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NUS PhD (Data Science)

Kent ridge campus, singapore, singapore, # 6 qs subject rankings, 48 months program duration, 41,563 sgd tuition fee/year, yes scholarships, program overview, main subject.

Data Science and Artificial Intelligence

Study Level

Admission requirements, exam scores, important dates, tuition fee and scholarships, tuition fee, scholarships, domestic students, international students.

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National University of Singapore (NUS) offers a distinctively Asian and global experience that is grounded in maximising the potential of students and their future-readiness, and broad-based research excellence that enables beneficial translation. NUS is also highly regarded for the hallmark rigour and breadth of its academic programmes, innovative entrepreneurship education, and experiential learning. Learning across faculties and disciplines is highly valued and practised, with other cross-disciplinary initiatives available for a well-rounded knowledge base and transferable skills. Undergraduates will learn countless lessons during their NUS journey. Steeped in an inquisitive culture, students will be nurtured and inspired by pre-eminent thought leaders to think critically and creatively while working synergistically with their peers. NUS' numerous overseas programmes underscore the global nature of education offered by the University. These expeditions of varying lengths expose participants to a wide range of economic realities and challenges and enable them to experience firsthand how other cultures live, work and play. Accentuating NUS' transformative global education are programmes that facilitate the pursuit of more than a single degree at a time. Students may choose to do a Concurrent, Double or Joint Degree offered either solely by the University or in collaboration with several of its distinguished partner universities from around the world. For more information on the full list of NUS undergraduate programmes, please refer here .

Arts and Humanities (6)

Ba (hons) in chinese language, ba (hons) in chinese studies, ba (hons) in english language and linguistics, ba (hons) in english literature, ba (hons) in global studies, ba (hons) in history, ba (hons) in japanese studies, ba (hons) in malay studies, ba (hons) in philosophy, ba (hons) in philosophy, politics, and economics, ba (hons) in south asian studies, ba (hons) in southeast asian studies, ba (hons) in theatre and performance studies, ba in architecture, bsocsci (hons) in geography, bachelor of landscape architecture (bla), bachelor of music (honours), business and management (6), ba (hons) in industrial design, bsc (hons) in business analytics, bsc (hons) in data science and analytics, bsc (hons) in data science and economics, bsc (hons) in quantitative finance, btech (business analytics), nus bba (accountancy), engineering and technology (6), bcomp (hons) in computer science, bcomp (hons) in information security, bcomp (hons) in information systems, beng (biomedical engineering), beng (chemical engineering), beng (civil engineering), beng (computer engineering) - college of design and engineering (cde), beng (computer engineering) – nus computing, beng (electrical engineering), beng (engineering science), beng (environmental engineering), beng (industrial & systems engineering), beng (infrastructure & project management), beng (materials science & engineering), beng (mechanical engineering), btech (chemical engineering), btech (civil engineering), btech (cybersecurity), btech (electronics engineering), btech (industrial & management engineering), btech (mechanical engineering), btech (software engineering), life sciences and medicine (6), bsc (hons) in life sciences, bsc (hons) in pharmaceutical science, bsc in nursing, bsocsci (hons) in anthropology, bsocsci (hons) in psychology, bachelor of dental surgery (bds), bachelor of medicine and bachelor of surgery (mbbs), bachelor of pharmacy (honours), natural sciences (6), bsc (hons) in chemistry, bsc (hons) in food science and technology, bsc (hons) in mathematics, bsc (hons) in physics, bachelor of environmental studies (honours), social sciences and management (6), bsc (hons) in statistics, bsc in real estate, bsocsci (hons) in communications and new media, bsocsci (hons) in economics, bsocsci (hons) in political science, bsocsci (hons) in social work, bsocsci (hons) in sociology, btech (supply chain management), bachelor of laws (honours) (llb).

