The World Bank Government Analytics Fellowship 2027 is open for applications, offering government officials professional training, expert mentoring and an opportunity to attend funded training in Washington, D.C., USA. The fellowship supports mid-level managers and senior analysts working in central government organisations who want to use administrative data to improve public services and institutional performance. Participants can access online learning, while selected in-person fellows complete an intensive programme with support from World Bank and University of Oxford experts.
For eligible applicants from Official Development Assistance (ODA)-eligible countries, the World Bank covers travel, hotel accommodation and subsistence expenses for the two-week Washington training scheduled for March 2027. The application deadline is November 16, 2026. Applicants must secure an official nomination from their government organisation and submit a relevant analytics project proposal. One important selection detail: the World Bank prioritises projects that improve government administration, rather than general policy research. A proposal based on accessible government data and supported by your organisation is therefore central to a competitive application.
World Bank Government Analytics Fellowship 2027: Quick Overview
| Fellowship details | Information |
|---|---|
| Programme | Government Analytics Fellowship 2027 |
| Organisation | World Bank |
| Academic collaboration | University of Oxford experts |
| Fellowship tracks | Online-only, immersive in-person and regional hub |
| Available places | 40 fellows in the announced cohort |
| In-person location | Washington, D.C., USA |
| Programme duration | Six months for the immersive track |
| In-person training | Approximately two weeks in March 2027 |
| Financial support | Travel, hotel and subsistence for eligible participants from ODA-eligible countries |
| Eligible applicants | Mid-level managers and senior analysts in central government organisations |
| Nomination requirement | Up to two fellows per organisation |
| Application deadline | November 16, 2026 |
| Application method | Online |
| Official website | World Bank Government Analytics Fellowship |
What is the Government Analytics Fellowship?
The Government Analytics Fellowship is a professional development programme designed to help government officials make better use of administrative records, institutional data and surveys.
Many government organisations collect substantial amounts of information through routine operations. However, this information is not always analysed systematically to identify administrative problems or improve organisational performance.
The fellowship addresses this gap by helping participants develop practical projects based on the approaches introduced in the World Bank’s Government Analytics Handbook.
Participants learn how to examine government data, identify institutional challenges and develop evidence-based solutions that can be applied in their own organisations.
The programme also connects fellows with World Bank specialists, academic researchers and government practitioners working on public administration.
Professionals interested in applying quantitative analysis to international economic policy can also explore the IMF Economist Program 2027, a three-year career programme for eligible PhD economists in Washington, D.C.
Three Fellowship Tracks Available in 2027
The World Bank has introduced three participation tracks to accommodate different professional commitments and institutional needs.
1. Online-only fellowship
This track provides a self-paced virtual learning experience.
It is intended for government officials who want to develop their analytical knowledge while continuing their regular professional responsibilities.
The flexible format makes participation more accessible to officials who cannot commit to extended in-person training.
2. Immersive in-person fellowship
The immersive track is a competitive, six-month programme for a smaller group of government officials with institutionally relevant analytics projects.
Selected participants receive intensive project development support, including:
- Access to the virtual Government Analytics course.
- Dedicated mentoring from a World Bank expert.
- Support in developing and completing a government analytics project.
- Approximately two weeks of in-person training in Washington, D.C.
- Opportunities to collaborate with World Bank staff, academics and other government practitioners.
Applicants must complete the virtual course and submit their analytics project before attending the Washington training.
The in-person component is planned for March 2027, with exact dates to be confirmed.
3. Regional hub fellowship
The regional hub track is designed to support more locally accessible learning opportunities through regional centres.
The World Bank has identified this as part of its fellowship model, although the supplied 2027 announcement does not specify individual regional locations or training dates.
Graduates interested in data science and evidence-based public policy may also consider the JRC Scientific Traineeship 2027, which offers paid research placements with the European Commission’s Joint Research Centre.
Who Can Apply for the World Bank Government Analytics Fellowship 2027?
Applicants must meet the following official requirements:
- Government employment: Work in a central government organisation, including eligible government agencies.
