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Applied data science bridges theory and practice, producing graduates who can immediately implement machine learning models and analytics solutions in real-world business scenarios.

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Applied data science programs focus on the practical use of analytics and machine learning to solve real-world problems across business, government and industry. Unlike theory-heavy data science degrees, these programs emphasise end-to-end workflowsβfrom data collection and cleaning to modelling, deployment and communication.
A Master of Applied Data Science is ideal for graduates and professionals seeking hands-on, job-ready skills that translate directly into workplace impact.
| Country | Institution | Annual Tuition (approx.) | Intakes | English Proficiency (indicative) |
|---|---|---|---|---|
| Australia | Deakin University | AUD $43,000 | Feb, Jul | IELTS 6.5 (min 6.0) |
| Australia | UTS (University of Technology Sydney) | AUD $48,000 | Feb, Jul | IELTS 6.5β7.0 (min 6.0) |
| Australia | RMIT University | AUD $42,240 | Feb, Jul | IELTS 6.5 (min 6.0) |
| Australia | La Trobe University | AUD $41,600 | Feb, Jul | IELTS 6.5 (min 6.0) |
| Australia | Swinburne University | AUD $44,900 | Feb, Jul | IELTS 6.5 (min 6.0) |
| United Kingdom | University of Edinburgh | GBP Β£18,100βΒ£40,900 | Sep | IELTS 6.5β7.0 overall |
| United States | Syracuse University | USD $33,700/yr | Aug/Sep | IELTS 6.5β7.0 / TOEFL 79β100 |
| Canada | UBC Okanagan | CAD $47,735 | Sep | IELTS 6.5 overall |
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