Master of Health Technology Innovation
For more information on degree program requirements visit CUSP.
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Health Technology Innovation |
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Master of Health Technology Innovation |
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| Students complete 96 credit points, including: | |||
| 1. 24 credit points of the Core units of study; and | |||
| 2. a minimum of 24 credit points of the Specialist units of study; and | |||
| 3. a minimum of 12 credit points of the Project units of study; and | |||
| 4. a maximum of 24 credit points of the Foundation units of study. | |||
Graduate Diploma in Health Technology Innovation |
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| Students complete 60 credit points, including: | |||
| 1. a minimum of 12 credit points of the Core units of study; and | |||
| 2. a minimum of 12 credit points of the Specialist units of study; and | |||
| 3. a maximum of 12 credit points of the Foundation units of study. | |||
Core Units |
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| HTIN5001 Nature of Systems |
6 | A The unit is aimed at graduates and researchers who are interested in developing skills in complex systems analysis. The unit is highly interdisciplinary and as such, there is no assumed prior knowledge or course prerequisites. However, students who will benefit most from the unit will be those who are open-minded and motivated to think outside the box. The unit has been deliberately designed as a new teaching and learning experience. |
Semester 1 |
| HTIN5002 Quality Frameworks for Health Innovation |
6 | P at least 36cp of 3000-level or higher units and a WAM of 70+ |
Semester 2 |
| HTIN5003 Health Technology Evaluation |
6 | Semester 2b |
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| HTIN5004 Integrated Approaches to Chronic Disease |
6 | Semester 1 |
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Specialist Units |
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| BETH5202 Human and Animal Research Ethics |
6 | N BETH5208 If an insufficient number of students opt to attend seminars on campus, the coordinator may choose to teach this unit of study in online mode only. Students will be contacted if this occurs. |
Semester 2 |
| BETH5203 Ethics and Public Health |
6 | N BETH5206 If an insufficient number of students opt to attend intensives on campus, the coordinator may choose to teach this unit of study in online mode only. Students will be contacted if this occurs. |
Semester 2 |
| BMET9921 Biomedical Engineering Technology |
6 | A 1000-level biology, 1000-level materials science and some engineering design N MECH3921 OR BMET3921 OR AMME5921 OR BMET5921 |
Semester 2 |
| BMET9961 Biomechanics and Biomaterials |
6 | A AMME9901 or BMET9901 or 6 credit points of junior biology, 6 credit points of junior chemistry, 6 credit points of junior materials science, 6 credit points of engineering design, Chemistry, biology, materials engineering, and engineering design at least at the Junior level. N AMME5961 OR AMME9961 OR MECH4961 OR BMET4961 |
Semester 2 |
| BMET9971 Tissue Engineering |
6 | A AMME9901 or BMET9901 or [6 credit points of 1000-level biology and 6 credit points of 1000-level chemistry] P (AMME5921 or BMET5921 OR BMET9921) N AMME5971 OR AMME9971 OR AMME4971 OR BMET4971 |
Semester 1 |
| CLTR5001 Trial Design and Methods |
6 | Semester 1 |
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| COMP5046 Natural Language Processing |
6 | A Knowledge of an OO programming language |
Semester 1 |
| COMP5048 Visual Analytics |
6 | A It is assumed that students will have experience with data structure and algorithms as covered in COMP9103 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions). Note: Department permission required for enrolment in the following sessions:Semester 1 |
Semester 1 Semester 2 |
| COMP5206 Information Technologies and Systems |
6 | Semester 1 Semester 2 |
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| COMP5216 Mobile Computing |
6 | A COMP5214 OR COMP9103. Software Development in JAVA, or similar introductory software development units. |
Semester 2 |
| COMP5318 Machine Learning and Data Mining |
6 | A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138 |
