GC-HLTDAT v.1 Graduate Certificate in Big Data and Digital Health
Registered full-time Duration:
6 Months
Course Overview
Graduate Certificates prepare students to develop advanced knowledge and skills for professional or highly skilled work and further learning corresponding to AQF level 8 qualifications.
The Graduate Certificate in Big Data and Digital Health (GC-HLTDAT) is designed for graduates from a broad range of disciplines who wish to take a leading role in the emerging field of data analytics. It is also ideal for existing health care workers who wish to extend their skills to include generating actionable knowledge from big data. The course includes a foundational unit of biostatistics and an introductory course regarding how big data is generated, communicated and governed in the health setting. Students then undertake an advanced unit in machine learning techniques for decision making using big data, and undertake one option. Although the focus is on applications of big data in health, the skills and knowledge gained will directly translate to those needed across many industries in which big data has become crucial to strategic decision making.
Additional Course Expenses
Students may be expected to purchase a number of textbooks and other essential study materials.
Course Entry and Completion Details
Applicants for a Graduate Certificate are required to meet University academic and English language entry standards; details are provided at http://study.curtin.edu.au/. Applicants generally require a Bachelor Degree or equivalent credit gained for recognised learning. All Curtin courses have compulsory and other core capabilities that are essential for demonstrating the achievement of course learning outcomes and graduation. Students who are unable to meet or demonstrate those requirements, now or in later stages during their studies, may seek reasonable adjustments by the University wherever possible to facilitate alternative ways of achieving those requirements. If reasonable adjustments cannot be accommodated, Curtin will discuss study options to find an alternative course of study or an exit degree. Any specific course entry and completion requirements must also be met.
Credit for Recognised Learning
Applications for credit towards a course are assessed on an individual basis. Credit reduces the amount of learning required to complete the course and may be granted for formal education qualifications, non-formal learning from non-award programs of study and informal learning through work experiences. Further information can be found at http://futurestudents.curtin.edu.au/non-school-leavers/rpl.cfm
Applications for credit towards a course are assessed on an individual basis. Credit reduces the amount of learning required to complete the course and may be granted for formal education qualifications, non-formal learning from non-award programs of study and informal learning through work experiences. Further information can be found at http://futurestudents.curtin.edu.au/non-school-leavers/rpl.cfm
Pathway to Further Study
Graduates may qualify for entry to some Graduate Diplomas and Master degrees. For further details, see the University website http://curtin.edu.au.
Course Organisation
Graduate Certificates contain a series of units which may include compulsory (core), optional or elective units to cater for student preferences.
Course Learning Outcomes
A graduate of this course can:
1. identify existing big data sets with a potential to provide strategic insights into a health issue.
2. apply knowledge in key areas of big data, visualisation, governance and machine learning to ensure robust information for strategic decision making in health.
3. communicate health data effectively including visualisations to audiences from the lay public to technical professionals.
4. ensure ethical utilisation of data from public and private populations.
5. demonstrate cultural awareness and sensitivity in local and international contexts; recognise the importance of communicating in a culturally respectful way.
6. use technologies that are in high demand in industry.
Duration and Availability
This fee paying course is two semesters part-time study and is offered both internally and fully online. Mid year commencement is available but applicants should be aware that minimum completion time would be 18 months.
Location and delivery Mode
| Year | Location | Period | All* | Internal | Partially Online Internal^ | External | Fully Online# |
|---|---|---|---|---|---|---|---|
| 2021 | Bentley Perth Campus | Semester 2 | Y | ||||
| 2021 | Bentley Perth Campus | Semester 2 | Y | ||||
| 2022 | Bentley Perth Campus | Semester 1 | Y | ||||
| 2022 | Bentley Perth Campus | Semester 1 | Y | ||||
| 2022 | Bentley Perth Campus | Semester 2 | Y | ||||
| 2022 | Bentley Perth Campus | Semester 2 | Y |
The information displayed above refers to study periods and locations where the course is available for first time entry. Students are normally only offered or admitted to a course once.
* The course itself may not be available either solely internally or externally but individual units may be offered in either or both of those modes. Prospective students should contact the Course Coordinator for further information.
^ Course and associated units are offered in this mode permitting International Onshore student enrolment.
# Course and associated units are offered in this online only mode and DO NOT permit International Onshore student enrolment.
| Course Structure | Hrs/Wk | Credit | |||
|---|---|---|---|---|---|
| Year 1 | |||||
| EPID6001 | v.2 | Quantitative Methods | 4.0 | 25.0 | |
| PUBH5005 | v.1 | Introduction to Big Data for Health | 3.0 | 25.0 | |
| PUBH5006 | v.1 | Machine Learning Applications in Health | 3.0 | 25.0 | |
| SELECT OPTIONS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 100.0 | |||||
| Options to Select from in Year 1 | Hrs/Wk | Credit | |||
| HEAL6043 | v.1 | Health Economics | 3.0 | 25.0 | |
| PUBH6003 | v.2 | Health Policy and Decision Making | 3.0 | 25.0 | |
| HEAL5005 | v.1 | Health System Planning | 3.0 | 25.0 | |
| MEDS6040 | v.1 | Qualitative Research in Public Health | 3.0 | 25.0 | |
| STAT6000 | v.2 | Epidemiology and Evidence | 4.0 | 25.0 | |
Further Information
If you need more course information, you may contact the relevant areas: For Current Students: Student Services Office, please click here for further details: http://students.curtin.edu.au/contact_offices.cfm. For Domestic Future Students: Curtin Connect Future Students, enquiries: https://future.connect.curtin.edu.au/ , Tel: +61-1300 222 888. For International Future Students: Curtin International, email: international@curtin.edu.au, Tel: +61-8-9266 7331.
Course Structure Disclaimer
Curtin University reserves the right to alter the internal composition of any course to ensure learning outcomes retain maximum relevance. Any changes to the internal composition of a course will protect the right of students to complete the course within the normal time frame and will not result in additional cost to students through a requirement to undertake additional units.
Disclaimer
Information in this publication is correct at the time of printing but may be subject to change.
In particular, the University reserves the right to change the content and/or method of assessment, to change or alter tuition fees of any unit of study, to withdraw any unit of study or program which it offers, to impose limitations on enrolment in any unit or program, and/ or to vary arrangements for any program.
This material does not purport to constitute legal or professional advice.
Curtin accepts no responsibility for and makes no representations, whether express or implied, as to the accuracy or reliability in any respect of any material in this publication.
Except to the extent mandated otherwise by legislation, Curtin University does not accept responsibility for the consequences of any reliance which may be placed on this material by any person.
Curtin will not be liable to you or to any other person for any loss or damage (including direct, consequential or economic loss or damage) however caused and whether by negligence or otherwise which may result directly or indirectly from the use of this publication.
International students
International students studying in Australia on a student visa can only study full-time and there are also specific entry requirements that must be met. As some information contained in this publication may not be applicable to international students, refer to international.curtin.edu.au for further information. Australian citizens, permanent residents and international students studying outside Australia may have the choice of full-time, part-time and external study, depending on course availability and in-country requirements.
