The Master of Science in Digital Technology Management (Digital Health) at Chiang Mai University is a pioneering program designed to equip the next generation of healthcare professionals with the knowledge and skills required to excel in the rapidly evolving field of digital health. This program is a cornerstone of the DigiHealth-Asia initiative, aimed at transforming healthcare systems in Asia through the power of Information and Communication Technology (ICT).
Our curriculum is meticulously crafted to address the growing demand for skilled professionals who can harness digital technologies to enhance healthcare delivery, management, and patient outcomes. Through a blend of theoretical knowledge and practical application, students will embark on a transformative journey to become leaders in the digital healthcare revolution.
This subject dives deep into the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare. students will explore the fundamentals and advanced applications of AI and ML, including diagnostic imaging, natural language processing, and predictive analytics.
The course is designed to enable students to not only understand AI and ML concepts but also to apply these technologies in healthcare settings, culminating in the development of a project that showcases their ability to innovate in the digital health domain.
This subject provides a comprehensive understanding of Digital Transformation in healthcare, covering the integration of digital technologies in patient care, big data analytics, and telehealth.
Students will examine emerging technologies such as AI, blockchain, and IoT, learning how to apply these innovations to overcome healthcare challenges. The course emphasizes practical application through case studies and projects, preparing students to lead digital transformation efforts in healthcare settings.
This course offers an in-depth exploration of the Internet of Things (IoT) and its impact on healthcare. Students will learn the basics and advanced applications of IoT, engaging in real-world case studies and hands-on projects.
The curriculum aims to prepare students to apply IoT techniques in healthcare, revolutionizing patient monitoring, diagnostics, and treatment through connected devices and sensors.
Academic Plan:
Professional Plan:
Academic Plan:
Professional Plan:
Semester 1
Round 1: Application period is from November 13, 2023, to January 15, 2024.
Round 2: Application period is from January 16, 2024, to April 22, 2024.
Semester 2
Round 1: Application period is from August 7, 2024, to September 30, 2024.
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