Semester 1 Semester 2 |
| COMP5349 Cloud Computing |
6 | A Good programming skills, especially in Java for the practical assignment, as well as proficiency in databases and SQL. The unit is expected to be taken after introductory courses in related units such as COMP5214 or COMP9103 Software Development in JAVA |
Semester 1 |
| COMP5424 Information Technology in Biomedicine |
6 | A It is assumed that students will have experience with software development as covered in SOFT2412 or COMP9103 (or equivalent UoS from different institutions). |
Semester 1 |
| COMP5427 Usability Engineering |
6 | A It is assumed that students will have skills with modelling as covered in ISYS2110 or ISYS2120 or COMP9110 or COMP9201 (or equivalent UoS from different institutions). |
Semester 2 |
| DATA5207 Data Analysis in the Social Sciences |
6 | A COMP5310 Note: Department permission required for enrolment in the following sessions:Intensive December |
Intensive December Semester 1 |
| ELEC5622 Signals, Software and Health |
6 | Semester 2 |
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| GLOH5135 Global Health Systems and Delivery |
6 | N HPOL5001 |
Semester 1 |
| GLOH5201 Global Qualitative Health Research |
6 | P GLOH5102 N PUBH5500 or QUAL5005 or QUAL5006 or PUBH5505 |
Semester 2 |
| HSBH5003 e-Health for Health Professionals This unit of study is not available in 2020 |
6 | Semester 1 |
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| INFO5306 Enterprise Healthcare Information Systems |
6 | A The unit is expected to be taken after introductory courses in related units such as COMP5206 Information Technologies and Systems (or COMP5138/COMP9120 Database Management Systems). |
Semester 2 |
| INFO5992 Understanding IT Innovations |
6 | P 24 credit points of units at 5000-level or above N PMGT5875 |
Semester 1 Semester 2 |
| ISYS5050 Knowledge Management Systems |
6 | A It is assumed that students will have good understanding of relational data model and database technologies as covered in ISYS2120 or COMP9220 or COMP5206 (or equivalent UoS from different institutions). P COMP5206 OR ISYS2160 |
Semester 1 |
| MRTY5133 Medical Image Optimisation |
6 | Semester 2 |
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| NURS5070 Creating a Culture of Safety and Quality |
6 | Semester 2 |
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| PUBH5010 Epidemiology Methods and Uses |
6 | N BSTA5011 or CEPI5100 |
Semester 1 |
| PUBH5224 Advanced Epidemiology |
6 | P (PUBH5010 or CEPI5100) and PUBH5018 |
Semester 2 |
| PUBH5422 Health and Risk Communication This unit of study is not available in 2020 |
6 | Semester 2 |
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| PUBH5500 Advanced Qualitative Health Research This unit of study is not available in 2020 |
6 | N QUAL5005 or QUAL5006 |
Semester 1 Semester 2 |
| STAT5003 Computational Statistical Methods |
6 | P STAT5002 Note: Department permission required for enrolment |
Semester 1 Semester 2 |
Project Units |
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Capstone Project |
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| Students complete either HTIN6011 and HTIN6012 (6 + 6 credit points over two semesters) or HTIN6020 (12 credit points in one semester) | |||
| HTIN6011 Health Technology Innovation Capstone A |
6 | N HTIN6030 or HTIN6032 or HTIN6020 Note: Department permission required for enrolment A candidate for the Master of Health Technology Innovation who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit. Eligible students for the Health Technology Innovation Capstone project will be required to complete both HTIN6011 (6CPS) and HTIN6012 (6 CPS), totalling 12 CPS. Eligible students of the Master of Health Technology Innovation with a Distinction average or above (after completion of 24 credit points) may choose HTIN6020, HTIN6011/HTIN6012 or HTIN6030/HTIN6032. |
Semester 1 Semester 2 |
| HTIN6012 Health Technology Innovation Capstone B |
6 | C HTIN6011 N HTIN6030 or HTIN6032 or HTIN6020 Note: Department permission required for enrolment A candidate for the Master of Health Technology Innovation who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit. Eligible students for the Health Technology Innovation Capstone project will be required to complete both HTIN6011 (6CPS) and HTIN6012 (6 CPS), totalling 12 CPS. Eligible students of the Master of Health Technology Innovation with a Distinction average or above (after completion of 24 credit points) may choose HTIN6020, HTIN6011/HTIN6012 or HTIN6030/HTIN6032. |
