African Women in Agricultural Research and Development (AWARD) African Women in Data Science Fellowship 2025 – Opportunities For Africans

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Application Deadline: July 31, 2025, at 11:59 PM East Africa Time (GMT+3).

Applications are actually open for the 2025 AWARD’s African Women in Data Science Fellowship. African Women in Agricultural Research and Development (AWARD) is happy to announce the launch of the inaugural African Women in Data Science Fellowship. This well timed initiative responds to the rising demand for data-driven management to sort out the urgent challenges of meals insecurity and local weather change throughout Africa. 

The Fellowship goals to boost the management and technical capabilities of African girls professionals using knowledge science to foster inclusive, evidence-based innovation in agrifood techniques and local weather resilience. Building on AWARD’s confirmed monitor report in cultivating African girls leaders in agricultural analysis and improvement, this system adapts our Fellowship mannequin to fulfill the calls for of an evolving knowledge and expertise panorama.

Eligibility Criteria

• Female residents of one of many following nations: Benin, Côte d’Ivoire, Ethiopia,
  Kenya, or Malawi.
• Hold at the least a Master’s diploma in one of many following: Applied Statistics, Biostatistics,
  Agricultural Engineering, Biosystems Engineering, Agricultural Economics, Data
  Science, Bioinformatics or associated disciplines.
• Have 5 to 10 years {of professional} expertise in a data-related position, ideally linked to
  agriculture, local weather, or improvement sectors.
• Demonstrate intermediate proficiency in English (studying, writing, and talking).
• Be dedicated to full participation in the 12-month program, together with on-line and inperson actions.
• Resident in an African nation all through the Fellowship interval
• Is not a specific Fellow for every other Fellowships provided by AWARD
• The program targets African girls from Benin, Côte d’Ivoire, Ethiopia, Kenya, and Malawi with demonstrated expertise in data-related roles and a dedication to making use of knowledge for improvement. Fellows will likely be drawn from numerous sectors, together with authorities, academia, analysis, civil society, improvement companies, and the non-public sector.

Program Details

As a Fellow, you’ll interact in the next core actions:

• Participate in a 7-day, face-to-face girls’s management course designed to strengthen your confidence, affect, and capability to guide data-driven options (November 2025).
• Join a 2-week immersive in-person knowledge science coaching course masking Python programming, machine studying, knowledge wrangling, visualization, and statistical evaluation (February 2026).
• Complete a 2-month digital course centered on the application of information science instruments to real-world challenges in agrifood techniques and local weather resilience (April – May 2026).
• Design and implement a data-driven capstone venture addressing a sensible situation in agriculture or local weather. You will obtain modest seed funding and technical steerage for venture execution (February – September 2026).
• Undertake a aggressive short-term institutional placement (1–3 months), generally known as Advanced Science Training (AST), inside your home nation. This placement offers a chance to apply your abilities in a real-world setting and additional deepen your technical experience (May – September 2026).
• Receive ongoing steerage from senior knowledge science professionals via structured mentoring relationships, together with orientation, check-ins, and aim setting (March – November 2026).
• Participate in knowledge-sharing periods, storytelling actions, and skilled engagement Opportunities via AWARD’s community (Throughout the fellowship).

Call for Applications open – June 10, 2025

• Call for Applications closes – July 31, 2025
• Selected individuals notified – October 2025
• Fellowship begins – November 2025 (In-person coaching in Kenya)
  
  Key Components Assessed
• Technical proficiency: demonstrated application of information science instruments and reasoning
• Motivation and profession objectives: alignment with the Fellowship aims
• Use-Case proposal: relevance, feasibility, and potential affect
• Practical knowledge train: capability to interpret knowledge and talk insights
  Contact and Support
  For questions concerning the application or the Fellowship, please ship an electronic mail to
  [email protected]

For More Information:

Visit the Official Webpage of the AWARD’s African Women in Data Science Fellowship