World Bank — Development Economics Vice-Presidency, in collaboration with the Institutions Global Department and Development Impact Group
World Bank Government Analytics Fellowship 2027 — Fully Funded In-Person Track and Online Opportunities
The World Bank Government Analytics Fellowship 2027 offers government officials and public-sector data practitioners an opportunity to develop practical skills in using data to improve public administration. The programme has three tracks: online-only, immersive in-person and regional hub. Eligible participants selected for the in-person track may receive travel, accommodation and daily subsistence support, subject to the programme’s funding conditions.
This page is an informational summary. Requirements and dates can change. Confirm every detail on the official provider website before taking action.
About the programme
The World Bank Government Analytics Fellowship 2027 is designed to help government officials and public-sector data practitioners make better use of government data.
Government institutions often collect large amounts of information through administrative records, surveys and other systems. However, this information is not always used effectively to identify problems, measure performance or guide policy decisions.
The fellowship helps participants learn how to turn this information into practical insights that can improve government operations and public services.
The programme builds on the Government Analytics Handbook and combines learning, practical project development and expert support. Participants learn to identify an important problem within their institutions, develop an analytics project and explore how evidence can support better decisions.
The fellowship offers three tracks:
- Online-only: A self-paced virtual option designed for government officials who need flexibility while continuing their professional responsibilities.
- Immersive in-person: A competitive, intensive track for officials who can commit to developing and completing a government analytics project over six months.
- Regional hub: A format intended to bring fellowship activities closer to participants through regional hubs. Specific locations and arrangements should be confirmed through the official programme.
The in-person track includes approximately two weeks of full-time training in Washington, D.C., planned for March 2027. The programme brochure describes a Government Analytics course and participation in a public administration event. Exact dates and logistical details are to be communicated by the organisers.
Who can apply
Applicants must meet the programme's professional and institutional requirements.
- Government employment: Applicants must work in a central government organisation or agency.
- Professional level: Applicants should be mid-level managers or senior analysts, or hold an equivalent position.
- Leadership and authority: Candidates must have sufficient responsibility and authority to develop a government analytics project.
- Institutional nomination: Applications must be supported by the applicant's organisation. Each organisation may nominate a maximum of two fellows.
- Quantitative background: Applicants must demonstrate previous tertiary-level coursework in statistics or related quantitative methods.
- English proficiency: Applicants must have working proficiency in English.
- Project commitment: Candidates should have an appropriate project idea and institutional support to develop it.
Prior experience in data analysis or programme evaluation may be useful, but the supplied programme information does not state it as a compulsory requirement.
The fellowship is designed for government professionals rather than members of the general public seeking a scholarship to study for a university degree.
What you get
Selected participants can benefit from:
- Practical analytics training: Learn how to use government data to understand institutional performance and support better decisions.
- Expert guidance: Receive support from World Bank experts and academic partners, including University College London.
- Project development: Develop an analytics project connected to a real challenge in your government institution.
- Policy and institutional insights: Explore how data can improve public administration, service delivery and government efficiency.
- Professional networking: Connect with government officials, academics, data specialists and other public-sector professionals.
- In-person training support: Eligible fellows selected for the immersive in-person track from ODA-eligible countries receive coverage for travel, accommodation and daily subsistence expenses for the in-person component.
Funding conditions depend on the track and eligibility requirements. The programme should not be described as a universally fully funded international travel opportunity for every applicant, since the online-only and regional hub tracks have different formats.
How to apply
- Visit the official World Bank Government Analytics Fellowship page.
- Review the official 2027 programme brochure.
- Confirm that you work in an eligible central government organisation or agency and meet the professional requirements.
- Discuss your proposed project with your organisation and obtain its formal endorsement.
- Prepare your CV and a 150-word summary of your proposed government analytics project.
- Complete the official online application and upload the required documents in English.
- Ensure that your organisation's endorsement, CV and project summary are submitted before the deadline.
Application portal: The 2027 brochure directs applicants to the World Bank's application website at https://bit.ly/3wQLF1Q. If that link does not open, use the official fellowship page above to confirm the current application route.
The World Bank states that applications must be submitted by the closing date and that late submissions will not be accepted.
Documents required
Applicants are required to submit the following materials in English:
- Comprehensive CV: Maximum of three pages, highlighting relevant professional experience and previous tertiary-level coursework in statistics or related quantitative methods.
- Project summary: A 150-word description of the proposed government analytics project.
- Organisational endorsement letter: A formal letter explaining the organisation's support for the applicant and the proposed project to strengthen government analytics capabilities.
The endorsement should demonstrate that the applicant has institutional backing to develop a project relevant to the organisation's work.
Applicants should follow the instructions in the official portal in case additional information is requested.
Important dates
- Application deadline: November 16, 2026.
- Washington, D.C. in-person training: Planned for March 2027.
- Immersive in-person track: Six-month programme commitment.
- Regional hub locations: To be confirmed by the organisers.
The brochure does not provide a confirmed start date for every track. Applicants should consult the official programme page for updates.
Official links
- Programme information: https://academy.worldbank.org/en/prosperity/institutions/government-analytics-fellowship
- 2027 programme brochure: https://thedocs.worldbank.org/en/doc/3310b2198150e89dc87fc9414f68a3bc-0050012026/original/WB-Government-Analytics-Fellowship-2027-FINAL.pdf
- Application route listed in the brochure: https://bit.ly/3wQLF1Q
- Questions: governmentanalytics@worldbank.org
Official source
Use the official provider's website for current eligibility rules, application instructions, fees and deadlines.
Visit official websiteSource verification date: October 25, 2026. This is not a guarantee that the opportunity remains open.