Graduate Certificate in Big Data and Digital Health
Curtin University
Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00301J
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.
Structure
Credit Points: 100
Subjects
- EPID6001 Quantitative Methods
- PUBH5005 Introduction to Big Data for Health
- PUBH5006 Machine Learning Applications in Health
- HEAL5005 Health System Planning
- HEAL6043 Health Economics
- MEDS6040 Qualitative Research in Public Health
- PUBH6003 Health Policy and Decision Making
- STAT6000 Epidemiology and Evidence
Standard entry requirements
Applicants generally require a Bachelor Degree or equivalent credit gained for recognised learning.
Study information
| Campus | Fees | Entry | Mid year intake | Attendance |
|---|---|---|---|---|
| Curtin Perth | Domestic: $14,300 | No |
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