OVERVIEW
STRUCTURE
OVERVIEW
The Master of Science in Digital Health (MSDH) program at Khalifa University is provisionally approved by the Commission for Academic Accreditation (CAA). This pioneering program is designed to equip students with the interdisciplinary expertise necessary to lead in the digital transformation of healthcare in the UAE and beyond. Developed in collaboration between the College of Medicine and Health Sciences and the College of Computing and Mathematical Sciences, the MSDH program uniquely integrates advanced digital technologies, artificial intelligence, and biomedical sciences to address critical healthcare challenges. With a strong focus on personalized medicine, telehealth, digital biomarkers, and data-driven decision-making, students gain practical experience in cutting-edge areas like AI-enhanced medical imaging, wearable technologies, and natural language processing for clinical applications. The program emphasizes ethical AI, innovation, and entrepreneurship, fostering leaders capable of delivering impactful, equitable, and scalable healthcare solutions. Through engagement with world-class faculty and access to advanced research labs, students are prepared to thrive in academic, clinical, governmental, and industry roles. Joining Khalifa University’s MSc in Digital Health means becoming part of a transformative initiative aligned with UAE Vision 2030—empowering graduates to shape the future of digital health both locally and globally.
OBJECTIVES AND LEARNING OUTCOMES
Program Educational Objectives
The program educational objectives of the MSc in Digital Health are to produce graduates who can:
- Apply interdisciplinary knowledge to ethically and innovatively design Digital Health solutions for global and local healthcare challenges.
- Lead and excel in Digital Health across industry, clinical practice, government, and academia, driving positive change.Ìý
- Engage in life-long learning by continuing their education in graduate or professional schools or through career development and professional training.
Program Learning Outcomes
Upon successful completion of the MSc in Digital Health, a graduate will be able to:
- Apply digital health technologies to solve healthcare challenges.
- Design and implement innovative digital health technologies and AI-driven healthcare solutions.
- Collaborate with interdisciplinary teams to deliver Digital Health solutions effectively to both technical and non-technical audiences.
- Evaluate emerging Digital Health technologies to address evolving healthcare needs and drive continuous innovation.
- Analyze and apply ethical principles in Digital Health to enhance patient safety, privacy, equity, and professional integrity in healthcare systems.
STRUCTURE
To obtain a MSc degree in Digital Health, students are required to successfully complete the following:
Students holding a Bachelor degreeÌýÌý
A minimum of 30 credit hours as specified below:
- Core courses: 12 credit hours
- Elective courses: Ìý12 credit hours
- Master’s Thesis: 6 credit hours
MSc in Digital Health (30 Credit Hours)
Code
|
Courses
|
Credit
|
Core Courses
|
Total
|
12
|
HSMA 612
|
Digital Health Technologies and Innovation
|
3
|
COSC621
|
Data Science and Generative AI
|
3
|
ÌýMSDH 652​
|
Ethics in Digital Health
|
3​
|
MSDH 653​
|
Medical Signal and Image Analysis​ÌýMethods
|
3​
|
Elective Courses
|
Total
|
12
|
²Ñ³§¶Ù±áÌý660​
|
Connected Healthcare
|
3​
|
²Ñ³§¶Ù±áÌý664
|
Digital Twin in Healthcare
|
3​
|
²Ñ³§¶Ù±áÌý662​
|
Digital biomarkers for personalized medicine
|
3​
|
COSC 663​
|
Natural Language Processing in Healthcare​
|
3​
|
°ä°¿³§°ä620​
|
Algorithms in Bioinformatics​
|
3​
|
MSDH 694
|
Selected Topics in Digital Health
|
3​
|
BMED 630
|
Deep Learning for Biomedical Imaging
|
3​
|
²Ñ³§¶Ù±áÌý699​
|
Digital Health Master’s Thesis​
|
6
|
Total Credit hours
|
Ìý
|
30
|
Typical study plan for a full time student (1 year)
|
FALL SEMESTERÌý
|
SPRING SEMESTERÌý
|
Year 1
|
MSDH Core Course 1Ìý
|
3Ìý
|
MSDH Elective Course 1
|
3Ìý
|
MSDH Core Course 2
|
3
|
MSDH Elective Course 2
|
3
|
MSDH Core Course 3
|
3Ìý
|
MSDH Elective Course 3
|
3Ìý
|
MSDH Core Course 4
|
3Ìý
|
MSDH Elective Course 4
|
3Ìý
|
Total credit hours for First SemesterÌý
|
12
|
Total credit hours for Second SemesterÌý
|
12
|
SUMMER Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý ÌýMSc Thesis Ìý6
|
Total Credits
|
Ìý
|
30
|
Ìý
|
|
Ìý
Typical study plan for a part time student (2.5 years)
|
FALL SEMESTERÌý
|
SPRING SEMESTERÌý
|
Year 1
|
MSDH Core Course 1Ìý
|
3Ìý
|
MSDH Core Course 3Ìý
|
3Ìý
|
MSDH Core Course 2Ìý
|
3Ìý
|
MSDH Core Course 4
|
3Ìý
|
Total credit hours for First SemesterÌý
|
6
|
Total credit hours for Second SemesterÌý
|
6
|
SUMMERÌý Ìý
|
Year 2
|
MSDH Elective Course 1
|
3Ìý
|
MSDH Elective Course 3
|
3
|
MSDH Elective Course 2
|
3Ìý
|
MSDH Elective Course 4
|
3
|
Total credit hours for Third SemesterÌý
|
6
|
Total credit hours for Fourth SemesterÌý
|
6
|
SUMMERÌý
|
Year 3
|
MSc Thesis
|
6
|
|
|
Total credit hours for Fifth SemesterÌý
|
6
|
Ìý
|
|
Total Credits
|
Ìý
|
30
|
Ìý
|
|