthiness of AI in practice.

Coding in Python (AI)
Text Mining (AI)
Introduction to Healthcare Management (Healthcare and Management)
Advanced AI Assessment (Healthcare and Management)

Second Semester

Mandatory Courses

Elective Courses

Transforming Healthcare (Healthcare and Management)
Participants gain knowledge of healthcare challenges at different levels of analysis as well as of transformation strategies to address these challenges using the potential of AI.
AI and Healthcare Workforce (Healthcare and Management)
Participants learn about the challenges of the healthcare workforce and the relationship between clinicians and patients when adopting AI devices.
Z-Inspection®: A Process to assess trustworthy AI in Practice (Ethical and Legal Considerations)
Participants learn how to assess the trustworthiness of AI systems for healthcare using socio-technical scenarios.

Computer Vision and Deep Learning (AI)
Advanced Topics in AI (AI)
AutoML (AI)
Information Ethics and Legal Aspects (Ethical and Legal Considerations)

Program Tuition Fee

English Language Requirements

Certify your English proficiency with PTE. The faster, fairer, simpler English test, accepted by thousands of universities around the world. PTE, Do it worry-free!

Try a free PTE Taster Test today