National University of Singapore’s (NUS) graduate programmes are designed to nurture a passion for inquiry and to provide students with the tools to tackle intellectual challenges with confidence and creativity. NUS offers a wide range of graduate programmes catering for a variety of interests, namely:

• Doctoral degree programmes which are primarily research-based and are typically the first choice for students who seek depth of knowledge, enjoy creative problem solving, and who aspire to hold high level positions in their respective fields.
•  Master's degree programmes which are primarily designed to prepare students for the practice of a profession (typically Master's by coursework), or to master a subject area as a precursor to doctoral training (typically Master's by research).
• Graduate Diploma provides focused professional training in a specific niche. Graduate Diploma is often favoured by students who seek additional exposure to an area of interest without committing themselves to longer-term further studies.

These programmes offer excellent opportunities for students to further develop their potential as intellectual leaders for a wide range of career paths. NUS is home to students and faculty members from many countries. Its faculty members have an international reputation for research excellence in many fields. They have built collaborations in research across national borders and disciplines. Some of these collaborations provide opportunities for students to work towards a Ph.D. degree conferred jointly by NUS and an overseas partner university. For more information on the full list of NUS graduate programmes, please refer here .

MA in Applied and Public History

Ma in architectural conservation, ma in arts and cultural entrepreneurship, ma in english language and linguistics, ma in literary studies, ma in southeast asian studies, ma in urban design, msc in applied geographic information systems, msc in integrated sustainable design, master of architecture, master of landscape architecture, master of music, master of music leadership, master of urban planning, masters by research (architecture), masters by research (built environment), masters by research (chinese studies), masters by research (english language and linguistics), masters by research (english literature), masters by research (geography), masters by research (history), masters by research (industrial design), masters by research (japanese studies), masters by research (malay studies), masters by research (philosophy), masters by research (south asian studies), masters by research (southeast asian studies), masters by research (theatre and performance studies), nus-london school of economics master of arts (history) and master of arts (asian and international history) double degree programme, msc in accounting, msc in business analytics, msc in data science and machine learning, msc in digital financial technology, msc in environmental management, msc in finance, msc in human capital management and analytics, msc in industry 4.0, msc in management, msc in management + cems mim, msc in marketing analytics and insights, msc in marketing analytics and insights + cems mim, msc in project management, msc in quantitative finance , msc in sustainable and green finance, msc in venture creation, mtech in enterprise business analytics (iss) (full-time), mtech in enterprise business analytics (iss) (part-time), msc in biomedical engineering, msc in building performance and sustainability, msc in chemical engineering, msc in civil engineering, msc in computer engineering, msc in electrical engineering, msc in energy systems, msc in environmental engineering, msc in financial engineering, msc in financial engineering (distance learning), msc in industrial & systems engineering, msc in management of technology and innovation, msc in maritime technology and management, msc in materials science and engineering, msc in mechanical engineering, msc in safety, health and environmental technology, mtech in digital leadership (iss), mtech in intelligent systems (iss) (full-time), mtech in intelligent systems (iss) (part-time), mtech in software engineering (iss) (full-time), mtech in software engineering (iss) (part-time), master of computing - 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nus executive mba, full-time mba (2), the nus mba, phd (architecture), phd (built environment), phd (chinese studies), phd (comparative asian studies), phd (english language and linguistics), phd (english literature), phd (geography), phd (history), phd (industrial design), phd (japanese studies), phd (malay studies), phd (philosophy), phd (south asian studies), phd (southeast asian studies), phd (theatre and performance studies), phd (digital financial technology), phd in management, doctor of engineering, phd (computer science), phd (engineering), phd (information systems and analytics), phd (integrative sciences and engineering), phd (scelse), phd (ihealthtech), clinical and translational sciences phd, doctor of pharmacy, doctor of philosophy dentistry, integrated biology and medicine phd, joint phd (nus-hebrew university of jerusalem (huj)), joint phd (nus-king's college london (kcl)), phd (biological sciences), phd (clinical and translational sciences), phd (integrated biology and medicine), phd (nursing), phd (pharmacy), phd (psychology), phd (quantitative biology and medicine), phd (yong loo lin school of medicine), quantitative biology and medicine phd, centre for quantum technologies phd programme, phd (chemistry), phd (food science & technology), phd (mathematics), phd (physics), joint phd with kcl, phd (communications and new media), phd (cultural studies in asia), phd (economics), phd (nus-dso), phd (political science), phd (public policy), phd (saw swee hock school of public health), phd (social work), phd (sociology), phd (statistics), phd operations research and analytics.

