Data Science Scholarship (PhD) – Eligibility, Benefits & How to Apply

🌟 About the Scholarship

Opens
Closes31 Dec, 2026

The Data Science Scholarship is a fully funded doctoral scholarship offered by the National University of Singapore (NUS) Graduate School for students pursuing a PhD in Data Science through the Integrative Sciences and Engineering Program (ISEP). The scholarship provides comprehensive financial support for up to four years of PhD study. As a result, scholars can focus entirely on research and academic development without significant financial pressure. The scholarship covers subsidized tuition fees and provides a monthly stipend throughout the candidature. Furthermore, recipients receive conference funding to present their research and engage with the global academic community. They also benefit from expert mentorship and opportunities to collaborate with industry partners and government research organizations.

🎓 Scholarship Snapshot

Here’s everything you need at a glance: the documents to prepare, what the award covers, and key dates so you don’t miss a beat. From transcripts and essays to tuition and living support, this gives you a clear picture of the Data Science Scholarship (PhD) before you apply.

Eligible Countries

Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Benin, Bhutan, Bolivia, Bosnia-Herzegovina, Botswana, Brazil, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Cape Verde, Central African Republic, Chad, Chile, China, Colombia, Comoros, Costa Rica, Côte d’Ivoire, Croatia, Cuba, Cyprus, Czech Republic, Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, East Timor, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Greenland, Grenada, Guam, Guatemala, Guinea, Guinea Bissau, Guyana, Haiti, Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kosovo, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Niue, North Korea, North Macedonia, Norway, Oman, Pakistan, Palau, Palestine, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Puerto Rico, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Scotland, Seirra Leone, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Korea, South Sudan, South-Africa, Spain, Sri Lanka, Sudan, Suriname, Swaziland, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tokelau, Trinidad-Tobago, Tunisia, Turkey, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan, Vanuatu, Vatican City, Venezuela, Vietnam, Wales, Yemen, Zambia, Zimbabwe

Study Fields

Data Science

GPA / Grade

GPA 3.2

Languages

C1 Advanced 180, IELTS 6.5, PTE A 62, TOEFL iBT 92

Tests

Study Levels

Doctoral, PhD

Total Scholarships

Transcripts

Yes

Degrees

Yes

Essay

Yes

Passport ID

Recommendation Letters

Yes (2)

Result Date

Program Start

January 2027

Tuition Fee

Covered

Living Allowance

Yes

Up to SGD 3,600/month

Travel Allowance

Research Grant

Health Insurance

Visa Assistance

📞 Contact Information

Call if you want a quick answer, send an email for detailed questions, or follow the university’s social channels to keep an eye on updates and reminders. Use whatever fits your style and timezone.

Scholarship Summary

Award AmountUp to SGD 3,600/month
Deadline31 Dec, 2026
LevelDoctoral, PhD
InstitutionNational University of Singapore
CountrySingapore
ModeOnline
TypeFully funded

Apply Now

The Data Science Scholarship is a fully funded doctoral scholarship offered by the National University of Singapore (NUS) Graduate School for students pursuing a PhD in Data Science through the Integrative Sciences and Engineering Program (ISEP). The scholarship supports outstanding local and international students with excellent academic records and strong research potential. It enables scholars to undertake full-time interdisciplinary research in data science and related fields. Moreover, the program allows students to concentrate on advanced research while receiving comprehensive financial support throughout their doctoral studies.

Background and Purpose

The scholarship aims to develop highly skilled researchers who can solve complex scientific, engineering, and industrial problems through data-driven approaches. Therefore, scholars conduct interdisciplinary research under the supervision of experienced faculty members from multiple academic disciplines. They apply advanced techniques in artificial intelligence, machine learning, statistics, data analytics, optimization, computational modelling, and engineering. In addition, the program promotes collaboration across different fields and provides access to state-of-the-art research facilities, international conferences, and a dynamic research environment that encourages innovation and scientific discovery.

Data Science Scholarship Benefits

The scholarship provides comprehensive financial support for up to four years of PhD study. As a result, scholars can focus entirely on research and academic development without significant financial pressure. The scholarship covers subsidized tuition fees and provides a monthly stipend throughout the candidature. Furthermore, recipients receive conference funding to present their research and engage with the global academic community. They also benefit from expert mentorship and opportunities to collaborate with industry partners and government research organizations.

Eligibility Criteria

Applicants must demonstrate outstanding academic achievement and strong research potential. They should also meet the admission requirements for the NUS Graduate School and the Integrative Sciences and Engineering Program. In addition, scholars must maintain the required Cumulative Average Point (CAP) each semester and complete the PhD Qualifying Examination within the prescribed timeframe. Although the scholarship has no service bond, international students must fulfil the Graduate Assistantship Program (GAP) requirements during their studies.

Data Science Scholarship Application Process

Applicants must apply for admission to the PhD in Data Science under the Integrative Sciences and Engineering Program at NUS. They should submit all required academic documents and supporting materials during the application period. Afterwards, the University evaluates candidates based on their academic excellence, research capability, and overall suitability for the program.

Opportunities for Scholars

The scholarship enables scholars to work with leading researchers on interdisciplinary projects that address real-world challenges. Moreover, they gain valuable research experience through collaborations with industry and government research organizations. Consequently, graduates develop advanced technical expertise and prepare for successful careers in academia, research institutes, technology companies, and other innovation-driven organizations worldwide.

Frequently Asked Questions (FAQs)

Who is eligible?

Applicants of all nationalities with at least a Second Upper Honors degree (or equivalent) and strong research potential in data science are eligible to apply.

How do I apply?

Applicants must apply for admission to the NUS PhD Data Science program through the NUS Graduate School application portal and submit all required supporting documents.

What research areas are supported?

Students conduct interdisciplinary research in areas such as artificial intelligence, machine learning, data analytics, statistics, computing, and other data science-related fields.