Semester 1 Semester 2 |
| HTIN6020 Health Technology Innovation Capstone |
12 | P A candidate for the Master of Health Technology Innovation who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit. N HTIN6030 OR HTIN6032 OR HTIN6011 OR HTIN6012. Students of the Master of Health Technology Innovation with Distinction average marks or above (after completion of 24 credit points) may choose either this unit or HTIN6011/HTIN6012 or HTIN6030/HTIN6032. Note: Department permission required for enrolment |
Semester 1 Semester 2 |
Dissertation Project |
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| HTIN6030 Health Technology Innovation Thesis A |
12 | N HTIN6011 or HTIN6012 or HTIN6020 Note: Department permission required for enrolment A candidate for the Master of Health Technology Innovation who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit. Eligible students for the Health Technology Innovation Thesis project will be required to complete both HTIN6030 (12 CPS) and HTIN6032 (12 CPS), totaling 24 CPS. Eligible students of the Master of Health Technology Innovation with a Distinction average or above (after completion of 24 credit points) may choose HTIN6020, HTIN6011/HTIN6012 or HTIN6030/HTIN6032. |
Semester 1 Semester 2 |
| HTIN6032 Health Technology Innovation Thesis B |
12 | C HTIN6030 N HTIN6011 or HTIN6012 or HTIN6020 Note: Department permission required for enrolment A candidate for the Master of Health Technology Innovation who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit. Eligible students for the Health Technology Innovation Thesis project will be required to complete both HTIN6030 (12 CPS) and HTIN6032 (12 CPS), totaling 24 CPS. Eligible students of the Master of Health Technology Innovation with a Distinction average or above (after completion of 24 credit points) may choose HTIN6020, HTIN6011/HTIN6012 or HTIN6030/HTIN6032. |
Semester 1 Semester 2 |
Foundation Units |
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| Students may complete a maximum of 24 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). | |||
| BETH5102 Philosophy of Medicine |
6 |
Online only. |
Semester 1 |
| COMP5310 Principles of Data Science |
6 | A It is assumed that students will have good understanding of relational data model and database technologies as covered in ISYS2120 or COMP9120 (or equivalent UoS from different institutions). N INFO3406 |
Semester 1 Semester 2 |
| COMP9007 Algorithms |
6 | A This unit of study assumes that students have general knowledge of mathematics (especially Discrete Math) and problem solving. Having moderate knowledge about Data structures can also help students to better understand the concepts of Algorithms taught in this course. N COMP5211 |
Semester 1 Semester 2 |
| COMP9103 Software Development in Java |
6 | N COMP5214 |
Semester 1 Semester 2 |
| COMP9110 System Analysis and Modelling |
6 | A Experience with a data model as in COMP9129 or COMP9103 or COMP9220 or COMP9120 or COMP5212 or COMP5214 or COMP5028 or COMP5138 N ELEC3610 OR ELEC5743 OR INFO2110 OR INFO5001 OR ISYS2110 |
Semester 1 Semester 2 |
| COMP9120 Database Management Systems |
6 | A Some exposure to programming and some familiarity with data model concepts N INFO2120 OR INFO2820 OR INFO2005 OR INFO2905 OR COMP5138 OR ISYS2120. Students who have previously studied an introductory database subject as part of their undergraduate degree should not enrol in this foundational unit, as it covers the same foundational content. |
Semester 1 Semester 2 |
| COMP9121 Design of Networks and Distributed Systems |
6 | N COMP5116 |
Semester 2 |
| GLOH5101 Foundations of Global Health |
6 | N MIPH5131 or MIPH5132 |
Semester 1 |
| INFO9003 IT for Health Professionals |
6 | N INFO5003 |
Semester 2 |
| MRTY5132 Medical Image Perception |
6 | Semester 1 |
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| PUBH5018 Introductory Biostatistics |
6 | Semester 1 |
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| STAT5002 Introduction to Statistics |
6 | A HSC Mathematics |
Semester 1 Semester 2 |