• Curriculum Vitae (07-2024)  
• Google Scholar
• Ph.D., Computer Science, University of Maryland at College Park , USA, 2006
• Professor, Department of Mathematics , NUS
• Director, Centre for Data Science and Machine Learning , NUS
• Director, Graduate program on Data Science and Machine Learning , NUS
• Faculty affiliate, Institute of Data Science , NUS
• Imaging Sciences
• Computational Vision
• Machine Learning
• Email: matjh at nus dot edu dot sg
• Office: S17, #08-04, 10 Lower Kent Ridge Road, 119076

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NUS Ph.D. Scholarships in Data Science in Singapore for 2025

• Singapore, Singapore
• Apply Before : August 15, 2024

Opportunity Details

• Opportunity ID 218518
• Degree PH.D
• Language Requirement TOEFL IELTS Other
• Fields of study Computer Scienc (Data Science)
• Opportunity Type : Fully Funded
• Duration 4 Years
• Gender Male Female
• Language of Instruction English
• Application Fee Required Yes

Opportunity Description

Applications are open for the NUS Ph.D. Scholarships in Data Science in Singapore for 2025!

The National University of Singapore (NUS) Ph.D. program in Data Science is a joint study and scholarship program by the NUS Institute of Data Science (IDS) and NUS Graduate School’s Integrative Sciences and Engineering Programme (ISEP). The program prepares students with a typical set of interdisciplinary skills for Data Science careers in academia or industry.

The Institute of Data Science (IDS) adds and builds on significant strengths in data science and analytics at the National University of Singapore. IDS supports and coordinates data science research initiatives across the University and provides solutions by combining the skills and knowledge from multiple disciplines to tackle a problem well-roundedly from all angles.

IDS works with industry partners to contribute to solutions and innovation across diverse sectors, such as government, community services, industry, and education.

With this Ph.D. program in Data Science, IDS primarily aims to educate the next generation of “brain-heavy” data scientists.

Important Details

• Application Deadline for January 2025 Intake: 15 August 2024
• Awarding Institution:   National University of Singapore (NUS)
• Host Institutes: ISEP and Institute of Data Science (IDS)
• Scholarship Location: Singapore
• Scholarship Duration: Four Years
• Eligible Countries: All
• Study Level: PhD
• Gender : Male/Female
• Target Group: Bachelor degree holders with a strong academic record
• Funding Type:  Fully Funded
• Fields: Data Science
• Program Language: English
• Host Country: Singapore

Benefits of the NUS Ph.D. Scholarships in Data Science

Awardees of the NUS Ph.D. Scholarships in Data Science will benefit from the program for four years as follows:

• Singaporeans: S$4,500 + CPF
• Permanent Residents: S$4,100
• Non-Singaporeans: S$3,600
• Tuition Fee Waiver: Full subsidy for four years
• Research Incentive Award: Monthly allowance over four years and a one-time research allowance after passing the Qualifying Exam
• Conference Travel Support: Provided under the ISEP Scholarship scheme

You may be interested in the following opportunities, too:

166 Vanier Canada Graduate Scholarships in Canada

National Tsing Hua University Scholarships Spring 2025 in Taiwan

Academy Scholars Program 2025 at the Harvard Academy in the United States

Eligibilities and Criteria

All applicants should meet the following criteria:

• The scholarship and admission applications are open to all nationalities
• Applicants should hold a bachelor’s degree or above, with at least 2nd Upper Honours or equivalent qualifications
• Demonstrate outstanding research potential and strong research interests in Data Sciences
• Applicants to the Ph.D. program in Data Science should meet the ISEP Scholarship’s eligibility and admission criteria
• Submit GRE scores (Verbal + Quantitative ≥320, Analytical Writing ≥3.5)
• Demonstrate English proficiency: TOEFL (IBT ≥ 90) or IELTS (≥ 6)
• The scholarship depends on the academic merit: CAP1 ≥ 3.8 every semester
• The application is open to the full-time only PhD program
• Coursework: 30 modular credits, comprising:
• modules from ISEP, Business School, School of Computing, Faculty of Engineering, and Faculty of Science
• Service, comprising:
• IDS Teaching
• PhD Thesis:
• Work on a topic that advances data science research under the advice of IDS directors and faculty affiliates (refer to “ Supervisors “).

