Master of Science in Digital Health
About This Programme
A 30-credit master's (one year full-time) in digital-health technologies, data science and generative AI, ethics, and medical signal and image analysis, for academic, clinical, government and industry roles.
Course Highlights
- Jointly delivered across medicine and computing, integrating AI and digital technologies with biomedical science
- Core in digital-health ethics, medical signal and image analysis, health technologies and innovation, and data science
- Electives in digital biomarkers, digital twins, connected healthcare, NLP in healthcare, and biomedical deep learning
- One year full-time with a 6-credit research thesis
What You'll Study
On-campus, full-time study jointly delivered by the College of Medicine and Health Sciences and the College of Computing and Mathematical Sciences, pairing 24 credits of taught courses with a 6-credit thesis.
Core Courses
- MSDH 652 Ethics in Digital Health3 credits
- MSDH 653 Medical Signal and Image Analysis Methods3 credits
- HSMA 612 Digital Health Technologies and Innovation3 credits
- COSC 621 Data Science3 credits
Electives (select 4)
- MSDH 662 Digital Biomarkers for Personalized Medicine3 credits
- MSDH 664 Digital Twin in Healthcare3 credits
- MSDH 660 Connected Healthcare3 credits
- COSC 620 Algorithms in Bioinformatics3 credits
- COSC 663 Natural Language Processing in Healthcare3 credits
- BMED 630 Deep Learning for Biomedical and Health Informatics3 credits
- MSDH 694 Selected Topics in Digital Health3 credits
Thesis
- MSDH 699 Master's Thesis6 credits
Entry Requirements
Some programmes are nationality-restricted (e.g. Nuclear Engineering; International and Civil Security).
Careers
Graduates work in health-tech and digital-health product development, medical AI, and clinical informatics, or continue to doctoral research.
Accreditation & Professional Recognition
CAA (MoE)
Programme Details
Award
Master of Science in Digital Health
Start Date
August 2026 (Fall; Spring intake for many programmes)
Typical Offer
Bachelor's degree in engineering, computing, health sciences, or a related field with a minimum CGPA of 3.0 on a 4.0 scale, plus English proficiency (IELTS 6.5 / TOEFL iBT 91).
Duration
1 year
Qualification
Masters
Subject Area
Health Sciences
Campus
Abu Dhabi
Course Type
Master of Science
Study Pattern
Full time
Delivery Format
In person
Tuition Fee
AED 150,000/yr
Apply online via ku.ac.ae with transcripts, references and a statement of purpose. Scholarships are assessed automatically at admission. Master's awards may cover tuition in full or in part and carry no stipend; PhD awards are competitive and merit-based, and may carry a full or partial tuition waiver plus a monthly stipend whose amount Khalifa University does not publish.