Graduate Certificate in Digital Transformation of Health (GC-DTHLTH) // Course structure
Course structure
The Graduate Certificate in Digital Transformation of Health requires the successful completion of 50 credit points.
50-point program: Two compulsory subjects (25 points: 2 x 12.5 point subjects) AND Two elective subjects (25 points: 2 x 12.5 point subjects)
Students must complete the following two compulsory subjects
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ISYS90069 | Digital Transformation of Health |
Semester 1 (On Campus - Parkville)
July (Online)
|
12.5 |
| INFO90011 | Digital Learning Health Systems | Semester 1 (Online) |
12.5 |
Students must choose two electives from the following list:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| INFO90001 | No longer available | ||
| POPH90013 | Biostatistics |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| POPH90263 | Technology and Ageing | Term 4 (Online) |
12.5 |
| POPH90294 | No longer available | ||
| PADM90014 | Leading Healthcare Change for Impact | August (On Campus - Parkville) |
12.5 |
| POPH90299 | Healthcare Environment Evaluation | October (On Campus - Parkville) |
12.5 |
| COMP90059 | Introduction to Programming |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| LAWS70421 | Law and Emerging Health Technologies | Not available in 2025 | 12.5 |
| REHB90009 | Innovation and Emerging Technologies | Term 3 (Online) |
12.5 |
| POPH90304 | Sustainability and Healthcare | May (Dual-Delivery - Parkville) |
12.5 |
| COMP90090 | Text Analytics for Health | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90089 | Machine Learning Applications for Health | Semester 2 (On Campus - Parkville) |
12.5 |
| COMP90094 | Transforming Healthcare with Data and AI | Semester 2 (Online) |
12.5 |
Last updated: 28 February 2025