{"id":5152,"date":"2026-07-08T22:26:22","date_gmt":"2026-07-08T17:26:22","guid":{"rendered":"https:\/\/propakistani.pk\/edunation\/?p=5152"},"modified":"2026-07-08T22:26:23","modified_gmt":"2026-07-08T17:26:23","slug":"how-to-study-in-singapore-with-the-data-science-scholarship-phd-2027","status":"publish","type":"post","link":"https:\/\/propakistani.pk\/edunation\/guides\/how-to-study-in-singapore-with-the-data-science-scholarship-phd-2027\/","title":{"rendered":"How to Study in Singapore With the\u00a0Data Science Scholarship (PhD) 2027"},"content":{"rendered":"\n

The NUS Data Science Scholarship<\/a> 2027<\/strong> is a fully funded PhD scholarship<\/strong> offered by the National University of Singapore<\/a> (NUS) Graduate School<\/strong> under the Integrative Sciences and Engineering Programme (ISEP)<\/strong>. The scholarship supports outstanding students pursuing a PhD in Data Science<\/strong> and provides full subsidised tuition fees for up to four years<\/strong>, a monthly stipend of up to SGD 4,800<\/strong>, conference funding, and opportunities to conduct interdisciplinary research in artificial intelligence, machine learning, statistics, and data science.<\/p>\n\n\n\n

About the Data Science Scholarship<\/h2>\n\n\n\n

The NUS Data Science Scholarship<\/strong> is designed to develop future researchers in Data Science<\/strong> by supporting exceptional doctoral candidates undertaking interdisciplinary research at the National University of Singapore. The programme is administered through the Integrative Sciences and Engineering Programme (ISEP)<\/strong> and allows students to work with faculty members from multiple disciplines while addressing real-world challenges using data-driven approaches.<\/p>\n\n\n\n

The PhD programme covers a broad range of research areas, including artificial intelligence, machine learning, statistical learning, data analytics, optimisation, computer vision, natural language processing, computational biology, healthcare analytics, financial analytics, smart cities, and scientific computing<\/strong>. Students benefit from NUS’s world-class research facilities and collaborations with industry, government agencies, and international research institutions.<\/p>\n\n\n\n

Why Choose The Data Science Scholarship?<\/h2>\n\n\n\n

This scholarship provides comprehensive financial support while allowing students to pursue cutting-edge doctoral research in one of the world’s leading research universities.<\/p>\n\n\n\n

You benefit from:<\/p>\n\n\n\n

    \n
  • Full subsidised tuition fees<\/li>\n\n\n\n
  • Monthly stipend of up to SGD 4,800<\/strong><\/li>\n\n\n\n
  • Conference allowance<\/li>\n\n\n\n
  • Interdisciplinary supervision<\/li>\n\n\n\n
  • Access to advanced research laboratories<\/li>\n\n\n\n
  • Collaboration with industry and international partners<\/li>\n\n\n\n
  • Opportunities to publish high-impact research<\/li>\n\n\n\n
  • Excellent preparation for careers in academia and industry<\/li>\n<\/ul>\n\n\n\n

    Graduates pursue careers in:<\/p>\n\n\n\n

      \n
    • Artificial Intelligence<\/li>\n\n\n\n
    • Machine Learning<\/li>\n\n\n\n
    • Data Science<\/li>\n\n\n\n
    • Statistics<\/li>\n\n\n\n
    • Computer Science<\/li>\n\n\n\n
    • Bioinformatics<\/li>\n\n\n\n
    • Financial Analytics<\/li>\n\n\n\n
    • Healthcare Analytics<\/li>\n\n\n\n
    • Research and Development<\/li>\n\n\n\n
    • Academia<\/li>\n<\/ul>\n\n\n\n

      Data Science Scholarship Summary<\/h2>\n\n\n\n
        \n
      • Host Country:<\/strong> Singapore<\/li>\n\n\n\n
      • Host University:<\/strong> National University of Singapore (NUS)<\/li>\n\n\n\n
      • Scholarship Name:<\/strong> Data Science Scholarship<\/li>\n\n\n\n
      • Administering Programme:<\/strong> Integrative Sciences and Engineering Programme (ISEP)<\/li>\n\n\n\n
      • Study Level:<\/strong> PhD<\/li>\n\n\n\n
      • Scholarship Type:<\/strong> Fully Funded<\/li>\n\n\n\n
      • Study Mode:<\/strong> Full-Time<\/li>\n\n\n\n
      • Scholarship Duration:<\/strong> Up to 4 years<\/strong><\/li>\n\n\n\n
      • Monthly Stipend:<\/strong>\n
          \n
        • SGD 4,800<\/strong> (Singapore Citizens)<\/li>\n\n\n\n
        • SGD 4,300<\/strong> (Singapore Permanent Residents)<\/li>\n\n\n\n
        • SGD 3,800<\/strong> (International Students)<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • Tuition Fees:<\/strong> Four years of subsidised tuition fees<\/li>\n\n\n\n
        • Conference Allowance:<\/strong> Provided<\/li>\n\n\n\n
        • Eligible Applicants:<\/strong> All nationalities<\/li>\n\n\n\n
        • Application Mode:<\/strong> Online<\/li>\n\n\n\n
        • Application Deadline:<\/strong> December 31, 2026<\/li>\n\n\n\n
        • Selection Basis:<\/strong> Academic excellence, research potential, and interview performance<\/li>\n<\/ul>\n\n\n\n

