Program Description: 

Title: Apply for the African Women in Data Science Fellowship 2025

Application deadline: 31 July 2025 at 11:59 PM EAT (GMT+3)

Is your withdrawal stuck on Cleva or Geegpay? Payoneer or Upwork taking forever to pay you? Here is the solution

Apply for the African Women in Data Science Fellowship 2025: Overview

Applications are now open for the inaugural African Women in Data Science Fellowship by African Women in Agricultural Research and Development (AWARD). This transformative 12-month program is designed to strengthen the leadership and technical capacity of African women, leveraging data science to solve challenges in agrifood systems and climate resilience. The fellowship responds to Africa’s urgent need for data-driven leadership in tackling food insecurity and climate change and is tailored to empower African women from diverse sectors to lead impactful, evidence-based innovations.

Apply for the African Women in Data Science Fellowship 2025: Eligibility

Applicants must:

• Be African women from Benin, Côte d’Ivoire, Ethiopia, Kenya, or Malawi

• Have foundational experience in data-related work

• Be motivated to apply data science to solve challenges in agriculture and climate resilience

• Be working in government, academia, research, civil society, development agencies, or the private sector

Apply for the African Women in Data Science Fellowship 2025: Benefits

• 7-day Women’s Leadership Course (November 2025)

• 2-week in-person Data Science Bootcamp (Python, ML, visualization, stats) (February 2026)

• 2-month virtual course on applying data science in agriculture/climate (April–May 2026)

• Seed funding & mentorship to execute a capstone data-driven project (Feb–Sept 2026)

• 1–3 month institutional placement (AST) to apply skills practically (May–Sept 2026)

• Structured mentorship from senior data science professionals (March–Nov 2026)

• Professional networking & storytelling activities through AWARD’s global network

Application Requirements

• Completed online application form

• Supporting documents (as outlined in the official guidelines)

Selection Criteria

• Demonstrated experience in data-related roles

• Clear motivation and commitment to applying data science for development

• Leadership potential and commitment to fostering inclusive innovation