Unit of study table
Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
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Master of Health Technology Innovation |
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Core, Specialist, Project and Foundation units of study for the Master of Health Technology Innovation and Graduate Diploma in Health Technology Innovation are shown in the following tables. | |||
Candidates for the Master of Health Technology Innovation are required to complete 96 credit points from the units of study as follows: | |||
1. 24 credit points of the Core units of study | |||
2. a minimum of 24 credit points of the Specialist units of study | |||
3. a minimum of 12 credit points of the Project units of study | |||
4. a maximum of 24 credit points of 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). | |||
Candidates for the Graduate Diploma in Health Technology Innovation are required to complete 60 credit points from the units of study as follows: | |||
1. a minimum of 12 credit points of the Core units of study | |||
2. a minimum of 12 credit points of the Specialist units of study | |||
3. a maximum of 24 credit points of the Foundation units of study | |||
If a reduction in the volume of learning is given to candidates of the Graduate Diploma or the Master's degree, this is to be applied to Foundation or Specialist units of study related to your prior background and qualifications. | |||
Core Units |
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Candidates for the Master of Health Technology Innovation must complete a minimum of 24 credit points from the listed Core units of study. | |||
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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Candidates for the Master of Health Technology Innovation must complete a minimum of 24 credit points from the listed Specialist units of study. | |||
BETH5202 Human and Animal Research Ethics |
6 | N BETH5208 If an insufficient number of students opt to attend seminars on campus, the co-ordinator 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 |
Semester 2 |
BMET5921 Biomedical Engineering Technology 2 |
6 | A 1000-level biology, 1000-level materials science and some engineering design N MECH3921 OR BMET3921 OR AMME5921 |
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) 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 basic knowledge of data structures, algorithms and programming skills. |
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 | Semester 1 |
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COMP5427 Usability Engineering |
6 | Semester 2 |
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DATA5207 Data Analysis in the Social Sciences |
6 | A COMP5310 Note: Department permission required for enrolment |
Intensive December Semester 1 |
ELEC5622 Signals, Software and Health |
6 | Semester 2 |
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GLOH5201 Global Qualitative Health Research |
6 | N PUBH5500 or QUAL5005 or QUAL5006 or PUBH5005 |
Semester 2 |
HSBH5003 e-Health for Health Professionals |
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 | A INFO5990 N PMGT5875 |
Semester 1 Semester 2 |
ISYS5050 Knowledge Management Systems |
6 | A An undergraduate degree in Computer Science or Information Systems. Good grasp of database technologies and the role of information systems in organisations. |
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 2019 |
6 | Semester 2 |
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PUBH5500 Advanced Qualitative Health Research This unit of study is not available in 2019 |
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 |
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 |
BMET5951 Fundamentals of Neuromodulation |
6 | A ELEC1103 or equivalent, (MECH2901 OR BMET2901 OR AMME9901 OR BMET9901), and (MECH3921 or BMET3921 or AMME5921 OR BMET5921) N AMME5951 |
Semester 1 |
COMP5310 Principles of Data Science |
6 | 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 structure can also help students to better understand the concepts of Algorithms will be 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 |
Project Units |
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Candidates for the Master of Health Technology Innovation must complete a minimum of 12 credit points of Project units of study. | |||
Health Technology Innovation Capstone Project |
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A candidate for the Master of Health Technology Innovation must complete 24 credit points from Core, Specialist or Foundation units of study before taking the Health Technology Innovation Capstone Project. Candidates who do not achieve a credit average may have their eligibility for the Capstone Project subject to review by the Academic Director. | |||
The minimum requirement for the Health Technology Innovation Capstone Project is 12 credit points. Candidates can 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 |
Health Technology Innovation Dissertation Project |
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With permission from the Dean or nominee, a candidate for the Master of Health Technology Innovation who has completed 24 credit points from Core, Specialist or Foundation units of study with at least Distinction average marks may take Health Technology Innovation Dissertation Project units. | |||
The minimum requirement for the Health Technology Dissertation Project is 24 credit points (HTIN6030 and HTIN6032). | |||
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 |
For more information on degree program requirements visit CUSP https://cusp.sydney.edu.au