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Data Science PhD Scholarship 2026 in Singapore

Singapore

Apply on the official site

Closes Dec 31, 2026 · 191 days left
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Application opens on the official site (gradapp.nus.edu.sg). Scholarship Union does not collect applications.

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Scholarship Summary
Country
Singapore
Study Level
PhD

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The Data Science PhD Scholarship 2026 in Singapore is a prestigious award offered by the Institute of Data Science (IDS) at the National University of Singapore (NUS). It supports outstanding PhD candidates pursuing research in data science, providing financial support including a monthly stipend and tuition fee subsidy to educate the next generation of data scientists.

The scholarship is administered by the NUS Graduate School, which coordinates and supports data science research initiatives across the university. IDS collaborates with industry partners to drive innovation across various sectors, aiming to tackle complex problems through interdisciplinary expertise.

Data Science PhD Scholarship Benefits

  • Monthly stipend: SGD 3600 for Singapore Citizens, SGD 3400 for Singapore Permanent Residents, SGD 3100 for International Students
  • 4 years of subsidised tuition fees
  • Conference allowance provided
  • CPF given on top of stipend for Singapore Citizens

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Data Science PhD Scholarship Eligibility Criteria

  • PhD Students
  • Singapore Citizens, Singapore Permanent Residents, All International Students
  • GPA minimum 3.2 / 4.0
  • GRE and TOEFL required if medium of instruction at university during undergraduate course is not English
  • Bachelor’s degree or above
  • CAP ≥ 3.8 every semester along with second upper class honours (or other equivalent qualifications)
  • Outstanding research potential and strong research interests in Data Sciences

How to Apply for Data Science PhD Scholarship

  • Apply for the scholarship within the admissions application through GradApp
  • Fulfill additional scholarship application requirements stated in GradApp
  • Nominate a minimum of 2, but not more than 4, Referees
  • Submit completed application with all required documents before the deadline
  • Checklist of documents includes Statement of Purpose, Research Proposal, Academic Transcripts and Certificates, Evidence of Academic Awards & Honours, Publications, GRE for ALL applicants & TOEFL/IELTS for applicants whose language of undergraduate instruction is not English, Complete printout of the Online Application Form, Abstract of Independent Research, Personal CV, any other supporting documents, Proof of Payment of Application Fee, Color Scan of Singapore NRIC or Passport

Frequently Asked Questions (FAQs)

Here are the most frequently asked questions about the Data Science PhD Scholarship 2026 in Singapore. These answers cover eligibility criteria, benefits, application deadlines, and the application process based on the official scholarship information.

What is the Data Science PhD Scholarship?

The Data Science PhD Scholarship is an award offered by the Institute of Data Science at NUS to support PhD students pursuing research in data science. It provides a monthly stipend and tuition fee subsidy for up to 4 years.

Who is eligible to apply for this scholarship?

Eligible applicants are PhD students, including Singapore Citizens, Singapore Permanent Residents, and all International Students. They must have a minimum GPA of 3.2/4.0, a Bachelor’s degree or above, CAP ≥ 3.8 every semester with second upper class honours, and outstanding research potential in Data Sciences.

What are the financial benefits of the scholarship?

Benefits include a monthly stipend (SGD 3600 for Singapore Citizens, SGD 3400 for Singapore PRs, SGD 3100 for International Students), 4 years of subsidised tuition fees, a conference allowance, and CPF on top of the stipend for Singapore Citizens.

What is the application deadline for the January intake?

For admission in January (Semester 2 Intake), the application window is from August 1 to December 31. Applications must be complete and received before the deadline to be processed for the upcoming intake.

How do I apply for the Data Science PhD Scholarship?

Apply through the NUS GradApp portal within the admissions application. You must fulfill additional scholarship requirements, nominate 2-4 referees, and submit all required documents, including academic transcripts, GRE/TOEFL scores, a research proposal, and a statement of purpose.

Are there any service commitments or bonds?

Non-Singaporeans/non-PRs need to fulfil 312 hours under the Graduate Assistantship Programme (GAP). Singaporeans and PRs must assist in undergraduate teaching for at least 40 hours, with at least 20 hours involving demonstrating/lecturing/tutorials.

What documents are required for the application?

Required documents include Statement of Purpose, Research Proposal, Academic Transcripts and Certificates, Evidence of Academic Awards & Honours, Publications, GRE and TOEFL/IELTS (if applicable), completed application form, Abstract of Independent Research, Personal CV, proof of application fee payment, and NRIC/Passport scan.

Can I apply if my undergraduate instruction was not in English?

Yes, but you must provide GRE and TOEFL/IELTS scores as proof of English proficiency if the medium of instruction at your undergraduate university was not English.

What is the typical award period for PhD students?

The typical award period for PhD students is 4 years, covering the monthly stipend and subsidised tuition fees for that duration.

Who administers the Data Science PhD Scholarship?

The scholarship is administered by the NUS Graduate School and offered by the Institute of Data Science (IDS), which coordinates data science research across NUS and collaborates with industry partners.


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Sheikh Mahdia Ahmed Lima is a content developer and writer with 2+ years of experience creating research-driven, student-focused educational content. She has authored 1,155+ articles for Scholarship Union, specializing in scholarships, study abroad opportunities, and academic guidance. Her background in research coordination enables deep literature reviews, rigorous fact-checking, and clear structuring of complex topics. She helps students worldwide discover verified opportunities and make informed academic decisions.

Joined Jul 21, 2025
Published
Updated Apr 9, 2026
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