The AIMS African Masters of Machine Intelligence (AMMI) Scholarship prepare well rounded Machine Intelligence (MI) researchers by focusing on basic research in MI as well as the development of a vast array of applications that respond to both present and future needs of Africa and the world.
Established in 2003, the African Institute for Mathematical Sciences (AIMS) is Africa’s first and largest network of centres of excellence for innovative post-graduate training in mathematical sciences. We enable Africa’s youth to shape the continent’s future through Science, Technology, Engineering and Mathematics (STEM) education, public engagement and research. We have five centres of excellence in South Africa, Senegal, Ghana, Cameroon and Rwanda.
AMMI graduates will go on to create and/or join the best industrial and public R&D labs in Africa and beyond therefore strengthening the African MI community and scientific community at large, achieving crucial breakthroughs for the global good.
The minimum admission requirements are:
A bachelor’s degree in mathematics, computer science, computer engineering, electrical engineering or a recognized equivalent from an accredited institution;
A satisfactory scholastic average, usually a minimum average of B (or 80%) or better is required;
Interest and/or background in artificial intelligence, machine learning etc. demonstrated in courses taken and projects undertaken;
Consent to mentor an undergraduate student at your previous institution while enrolled at AMMI; Consent to mentor an AMMI student after graduation;
Strong interest in solving national or continental problems using science and technology.
To apply, candidates must be ready to submit the following documents;
Academic history
Three letters of recommendation
Personal statement
Background summary
Note: Your Original degrees, diplomas, academic certificates and transcripts should be in your possession upon arrival on Campus.
Interested and qualified applicants should use the “CLICK HERE TO APPLY” button to complete the application processes.
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