This programme funds full scholarships for African students to pursue a one-year structured MSc in Machine Learning and AI at Stellenbosch University, aiming to increase the number of highly skilled AI researchers and practitioners from the continent. It exists to remove financial barriers and provide world-class training, with the ultimate goal of fostering AI expertise and innovation in Africa.

Eligibility: Must be a citizen of an African country (as per IIE's Google DeepMind scholarship criteria). Must apply for admission to the MSc (Machine Learning and Artificial Intelligence) programme at Stellenbosch University by the deadline (15 August 2026 for scholarship consideration, 31 October 2026 for general admission). Academic merit: Strong academic record, typically a bachelor's degree with high grades in a relevant field (e.g., computer science, mathematics, engineering, or related). Demonstrated interest and aptitude in machine learning and AI, as evidenced by coursework, projects, or research. Motivation and career goals: A compelling letter of motivation and statement of research interest that align with the programme's goals and show potential for impact in Africa. No need to identify a supervisor at application; selection is based on the application materials. The scholarship is administered by IIE, which may have additional criteria such as financial need and leadership potential.

Past winners are typically high-achieving African students with strong quantitative backgrounds (e.g., computer science, engineering, mathematics) who have demonstrated excellence in their undergraduate studies and a clear passion for AI/ML. They often have some research or project experience, but not necessarily publications. The programme values diversity and potential for future leadership in AI on the continent. No specific named examples are available on the page, but the profile is that of a promising early-career scholar from Africa seeking formal ML training.

The platonic ideal applicant is an African citizen with a stellar academic record in a quantitative discipline, proven hands-on experience in machine learning or AI (e.g., through projects, research, or work), and a clear vision for how an MSc in ML/AI will enable them to solve pressing problems in Africa. They are highly motivated, articulate, and demonstrate leadership potential, with a strong desire to contribute to the growth of AI research and innovation on the continent.