Graduate Certificate in Predictive Analytics
You will learn the basics of predictive data analytics, and the concepts of data analysis, computing, and visualization. You will also find out how these concepts can be used to predict future scenarios.
Why study
- Data analytics is used to analyze data in order to draw conclusions - whereas predictive analytics is a newly emerging field that allows us to utilize this data in order to predict future outcomes, allowing companies to make better-informed decisions and execute efficient strategies on disruptive technologies.
- Predictive analytics can be applied to many fields of interest, from resource operations engineering, asset management and productivity, and finance and investment, to actuarial science and health economics.
Campus Information
Perth
In close proximity to everything Perth has to offer, it boasts 116 hectares of bold architecture nestled amongst beautifully landscaped gardens. Thousands of students fill the campus grounds every day of semester, creating a vibrant, multicultural atmosphere. Over the past decade, the campus has undergone some major changes, with a variety of stunning modern buildings now interspersed with the original 1960s architecture. The majority of Curtin courses are delivered on this campus.
Intakes
- Feb Deadline: Feb
Application Processing Time in Days: 20
Application Process
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Experts in predictive analytics are well placed to handle the ‘big data’ issues of the future. They understand how to overlay historical and prediction data with supply chain financial and other business data, and are able to correlate probability assessments for better-informed decisions.
PSW Opportunity
- N/A
Admission Requirement / Eligibility Criteria
- A bachelor degree in science, engineering, business or commerce AND university-level study in mathematics, programming or logic systems
For More Infromation Pls Contact To Our PSA Counselor.
- Course Code: 092979A
- Course Type: Full Time
- Course Level: Post Graduate Diploma or Certificate
- Duration: 06 Month
-
Total Tuition Fee:
18081 AUD
Annual Cost of Living: 24505 AUD
Application Fee: N/A
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