Publisher
source

University of Nicosia

Fully-Sponsored Data Science & AI Training for Final-Year STEM Undergraduate Women University of Nairobi in

Degree Level

not provided

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026

Country

University of Nairobi

University

University of Nicosia

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Keywords

Computer Science
Data Science
Information Technology
Biology
Artificial Intelligence
Salud Pública
Internship
Statistics

About this position

The ENGAGE Project is inviting applications for a fully-sponsored Data Science & AI training for young women in Kenya. The opportunity is offered in collaboration with universities across Kenya, with the poster showing institutional branding from the University of Nairobi, ENGAGE, and University of California, San Francisco.

This programme is aimed at final-year STEM undergraduate women who are interested in learning data science and artificial intelligence to help address real-world public health challenges. The training focuses on practical skills such as coding and deploying models, followed by a 6-week internship where participants can apply the skills in real-world settings.

The post indicates a training period from 3rd August to 28th August 2026, followed by the internship. The application instructions direct candidates to visit engage.uonbi.ac.ke, click Apply Now, and proceed with the portal steps. The post also includes a QR code for quick access.

This is not a degree admission call, but a sponsored training and internship opportunity in computer science, information technology, statistics, and public health with a strong applied research and data-for-health orientation.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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