Faculty of Engineering |
Course: | Graduate Diploma in Health Technology Innovation (2019) |
CP Required: | 60 |
Min FT Duration: | 1.50 Years |
Min PT Duration: | N/A |
Faculty/School: | Faculty of Engineering |
Years Offered: | 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015 |
Type | CP | CP From |
List
|
24 |
Select from
Unit Blocks: Foundation Units Core Units or other units. Note: HTIN5001 - Nature of Systems and HTIN5004 - Integrated Approaches to Chronic Disease are available in Semesters 1 & 2. HTIN5002 - Quality Frameworks for Health Innovation is available in Semester 1 in Block Mode and Semester 2 (normal). HTIN5003 - Health Technology Evaluation is available in Semester 2 Block Mode only. |
Note:
Note that for 2015, the first intake is expected in Semester 2. There will be no enrolments in the Master of Health Technology Innovation for Semester 1, 2015.
Candidates for the Master of Health Technology Innovation must complete 12 credit points of the Core units of study.
Students may complete a maximum of 12 credit points of the Foundation units of study. Candidates will be required to select units which complement their prior background and qualifications (subject to assessment by the Academic Director).
Type | CP | CP From |
List
|
24 |
Select from
Unit Blocks: Foundation Units Core Units Specialist Units |
Note: Candidates for the Master of Health Technology Innovation must complete a minimum of 12 credit points from the listed Specialist units of study.
Type | CP | CP From |
12 |
Select from
Unit Block: Specialist Units |
Note: The tables above assume completion in 1.5 years by taking a full-time load in Year 1 - for first and second semester (24 credit points per semester) and a part-time load in Year 2 - first semester (12 credit points).
Unit Code | Unit Name | CP | Sessions Offered |
BETH5102 | Philosophy of Medicine | 6 |
Semester 1 |
BMET5951 | Fundamentals of Neuromodulation [not running in 2020] | 6 |
Semester 1 |
COMP5206 | Information Technologies and Systems | 6 |
Semester 2 |
COMP5310 | Principles of Data Science | 6 |
Semester 1 Semester 2 |
COMP9007 | Algorithms [not running this year] | 6 |
Semester 1 Semester 2 S1 Intensive |
COMP9103 | Software Development in Java [not running this year] | 6 |
Semester 1 Semester 2 |
COMP9110 | System Analysis and Modelling | 6 |
Semester 1 |
COMP9120 | Database Management Systems | 6 |
Semester 1 Semester 2 |
COMP9121 | Design of Networks & Distributed Systems | 6 |
Semester 2 |
INFO9003 | Information Technology for Health Professionals | 6 |
Semester 2 Block Mode |
MRTY5132 | Medical image perception | 6 |
Semester 1 |
PUBH5010 | Epidemiology Methods and Uses | 6 |
Semester 1 |
PUBH5018 | Introductory Biostatistics | 6 |
Semester 1 |
QUAL5002 | Qualitative Methodologies & Study Design | 6 |
Int May |
Note: Students may complete a maximum of 12 credit points of the Foundation units of study. Candidates will be required to select units which complement their prior background and qualifications (subject to assessment by the Academic Director).
Unit Code | Unit Name | CP | Sessions Offered |
HTIN5001 | Nature of Systems | 6 |
Semester 1 Semester 2 |
HTIN5002 | Quality Frameworks for Health Innovation | 6 |
Semester 2 Block Mode |
HTIN5003 | Health Technology Evaluation | 6 |
Semester 2b Semester 2 Block Mode |
HTIN5004 | Integrated Approaches to Chronic Disease | 6 |
Semester 1 Semester 2 |
Note: Candidates for the Graduate Diploma in Health Technology Innovation must complete a minimum of 12 credit points from the listed Core units of study.
Note:
Candidates for the Graduate Diploma in Health Technology Innovation must complete a minimum of 12 credit points from the listed Specialist units of study.
Please note: some units may require Special Permission for enrolment.