Required Documents

All applicants should compile the following documents in the following sequence in a single PDF file with a maximum of 15 MB file size. Please upload the documents here . Remember to name your PDF dossier in this format:

[Specialisation, only if applicable] [ApplicationNumber] [Full Name as per official ID document, e.g., passport, NRIC, etcetera]

• Statement of Purpose no more than one page, covering the following topics:
• Why do you want to do a PhD?
• Why Singapore? (For overseas applicants only)
• Research Proposal about an interdisciplinary research project that you are very passionate about.
• Academic Transcripts and Certificates
• Evidence of Academic Awards and Honours
• Publications
• GRE for ALL applicants and TOEFL/IELTS for candidates whose undergraduate degree language of instruction is not English
• Please complete the printout of the  Online Application Form that the NUS Graduate Admissions System (GDA2) will generate, fill it out , sign, date, and include a recent passport-sized photograph.
• Abstract of Independent Research
• Updated CV, which is only compulsory for Ph.D.MBA application
• PhD-MBA Essay, which is only mandatory for Ph.D.MBA application
• Any other supporting documents ​
• Proof of Payment of Application Fee from GDA2
• Color scan of Singapore NRIC for Singaporean and Singapore PR and Passport for International Applicants

How to Apply for NUS Ph.D. Scholarships in Data Science?

The application procedure is entirely online; applicants can submit their applications through the link below.

NUS Graduate Admissions System (GDA2)

Isep application form.

Important Notes:

• Applicants are not necessarily required to complete the “ISEP Application Form.”
• For the Graduate Admission System application section, please select the program as follows:
• Faculty: NUS Graduate School
• Program: Doctor of Philosophy (ISEP)
• Specialization / Area of Study: Data Science-TRK
• Applicants should submit the application dossier/documents as instructed here. Please do NOT upload the dossier in the portal for application to this program.
• Priority goes to applications with COMPLETE information and dossier/documents in GDA2 and ISEP Application Form; the organizers will process such applications.
• The admission and scholarship teams will only process completed applications with all required documents received BEFORE the application deadline.
• Applications received LATER than the application deadline may be eligible for the next available intake.
• Each applicant should nominate at least two (2) referees but not more than four (4).
• The “NUS Graduate Admissions System (GDA2)” will generate emails to the applicants’ nominated referees to request that they complete an online Referee Report template within 14 days.

Please visit the official website of NUS Graduate School’s Integrative Sciences and Engineering Programme (ISEP) for detailed information about the NUS Ph.D. Scholarships in Data Science 2025.

Also, check the following opportunities:

Boustany Foundation Harvard University MBA Scholarship 2025

Kotzen Scholarship at Simmons University in the USA

WCO Master Scholarship in Japan

Other opportunities you may like

Chatham House Research Fellow 2024- Cyber Policy and Security

• United Kingdom, United Kingdom

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Data Science Internship PhD Only (USA)

Description

About Pinterest :

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

We’re looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners.

The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. We offer a 12-week summer internship program in our San Francisco or Seattle office.

What you’ll do:

• Influence and evolve our product roadmap to help us fulfill our mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation.
• Design and implement core metrics that serve as the north stars for team efforts and help design and evaluate A/B experiments that drive these metrics.
• Explore alternative experimentation techniques to help internal teams evaluate their ideas faster.
• Help gather explicit signals about Pinner, Merchant, Creator, or Advertiser preferences and tastes using survey methodologies and statistical/modeling based approaches.
• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.

What we’re looking for:

• Currently pursuing a PhD in statistics, mathematics, economics, applied sciences, computer science or related field.
• Experience using SQL and Python or R.
• Excellent communication skills and the ability to tell a complete narrative using data.
• Ability to connect data analysis to real business problems, in order to impact business performance.
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here .

US based applicants only

The salary for this position is 11,000 monthly.

Our Commitment to Diversity:

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