- Professional position: Hold a mid-level management, senior analyst or equivalent position.
- Organisational nomination: Be officially nominated by their employer. Each organisation may nominate up to two fellows.
- Quantitative background: Have completed tertiary-level coursework in statistics or related quantitative methods.
- English proficiency: Be proficient in English.
- Project responsibility: Have the authority and institutional support needed to develop a relevant government analytics project.
- Project proposal: Present a practical analytics project with clear institutional relevance and implementation potential.
Applicants seeking the in-person fellowship must also be available to travel to Washington, D.C., for approximately two weeks in March 2027.
PhD graduates from eligible developing countries who want to pursue academic research rather than government administration can explore the TWAS-FAPESP Postdoctoral Fellowship 2027 in Brazil, which supports research at eligible institutions in São Paulo State.
Can applicants from developing countries apply?
Yes. The eligibility criteria do not restrict participation to a specific list of nationalities.
Government officials from developing countries can apply if they meet the employment, nomination, educational and project requirements.
Applicants from ODA-eligible countries may also qualify for World Bank-funded travel, hotel accommodation and subsistence during the in-person training.
Can master’s or PhD students apply?
Students are not eligible solely because they are enrolled in a master’s or PhD programme.
The fellowship requires eligible central government employment and a suitable professional role. Academic qualifications alone do not meet these conditions.
Similarly, university faculty members, private-sector professionals and NGO employees do not qualify on the basis of those positions alone.
Economics PhD students who do not meet the government employment requirement can instead review the IMF Internship 2027, a paid programme for eligible doctoral students interested in economic research and policy analysis.
Required Documents for the 2027 Application
Applicants must prepare three documents.
1. Curriculum Vitae (maximum three pages)
Your CV should highlight relevant professional experience, current responsibilities, quantitative skills and previous university-level coursework in statistics or related methods.
2. Government Analytics project summary (150 words)
Prepare a concise description of the project you intend to undertake within your government organisation.
The summary should explain the administrative problem, the data you expect to use and how the proposed analysis could improve institutional performance.
3. Organisational endorsement letter
The letter must confirm your nomination, professional position and institutional support for your proposed project and fellowship participation.
It should demonstrate that your organisation considers the project relevant and supports your involvement.
All three documents must be written in English and submitted in PDF format.
Careers Help Desk Counter Angle: Your Project Matters More Than a General Interest in Data Science
One of the most useful details in the World Bank’s selection guidance is the distinction between government administration and government policy.
The fellowship is specifically interested in using government administrative records and survey data to understand and improve how public institutions operate.
For example, consider these two hypothetical proposals:
| Less closely aligned proposal | More closely aligned proposal |
|---|---|
| Assessing whether a national health policy improves public health outcomes | Analysing hospital administrative records to identify staffing or service-delivery bottlenecks |
| Evaluating whether tax rates should increase | Using tax administration records to identify processing delays or improve compliance operations |
| Studying national education policy outcomes | Analysing teacher deployment and administrative records to improve school staffing management |
These examples illustrate the programme’s stated focus rather than guaranteeing selection.
The World Bank also looks for evidence that the necessary data already exists or can realistically be collected during the fellowship.
This has two practical implications.
First, applicants should avoid proposing a broad research topic that cannot be completed within the programme’s timeframe. A focused project using accessible administrative records is more closely aligned with the fellowship’s purpose.
Second, the organisational endorsement letter should do more than confirm employment. It should demonstrate management support for the proposed work and explain why the project matters to the institution.
A well-defined project with credible data access and institutional backing directly addresses the priorities described in the World Bank’s selection guidance.
Applicants can review the Government Analytics Handbook before developing their proposal.
Researchers developing large-scale computing projects can separately explore the NSF Expeditions in Computing research grant, which supports eligible US-led research teams with awards of up to $15 million over seven years.
How to Apply for the World Bank Government Analytics Fellowship 2027
Applications are submitted through the World Bank’s official online form.
Follow these steps:
Step 1: Confirm your eligibility. Check that your employment, position, quantitative education and English proficiency meet the programme requirements.
