Master of Predictive Analytics – Data Science major
MJRP-DATSC
Master of Predictive Analytics
| wdt_ID | wdt_created_by | wdt_created_at | wdt_last_edited_by | wdt_last_edited_at | Location | Curtin Singapore campus |
|---|---|---|---|---|---|---|
| 1 | Study method | On-campus | ||||
| 2 | Study mode | Full-time or part-time | ||||
| 3 | jeremycher | 17/12/2025 09:16 AM | jeremycher | 13/02/2026 03:21 PM | Intake | July, November |
| 4 | jeremycher | 17/12/2025 09:20 AM | jeremycher | 17/12/2025 05:35 PM | Duration | 16 months full-time (4 trimesters) or part-time equivalent |
Apply for the Trimester 2A July 2026 intake and receive a 50% scholarship
The Master of Predictive Analytics addresses the growing demand for data scientists who have the right blend of technical and analytical skills to meet the challenge of big data analytics. The Data Science Major consolidates data science and predictive analytics skills through core machine learning and project units along with a range of optional units. Available options extend knowledge in artificial intelligence, statistics, networking and internet of things, cloud computing, security and/or industrial automation. Graduates may find employment in data analytics across a wide range of fields, particularly as an enhancement to their current academic qualifications and experience.
What you’ll learn
- Apply advanced algorithms and statistical theory in the exploration, analysis and presentation of data.
- Provide innovative and creative solutions utilising data science knowledge and analytical methods.
- Communicate the implementation and outcomes of data collection, processing and presentation to both expert and non-technical audiences.
- Apply and devise new approaches to data science – potentially addressing global problems through analysis and simulation; endeavour to comply with standards and guidelines relevant to data science and to the application domain.
- Develop solutions and analyses that respect confidentiality, ethics, sustainability and maintain social responsibility.
- Demonstrate initiative and leadership when working independently and collaboratively using problem solving and decision-making skills.