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Universities Australia University of Sydney Courses Master of Digital Health and Data Science

Master of Digital Health and Data Science
at University of Sydney

Sydney, Australia

Tuition Fee AU$ 50,500
Country Rank#3
Duration12 Months
Score IELTS: 6.5

Program Overview

The Master of Digital Health and Data Science provides specialised skills and knowledge in digital health and applied data science. Whether you’re looking to expand your digital science expertise to health data, or expand your skills in data science to specialise in digital health, this program will teach you new skills and provide practical experience to complement and build on your expertise.

With healthcare on the cusp of a major transformation through big data, machine learning, and computation, demand for applied data science qualifications and courses is increasing globally. The health sector needs people with the skills to develop, implement, evaluate, and manage data-driven technologies. In the private sector, companies are working directly on healthcare solutions, devices, and analytics platforms.

Recognising that the digital health workforce runs on the strength of multi-disciplinary teams, in this course you’ll learn from and work with engineers, IT specialists, data scientists, and health professionals on projects that come directly from industry and the healthcare sector.

Co-designed and co-taught by the School of Computer Science in the Faculty of Engineering, and Biomedical Informatics and Digital Health in the Faculty of Medicine and Health, all units have been specifically developed to provide you with advanced data science skills in the context of healthcare.

Students who are not immediately eligible for the MDHDS course can also start with the Graduate Certificate of Digital Health and Data Science (GCDHDS) and extend their study to the MDHDS. Students who wish to selectively study relevant topics can also choose from the GCDHDS in more focused study.

Course Content
Units of Study
- AI, Data, and Society in Health
- Applied Healthcare Data Science
- Biomedical Image Analysis
- Clinical Ethics
- Computational Statistical Methods
- Design Thinking
- Digital Health and Data Science Project A
- Digital Health and Data Science Project B
- Enterprise Healthcare Information Systems
- Foundations Health Technology Assessment
- Foundations of Healthcare Data Science
- Health Technology Evaluation
- Implementation Science in Digital Health
- Information Technology in Biomedicine
- Introduction to Clinical Epidemiology
- Introduction to Programming
- Introduction to Statistics
- Leadership in Health
- Machine Learning and Data Mining
- Natural Language Processing
- Object-Oriented Programming
- Regulatory Affairs in the Medical Industry
- Usability Engineering
- Visual Analytics
- e-Health for Health Professionals
Entry Requirement
To be eligible for admission, an applicant is required to have:
- an honours bachelor’s degree, from the University of Sydney in a cognate discipline* with at least a credit average (65 percent), or qualifications deemed by the faculty to be equivalent; or
- a bachelor’s degree, from the University of Sydney in a cognate discipline* with at least a credit average (65 percent), or qualifications deemed by the faculty to be equivalent and a minimum of two years of relevant work experience; or
- completed the Graduate Certificate in Digital Health and Data Science with a minimum of 65% credit average.
*A cognate discipline includes Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, Economics, Finance, Health Sciences, Medical Sciences, or a related Health Profession or other disciplines that are deemed cognate by the Program Directors.

For qualifications awarded outside Australia, equivalencies and entry requirements are determined based on the country, institution and qualification.

As part of the embedded program, units completed under the Graduate Certificate in Digital Health and Data Science can be credited to the master’s degree.
Fees & Scholarships
Tuition Fee for International Students (Year 1): $50,500 (indicative only)

For international students, the tuition fee is for Year 1 of full-time study of 48 credit points (1.0 EFTSL). However, for courses that require completion of less than 48 credit points (Sydney Professional Certificates, Graduate Certificates and some Graduate Diplomas which are less than 48 credit points), the fees indicated are based on the total credit points required for completion of that course as listed in the 'Course details' section.

The tuition fee that you will pay depends on the calendar year in which you undertake your study in the course, and your study load.
This indicative tuition fee is subject to annual increase each year of your study, effective at the start of each calendar year.
Career Prospect
The Master of Digital Health and Data Science will equip you to deliver data-driven solutions to meet complex health challenges in leadership roles in various medical and health professions. Roles also include data scientist and solutions architect, and digital health consultant positions in hospitals, healthcare departments, tech companies, and consulting firms. Use your data science expertise, combined with your experience with the health industry, to harness data to advance the modern health industry through technology.

Cost Of Studying At University of Sydney

Interest rates as low as 8.9% ^*

250K+

Students Assisted

800Cr+

Loan Amount Disbursed

5000+

Loans Sanctioned

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Master of Digital Health and Data Science at University of Sydney