Review the Government Analytics Fellowship Application 2027 Details and Guidelines
Step 2: Discuss the fellowship with your organisation. Obtain management approval and confirm your organisation can nominate you.
Step 3: Develop your project proposal. Identify a practical administrative challenge and determine which data could support your analysis.
Step 4: Prepare your documents. Finalise your three-page CV, 150-word project summary and organisational endorsement letter. Convert all documents to PDF. Check that the files are complete and written in English.
Step 4: Complete the online application. Upload the required documents through the official application portal.
Apply for the Government Analytics Fellowship 2027
Submit before November 16, 2026. The World Bank states that applications must be submitted by the closing date and that exceptions will not be made.
Common Application Mistakes to Avoid
The following issues deserve attention before submission:
- Applying without an organisational nomination. Individual interest is insufficient without the required institutional endorsement.
- Submitting a policy research proposal instead of an administrative analytics project. The World Bank explicitly prioritises improvements to public administration.
- Overlooking data availability. A proposal should identify existing or realistically obtainable data.
- Submitting a generic endorsement letter. The letter should demonstrate genuine support for the project.
- Exceeding document limits. The CV must not exceed three pages, and the project summary must be 150 words.
- Assuming Washington training is automatic. The immersive track has a competitive selection process and additional completion requirements.
Funding and Benefits: What Does the World Bank Cover?
The fellowship primarily provides professional training, mentoring and project development support.
For the Washington, D.C., component, the World Bank confirms the following financial support for participants from ODA-eligible countries:
| Benefit | Coverage |
|---|---|
| International travel | Covered for eligible in-person fellows |
| Hotel accommodation | Covered during the Washington training |
| Subsistence | Covered for eligible participants |
| Professional training | Government analytics learning and practical project support |
| Expert mentoring | Dedicated World Bank mentoring for in-person fellows |
| Networking | Engagement with international public administration and data experts |
Important: The fellowship announcement does not specify a monthly stipend or salary. Its confirmed financial benefits relate to participation expenses for eligible in-person fellows.
Applicants should also understand that travel funding is linked to ODA eligibility. They should not assume that every selected participant will receive the same financial package.
Ready to Apply for World Bank Fellowships
The World Bank Government Analytics Fellowship 2027 offers government officials an opportunity to develop practical data analysis skills while working on institutional challenges within their own organisations. Applicants interested in the immersive track should pay particular attention to project feasibility, organisational endorsement and their ability to complete the virtual training before travelling to Washington, D.C. The deadline is November 16, 2026.
Official Source: World Bank Government Analytics Fellowship 2027 Call for Applications
For programme-specific questions, contact governmentanalytics@worldbank.org.
Frequently Asked Questions (FAQs)
What is the deadline for the World Bank Government Analytics Fellowship 2027?
The application deadline is November 16, 2026. Candidates must submit their online application and required documents by that date.
Is the Government Analytics Fellowship 2027 fully funded?
For in-person fellows from ODA-eligible countries, the World Bank covers travel, hotel accommodation and subsistence associated with the Washington, D.C., training. The announcement does not specify a monthly stipend or universal funding for all participants.
How many fellows will be selected in 2027?
The World Bank’s 2027 fellowship information brochure states that 40 fellows will be selected for the new cohort. The immersive in-person track is competitive and intended for a smaller group of participants.
Do applicants need IELTS or TOEFL?
The official eligibility criteria require English proficiency but do not specify an IELTS or TOEFL score or certificate.
Can government employees apply without a PhD?
Yes. A PhD is not listed as an eligibility requirement. Applicants must demonstrate prior tertiary-level coursework in statistics or related quantitative methods and meet the programme’s professional requirements.
Is the fellowship open to international applicants?
Yes. Eligible government officials from different countries can apply. Selection depends on professional eligibility, organisational nomination, quantitative background and the relevance of the proposed government analytics project.
Can NGO or private-sector employees apply for the Government Analytics Fellowship?
No. The fellowship requires applicants to work in a central government organisation, including eligible government agencies. Employment with a private company or non-profit organisation does not meet this requirement on its own.
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