Australian digital health course directory
Quickly find the Australian digital health university courses you need to fulfill your career potential from this curated list.
This compilation of courses supports best practice competence and confidence in delivering health and care using digital technologies and data.
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Results
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7314MED Digital Health
Institution:
Griffith UniversitySummary:
Students in this course will gain knowledge and skills in digital health and informatics.
Learning Outcomes:
Understand and critique current and future trends in digital health and informaticsCareer Opportunities:
Health and social care leadership, policy, governance, and quality and safety.
Domains of expertise:
Find out morePrimary Theme:
B: Leadership and AdvocacySecondary Theme:
C: Data and Information Quality -
AI Foundations for Innovation
Institution:
La Trobe UniversitySummary:
An online, self-paced microcredential course that provides core AI literacy and competency to professionals looking to implement available AI tools into their daily work lives. The course covers:
- Core AI concepts, definitions and terminology
- An overview of available professional tools and a practical guide on how to select the best tool for the job
- Training in prompt engineering, and evaluating outcomes
- Industry case studies from the biotech and healthcare sectors
- Guidance on developing an AI strategy for your workplace
- An overview of AI ethics, governance and security considerations
Learning Outcomes:
This microcredential will equip participants with foundational AI literacy and the skills needed to start effectively applying AI tools in a professional work setting. The course gives participants critical insights to evaluate the impact of AI tools and navigate ethical considerations in a rapidly evolving digital landscape. Through a combination of theory, real-world case studies and practical assessment activities, participants will learn to: - Apply AI tools such as chatbots and text/image generators - Develop an AI strategy that critically evaluates AI tools for automating tasks and optimizing workflows - Identify ethical challenges, including bias, privacy, and compliance - Analyse emerging AI trends and their societal impactsCareer Opportunities:
AI is already changing the nature of work, and for most, the regular use of AI in the workplace is not a question of ‘if’ but ‘when’. A recent global survey showed that 87% of employers believe that AI skills will be critical for future employees. Completion of this course provides users with a digital badge from La Trobe University, as evidence of a formal professional development qualification.
Domains of expertise:
Find out morePrimary Theme:
A: Digital ProfessionalismSecondary Theme:
E: Technology -
Analysis of Linked Health Data
Institution:
The University of SydneySummary:
This course will equip learners with the power of linked health data to drive better health outcomes. This hands-on short course is designed for professionals and students seeking to deepen their understanding of how health data linkage works—and how to apply it in real-world research and service improvement.
Learning Outcomes:
Understand the theory of data linkage methods and features of comprehensive data linkage systems, sufficient to know the sources and limitations of linked health data setsCareer Opportunities:
Health data analyst, health data scientist, Australian health data
Domains of expertise:
Find out morePrimary Theme:
C: Data and Information Quality -
Applied learning health systems
Institution:
University of MelbourneSummary:
Learn how to build and apply a Learning Healthcare System through interactive modules, hands-on workshops, and real-world data. Collaborate with diverse professionals from Australia and Malaysia, and apply insights directly to your workplace. Gain experience with virtual care apps, guided by expert instructors, and explore evolving models in digital health and your future role in the sector.
Learning Outcomes:
Apply Learning Health System concepts to your workplace. Propose a digitally-enabled project, covering data access, virtual care design, evaluation, and implementation, while appraising digital health trends and approaches.Career Opportunities:
Develop and implement digital health innovations to improve healthcare systems, decisions, and quality.
Domains of expertise:
Find out morePrimary Theme:
D: Information Enabled Care and ServicesSecondary Theme:
C: Data and Information Quality -
Artificial Intelligence in Healthcare
Institution:
The University of SydneySummary:
This program equips professionals with interdisciplinary skills in digital health and data science. Co-designed by the Faculty of Engineering and the Faculty of Medicine and Health, it offers practical experience through industry projects, preparing graduates to lead data-driven healthcare innovations and address complex health challenges.
Learning Outcomes:
Develop expertise in digital health and data science; apply analytical techniques to healthcare data; collaborate in multidisciplinary teams; and implement data-driven solutions to enhance healthcare delivery and patient outcomes.Career Opportunities:
Digital health analyst, clinical data scientist, health informatics consultant, healthcare IT project manager, eHealth strategist.
Domains of expertise:
Find out morePrimary Theme:
E: Technology -
Bachelor of health information management
Institution:
La Trobe UniversitySummary:
Combine clinical and business aspects of healthcare with La Trobe’s Bachelor of Health Information Management. Develop skills in health classification, data analytics, informatics, and systems management. Build strong foundations, then gain real-world experience through 55 days of supervised placement with leading health partners, preparing you to improve patient care through data-driven decision-making.
Learning Outcomes:
Apply theoretical knowledge in health information management. Solve problems, communicate data effectively, work independently or in teams, and resolve ethical dilemmas within multidisciplinary healthcare contexts.Career Opportunities:
Pursue careers in health information, coding, analytics, research, or systems and business analysis.
Domains of expertise:
Find out morePrimary Theme:
C: Data and Information QualitySecondary Theme:
B: Leadership and Advocacy -
Bachelor of medical sciences (major in genomics and medical informatics)
Institution:
Macquarie UniversitySummary:
Study the molecular basis of disease and current treatments. Gain the ability to assess technologies in genomics, proteomics, and metabolomics, and evaluate how ‘omics’ data supports disease prediction, monitoring, and personalised medicine.
