Note: This course version is currently under review and is subject to change.
ProgramsSCSCS(PG)DHDSGraduate Certificate in Digital Health and Data Science (2024)
Show information forcommencing students (ie. started First Year then).
The course requirements described here apply to persons who commenced their candidature after 1 January, 2024 and persons who commenced their candidature prior to 1 January, 2024 who elect to proceed under 2024 resolutions.
Candidates who commenced prior to 1 January, 2024 may complete the requirements in accordance with the resolutions in force at the time of their commencement, provided that requirements are completed by 1 January, 2029, or later date as the faculty may, in special circumstances, approve.
Candidates who first commenced in 2024, and are re-enrolling for 2025 or later, should be aware that there may have been changes in units of study offered since, Check that units are still available by clicking the unit of study link in the course table. See 2025 version of this course for up to date unit of study list.
For details of relevant resolutions see faculty handbook at sydney.edu.au/handbooks.
Print View | Download as PDF Administrative Information (Fees, ATAR etc.)
Year 1 - Semester 1
SITS Diet Block/Type | CP | Unit of Study/Unit Block |
6 | Data Science Selectives | |
6 | Digital Health Selectives | |
List | 6 | Select from Data Science Selectives Data Science Electives |
List | 6 | Select from Digital Health Selectives Digital Health Electives |
Block 1 - Data Science Selectives (Min CP: 6,Max CP: 12)
Unit Code | Unit Name | CP | Sessions Offered |
HTIN5005 | Applied Healthcare Data Science | 6 |
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
HTIN5006 | Foundations of Healthcare Data Science | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
Block 2 - Digital Health Selectives (Min CP: 6,Max CP: 12)
Unit Code | Unit Name | CP | Sessions Offered |
BIDH5000 | Digital Health Innovation and Implementation | 6 |
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
BIDH5003 | Foundations of Digital Health | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
Block 3 - Data Science Electives (Max CP: 6)
Unit Code | Unit Name | CP | Sessions Offered |
BMET5933 | Biomedical Image Analysis | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
BMET9925 | AI, Data, and Society in Health | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
COMP5046 | Natural Language Processing | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
COMP5048 | Visual Analytics | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
COMP5318 | Machine Learning and Data Mining | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
COMP5424 | Information Technology in Biomedicine | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
COMP9001 | Introduction to Programming | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
COMP9003 | Object-Oriented Programming | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
HTIN5003 | Health Technology Evaluation | 6 |
Semester 2b
Semester 2b
Semester 2 Block Mode
Semester 2 Block Mode runs concurrently with normal Semester 2 using intensive block teaching sessions rather than weekly classes. For Semester dates look up Semester 2 on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
INFO5306 | Enterprise Healthcare Information Systems | 6 |
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
STAT5002 | Introduction to Statistics | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
STAT5003 | Computational Statistical Methods | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
Block 4 - Digital Health Electives (Max CP: 6)
Unit Code | Unit Name | CP | Sessions Offered |
BETH5204 | Clinical Ethics | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
BMET5992 | Regulatory Affairs in the Medical Industry | 6 |
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
CEPI5100 | Introduction to Clinical Epidemiology | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
COMP5427 | Usability Engineering | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
HPOL5012 | Leadership in Health | 6 |
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
HPOL5014 | Foundations Health Technology Assessment | 6 |
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
IDEA9106 | Design Thinking | 6 |
Semester 1
For Semester 1 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
Semester 2
For Semester 2 calendar dates look up `Semester 1` on the university timetable website at https://web.timetable.usyd.edu.au/calendar.jsp
|
Note: In exceptional circumstances, departmental permission may be sought and given for enrolment in an alternative relevant elective unit of study.
Course: | Graduate Certificate in Digital Health and Data Science (2024) |
CP Required: | 24 |
Min FT Duration: | N/A |
Min PT Duration: | 1.00 Years |
Faculty/School: | School of Computer Science |
Years Offered: | 2025, 2024, 2023, 2022 |
Requirements: | The GCDHDS exists primarily as an entry pathway into the Masters program and students complete a subset of the MDHDS units with an expectation that they complete the rest if they progress onto the Masters course. The GCDHDS comprises 24 credit points of study. These are split equally between data science and digital health topics. They must constitute: (a) 6 credit points of Data Science Selective units of study (b) A further 6 credit points of either Data Science Selective or Data Science Elective units of study (c) 6 credit points of Digital Health Selective units of study (d) A further 6 credit points of either Digital Health Selective or Digital Health Elective units of study Completion time Enrolment in the Graduate Certificate in Digital Health and Data Science may be either part-time or full-time with a maximum completion time of two years. For further details of course rules, see the Faculty Handbook at http://sydney.edu.au/handbooks |