How selective is admission to NUS Singapore's MSc in Data Science and Machine Learning for Indian students?
Admission to NUS's MSc in Data Science and Machine Learning is extremely selective for Indian students, with an estimated acceptance rate of just 5 to 10 percent. Competitive applicants typically hold a CGPA above 8.5 from IITs or NITs, a GRE score above 320, and IELTS 7 or higher.
Getting into NUS's MSc in Data Science and Machine Learning is genuinely tough if you are applying from India, since the estimated acceptance rate sits at just 5 to 10 percent. Meeting the published minimum requirements will not be enough on its own, you need a profile that stands out against thousands of similarly qualified applicants.
What a Competitive Profile Looks Like
| Factor | Competitive Benchmark |
|---|---|
| Undergraduate CGPA | 8.5+/10, or 9.0+ outside IITs/NITs |
| GRE score | 320 or higher, recommended |
| English proficiency | IELTS 7.0+ or TOEFL 100+ |
| Work experience | 1 to 3 years gives a real edge |
What Else the Committee Looks For
- A 4-year quantitative degree in computer science, math, statistics or engineering from an IIT, NIT or BITS Pilani carries heavy weight.
- Your statement of purpose must clearly connect your background to advanced machine learning, not just list generic interest.
- Published papers, strong GitHub repositories or conference work meaningfully improve your odds over an otherwise similar applicant.
My Advice
If your CGPA or test scores fall short of these benchmarks, spend a year building a strong applied project portfolio or gaining relevant work experience before you apply, rather than applying underprepared. A well-written SOP that ties your specific projects to NUS faculty research will matter as much as your raw scores.
Low percentage, study gap or no work experience?
Find out which Singapore universities you still qualify for.
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