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Quantum Leap Africa 2022 PhD in Data Science for African Scientists

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The field of data science is emerging as a critical discipline with high relevance to economic growth and development. This doctoral training program established by AIMS will provide emerging African scientists the opportunity to conduct research at the forefront of data science, and work towards a PhD degree within a high-quality training program in Africa, in cooperation with institutions internationally.

The program will focus on theoretical foundations of data science as well as applications of data science to improve the daily lives of Africans. It is built on the understanding that modern approaches in data science require a combination of expertise spanning the areas of mathematics, statistics, computer science, and the applied sciences.

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PhD in Data Science

Application DeadlineNot Specified
TypePhD
SponsorQuantum Leap Africa (QLA)
GenderMen and Women

Aim and Benefits of PhD in Data Science

  • Length of program: 4 years
  • Fully funded (stipend, equipment, health insurance, relocation costs, conference attendance, direct cost to graduating institution such as tuition fees and registration fees)
  • International supervision teams from well-known research institutions
  • Research topics that push the boundaries of data science (focused on AI/ML and/or health)

Requirements for PhD in Data Science Qualification

  • Master’s degree (completed by Sept 2022) in mathematics, statistics, computer science, engineering, physics or other relevant fields;
  • Sufficient theoretical foundations evidenced by prior work (courses/thesis/other training);
  • Qualification for pursuing research on the chosen topic, including relevant programming expertise;
  • Research potential evidenced by academic performance and involvement in relevant academic activities;
  • Motivation for pursuing a PhD by research in the suggested topic;
  • Being an African national.

Application Deadline

Not Specified

How to Apply

For more details, visit Quantum Leap Africa website.

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