Learning Outcomes:
Demonstrate knowledge of molecular disease mechanisms and treatments. Evaluate 'omics' technologies and their medical applications. Implement bioinformatics workflows, and assess ethical issues in managing patient data across healthcare, government, and industry sectors.Career Opportunities:
Drug discovery and development researcher, Forensic scientist, Genetic counsellor (after further study), Health researcher, Histologist, Hospital scientist, Medical researcher, Pharmacologist, Scientific officer
Domains of expertise:
Find out morePrimary Theme:
C: Data and Information QualitySecondary Theme:
E: Technology -
Bachelor of Science (Health Sciences) health data specialisation
Institution:
Curtin UniversitySummary:
The health data specialisation includes biostatistics, epidemiology, research design and health care systems. It consists of four units dealing with big data, health governance, Geographic Information System, visualisation and the application of health data produced by machine learning and artificial intelligence.
Learning Outcomes:
Think creatively to generate innovative solutions Decide what information is needed and where it might be found using appropriate technologies make valid judgements and synthesise information from a range of sources.Career Opportunities:
Health data analyst, health data scientist, project manager, digital health researcher.
Domains of expertise:
Find out morePrimary Theme:
C: Data and Information QualitySecondary Theme:
E: Technology -
Big data and health analytics
Institution:
La Trobe UniversitySummary:
Understand the value of big data in healthcare. Learn data analytics techniques, visualisation, infrastructure needs, and privacy issues. Explore data linkage and how analytics improve patient outcomes, efficiency, and service delivery across the healthcare system.
Learning Outcomes:
Assess Big Data's role in health. Evaluate analytics platforms, data sharing opportunities, and integration challenges. Collaborate to generate insights and solutions for real-world health problems.Career Opportunities:
Data Analyst, Project Manager, Transformation Manager, Digital health consultant
Domains of expertise:
Find out morePrimary Theme:
C: Data and Information QualitySecondary Theme:
C: Data and Information Quality, D: Information Enabled Care and Services, E: Technology -
Clinical Artificial Intelligence Honours Program
Institution:
University of New South WalesSummary:
UNSW’s Clinical Artificial Intelligence specialisation immerses students in the intersection of medicine and AI. Through a combination of advanced coursework and a research project, students explore health data science, machine learning, and clinical AI applications, preparing them to contribute to the evolving landscape of digital healthcare.
Learning Outcomes:
Develop proficiency in health data science and machine learning; conduct research in clinical AI; apply computational techniques to medical data; and critically evaluate AI's role in healthcare delivery.Career Opportunities:
Clinical AI researcher, health data analyst, medical informatics specialist, digital health consultant, biomedical data scientist.
Domains of expertise:
Find out morePrimary Theme:
E: Technology -
Communicating digital health
Institution:
La Trobe UniversitySummary:
Build skills to communicate effectively with diverse stakeholders using digital platforms. Learn strategic planning for digital health communication through case studies, websites, and social media tailored to different healthcare audiences.
Learning Outcomes:
Apply effective digital communication strategies. Analyse audience needs, justify tool use, and develop strategic communication plans for diverse healthcare stakeholders.Career Opportunities:
Change Analyst, Project coordinator, Comm professional
Domains of expertise:
Find out morePrimary Theme:
A: Digital ProfessionalismSecondary Theme:
A: Digital Professionalism, B: Leadership and Advocacy, D: Information Enabled Care and Services, E: Technology -
Concepts and Issues in Healthcare Computing
Institution:
University of WollongongSummary:
ISIT929 explores the foundational concepts of health computing, including technological limitations, privacy and security issues, and the economics of healthcare computing. Students will examine project management in healthcare computing, evaluation methods in medical informatics, and risk assessment in health informatics, preparing them to address key challenges in healthcare IT.
Learning Outcomes:
Understand contemporary health computing issues; identify privacy and confidentiality concerns in healthcare; and recognize challenges in managing healthcare computing projects, equipping students to navigate the complexities of healthcare information systems.Career Opportunities:
Health IT specialist, clinical informatics analyst, healthcare data manager, medical IT project coordinator.
Domains of expertise:
Find out morePrimary Theme:
E: Technology
About the directory
The Australian digital health course directory is a partnership with the 37 universities participating in the Australian Council of Senior Academic Leaders in Digital Health, the MRFF NASCENT project (National Infrastructure for real-time clinical AI trials) and the Digital Health CRC, who have collaborated to build digital health and artificial intelligence (AI) workforce capability and capacity across the health, information technology (IT) and computer science workforces.
The courses listed here can be filtered by the “domains of expertise” listed in The Australian Digital Health Workforce Capability Framework. The domains help Australian health sector employers and employees build a consistent understanding of the digital health skills and capabilities needed to survive and thrive in the health workforce now and in the future.
“Digital health is the foundation for all modern health service delivery and should improve safety, quality, productivity and efficiency.”
(Australian Digital Health Agency 2023, The National Digital Health Strategy 2023-2028”, Australian Government, Sydney)
University course submission form
If you are an Australian University and you would like to see your digital health courses represented here, please complete the university course submission form.
The form is a series of questions that captures the information about each course in a structured way that aligns with the format of the directory.