          Scholarship Benefits<\/h2>\n\n\n\n

          Successful scholars receive:<\/p>\n\n\n\n

            \n
          • Four years of subsidised tuition fees<\/li>\n\n\n\n
          • Monthly stipend according to citizenship status:\n
              \n
            • SGD 4,800<\/strong> for Singapore Citizens<\/li>\n\n\n\n
            • SGD 4,300<\/strong> for Singapore Permanent Residents<\/li>\n\n\n\n
            • SGD 3,800<\/strong> for International Students<\/li>\n<\/ul>\n<\/li>\n\n\n\n
            • Conference allowance<\/li>\n\n\n\n
            • Access to world-class research facilities<\/li>\n\n\n\n
            • Interdisciplinary research training<\/li>\n\n\n\n
            • Opportunities for collaboration with industry and international researchers<\/li>\n<\/ul>\n\n\n\n

              Eligibility Criteria<\/h2>\n\n\n\n

              Applicants must:<\/p>\n\n\n\n

                \n
              • Apply for admission to the NUS PhD (Data Science)<\/strong> program.<\/li>\n\n\n\n
              • Possess an excellent academic record.<\/li>\n\n\n\n
              • Demonstrate strong aptitude and research potential in data science or a related discipline.<\/li>\n\n\n\n
              • Meet the admission requirements of the NUS Graduate School.<\/li>\n\n\n\n
              • Meet the University’s English language requirements where applicable.<\/li>\n<\/ul>\n\n\n\n

                The scholarship is open to applicants of all nationalities<\/strong>.<\/p>\n\n\n\n

                Required Documents<\/h2>\n\n\n\n

                Applicants generally need to submit:<\/p>\n\n\n\n

                  \n
                • Online PhD application<\/li>\n\n\n\n
                • Academic transcripts<\/li>\n\n\n\n
                • Degree certificates<\/li>\n\n\n\n
                • Curriculum Vitae (CV)<\/li>\n\n\n\n
                • Statement of purpose or research interests<\/li>\n\n\n\n
                • Referee reports<\/li>\n\n\n\n
                • English language proficiency results (if required)<\/li>\n\n\n\n
                • Any additional documents requested by the NUS Graduate School<\/li>\n<\/ul>\n\n\n\n

                  Application Process & Timeline<\/h2>\n\n\n\n
                    \n
                  1. Apply online for the NUS PhD (Data Science)<\/strong> programme.<\/li>\n\n\n\n
                  2. Upload all required supporting documents.<\/li>\n\n\n\n
                  3. Arrange for referees to submit recommendation reports.<\/li>\n\n\n\n
                  4. Attend interviews if shortlisted.<\/li>\n\n\n\n
                  5. Successful applicants receive both the PhD admission and scholarship offer.<\/li>\n<\/ol>\n\n\n\n

                    Scholarship consideration is integrated into the PhD admission process.<\/p>\n","protected":false},"excerpt":{"rendered":"

                    The NUS Data Science Scholarship 2027 is a fully funded PhD scholarship offered by the National University of Singapore (NUS) Graduate School under the Integrative Sciences and Engineering Programme (ISEP). The scholarship supports outstanding students pursuing a PhD in Data Science and provides full subsidised tuition fees for up to four years, a monthly stipend […]<\/p>\n","protected":false},"author":5,"featured_media":5142,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[57],"tags":[],"class_list":["post-5152","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-guides"],"_links":{"self":[{"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/posts\/5152","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/comments?post=5152"}],"version-history":[{"count":2,"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/posts\/5152\/revisions"}],"predecessor-version":[{"id":5154,"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/posts\/5152\/revisions\/5154"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/media\/5142"}],"wp:attachment":[{"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/media?parent=5152"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/categories?post=5152"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/propakistani.pk\/edunation\/wp-json\/wp\/v2\/tags?post=5152"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}