MS in Data Science in Singapore (2026)

Top universities for MS Data Science in Singapore

• National University of Singapore (NUS) — QS #8 · IELTS 6.5 · 16% acceptance · SGD 40–55k/yr · details
• Nanyang Technological University (NTU) — QS #15 · IELTS 6.5 · 20% acceptance · SGD 40–55k/yr · details
• Singapore University of Technology & Design — QS #440 · IELTS 6.5 · 30% acceptance · SGD 38–50k/yr · details
• Singapore Management University (SMU) — QS #545 · IELTS 6.5 · 25% acceptance · SGD 45–60k/yr · details

Each is a strong choice for MS Data Science with international support and good graduate outcomes. Use the free predictor for your personalised list.

Cost, requirements & intakes

• Tuition: SGD 40,000–60,000/yr for international students.
• Living cost: SGD 12,000–18,000/yr.
• Entry: IELTS 6.5 (or TOEFL/PTE), SOP, 2–3 LORs, transcripts; GRE/GMAT for some programs.
• Intakes: August, January.
• Post-study work: 1-year Long-Term Visit Pass to find work · PR: PR: ~2–5 yrs.

Comparing the shortlist for MS Data Science in Singapore

4 of the 4 Singapore universities in our dataset run a programme matching MS Data Science. The 4 below are the highest-ranked of those.

Acceptance across this shortlist runs from 16% to 30%. That range matters more than any single number: a list of six universities with one at 16% and another at 30% is not six equivalent applications, and treating it as one is how students end up with an all-reach list and no offer.

Every university on this shortlist asks for about IELTS 6.5, so one preparation target covers the whole list.

Ranks here span 8 to 545. Rank is the weakest of the three columns for choosing a MS Data Science programme — it is dominated by research output and reputation surveys across the whole institution, neither of which tells you who teaches your modules or whether the department has industry links where you want to work. Use it to sanity-check, not to sort.

The practical sequence for Singapore: confirm the intake you are targeting (August, January), because entry requirements and funding both key off it; budget tuition of SGD 40,000–60,000/yr against living costs of SGD 12,000–18,000/yr rather than tuition alone, which is the most common underestimate; and check post-study work terms — 1-year Long-Term Visit Pass to find work — before you commit, since that is what converts the degree into the outcome most students are actually buying.

What the table above does not tell you

Four things decide a MS Data Science application in Singapore that no ranking column captures, and they are usually what separates an offer from a rejection at the same institution.

• Acceptance rate is institutional, not departmental. A university reporting 30% overall can run a MS Data Science programme far below that, because competitive departments carry the selective end of the distribution. Always look for the programme's own intake numbers; where they are not published, class size and the number of entry routes are decent proxies.
• The English score is a floor, not a target. IELTS 6.5 clears the gate; it does not compete. Where a programme is oversubscribed, admissions staff read the band breakdown, and a strong overall score hiding a weak Writing band is a common quiet rejection. Check whether the university sets per-section minimums as well as an overall figure — many do, and applicants routinely miss it.
• Funding decisions run on a different calendar to admissions. In Singapore the intakes are August, January, but most scholarship deadlines sit weeks to months ahead of the application deadline. Applying "on time" for admission and late for money is one of the most expensive ordinary mistakes in the process, and it is entirely avoidable.
• Post-study work rules are what you are really buying. 1-year Long-Term Visit Pass to find work The onward route matters too — PR: ~2–5 yrs. These terms are set by government policy rather than by the university, so they can change between the year you apply and the year you graduate. Verify them on the official immigration site at the point of applying rather than trusting any third-party summary, this page included.

If you are choosing between Singapore and somewhere else for MS Data Science, compare on total cost to a work permit rather than on tuition or rank. Tuition of SGD 40,000–60,000/yr plus living costs of SGD 12,000–18,000/yr over the length of the programme, set against what the post-study work window realistically lets you earn back, is the comparison that actually changes decisions — and it frequently reverses the ordering you get from ranking tables alone.