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Good practice Imported

Women Techsters Fellowship — Tech4Dev's AI & Data Science Track for African Women and Girls

Nigeria · Lagos · See the Nigeria profile · See the Lagos profile

Evidence: Descriptive / self-reported Top 27% 60/100 · Ask Evidence Copilot about this practice

Tech4Dev's free 12-month fellowship trains African women and girls (16–40) in Data Science & AI Engineering plus 6 other tracks. Since 2017: 124,000+ trained in 30 countries; one cohort graduated 847 of 1,398 admits; 73% find jobs within 6 months.

124000+
Women and girls reached since 2017
73 %
Graduates securing tech jobs within 6 months
61 %
Cohort completion rate
Women Techsters Fellowship — Tech4Dev's AI & Data Science Track for African Women and Girls

Details

Maturity
Scaling
Promoter
Tech4Dev (Technology for Social Change and Development Initiative)
Period
2017–present
Keywords
AI literacy, data science education, digital skills, workforce development, gender equity

Context

Tech4Dev, a Nigerian non-profit founded in 2016, launched the Women Techsters Fellowship in 2017: a free 12-month programme (6 months training, 6 months internship/entrepreneurship support) for women and girls aged 16-40, with Data Science and AI Engineering as one of seven specialisation tracks.

Results

Since 2017 the fellowship has reached 124,000+ women and girls across ~30 African countries and 263 cities. In one reported cohort, 14,782 women applied, 1,398 were accepted and 847 graduated (~61% completion); Tech4Dev reports 73% of graduates secure tech jobs within six months.

Implementation
Indicative cost
Low (< €50k)
Time to results
Medium (1–3 years)
Staffing & skills
Tech4Dev instructors and mentors, internship/entrepreneurship support coordinators

Conditions for success

  • free access removing cost barriers
  • blended virtual instruction plus in-person mentorship hubs

Commonly funded by

Philanthropic / foundation funding

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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