GradDipDigHlth
Credit points
80
Minimum duration
1 year full-time or equivalent part-time.
Approved locations
- ACU Online
Note:
The course will be offered through ACU Online.
EFTSL value of units : All 10cp units in this course have an EFTSL value of 0.125. Units with a credit point (cp) value of a multiple of 10 have corresponding EFTSL values.
Admission requirements
An applicant must also comply with the Admission to Coursework Programs Policy.
International applicants must also meet the English Language Proficiency requirements as defined in the Admission to Coursework Programs Policy.
To be eligible for admission to the course, an applicant must have completed the following prerequisites:
Bachelor degree in Health or Information Technology
OR
Bachelor degree in any other field of study
OR
ACU’s Graduate Certificate in Digital Health
NOTE: Applicants having completed ACU’s Graduate Certificate in Digital Health will be eligible for recognition of prior learning of up to 40 credit points.
Disclaimer: The course entry requirements above are for 2023 Admission.
Completion requirements
Breakdown of credit points required to complete the course:
Students admitted with a Bachelor degree in Health or in any other field of study:
2.1 Pathway 1 (80 cp)
To qualify for the Graduate Diploma in Digital Health, a student must complete 80 cp from the Schedule of Health and IT Unit Offerings, consisting of:
At least 30 cp from Health Units (Part A)
At least 30 cp from IT Units (Part B)
20 cp from Elective units (Part C)
Students admitted with a Bachelor degree in Information Technology:
2.2 Pathway 2 (80 cp)
To qualify for the Graduate Diploma in Digital Health, a student must complete 80 cp from the Schedule of Unit Offerings, consisting of:
50 cp from Health Units (Part A)
10 cp from ITEC613 Introduction to data science (PART B)
20 cp from Elective units (Part C)
Exit points
A student from Pathway 1 who has completed 40 cp of specified units from the Schedule of Unit Offerings, including at least 10 cp from Health Units and at least 10 cp from IT units, may exit with the Graduate Certificate in Digital Health.
A student from Pathway 2 who has completed 40 cp of specified units from the Schedule of Unit Offerings, including at least 20 cp from Health Units, may exit with the Graduate Certificate in Digital Health.
Progression requirements
Students are required to follow the pattern of unit enrolment set out in the relevant Course Enrolment Guide, unless otherwise approved by the Course Coordinator. In all aspects of progress through the course, students will be advised by the Course Coordinator.
Part A : Health Units
Complete 30 to 50 credit points from the following:
| Code | Title | Credit Points | Notes |
|---|---|---|---|
| HLSC505 | Health Data Fundamentals | 10 | |
| HLSC506 | Strategic Management In Digital Health Service Delivery | 10 | |
| HLSC674 | Electronic Health Records, Health Data Exchange & Standards | 10 | |
| HLSC675 | Health Knowledge Management | 10 | |
| PHIL519 | Ethical Practice in Digital Health | 10 |
Part B : Information Technology Units
Complete 10 to 40 credit points from the following:
| Code | Title | Credit Points | Notes |
|---|---|---|---|
| ITEC610 | Introduction to Data Science with Python | 10 | |
| ITEC618 | Programming Concepts | 10 | |
| ITEC617 | Modern Database Management | 10 | |
| ITEC613 | Machine Learning with Scikit-Learn | 10 | |
| ITEC615 | Information Technology Essentials | 10 |
Part C : Elective Units
Complete exactly 20 of the following:
| Code | Title | Credit Points | Notes |
|---|---|---|---|
| HLSC605 | Leadership in Health Care | 10 | |
| HLSC606 | Workforce Management | 10 | |
| HLSC607 | Policy and Planning in Health Care | 10 | |
| HLSC660 | Redesign in Health Service Delivery | 10 | |
| HLSC661 | Facilitative Leadership, Coaching and Mentoring | 10 | |
| HLSC603 | Organisational Culture and Management | 10 | |
| HLSC604 | Quality and Safety in Health Care | 10 | |
| ITEC622 | Data Analytics and Visualisation | 10 | |
| ITEC623 | Deep Learning and Emerging topics in Artificial Intelligence | 10 | |
| ITEC624 | Network Security and Applications | 10 | |
| ITEC627 | Advanced Programming Concepts | 10 | |
| ITEC632 | Data Mining Techniques and Applications | 10 |