What South African Reserve Bank Master's in Data Science and Machine Learning Scholarship 2027 actually covers.
The South African Reserve Bank's master's scholarship in data science and machine learning reflects the growing importance of advanced analytics to central banking, economic policy and the wider financial sector. Open to South African citizens, the award supports graduates who want to specialise in the quantitative disciplines that increasingly underpin decision-making across government, finance and industry. Data science and machine learning skills are in acute demand across the continent, and this scholarship offers a rare chance to pursue focused postgraduate study in these fields with the backing of one of Africa's most respected financial institutions. Beyond funding, association with the SARB signals the calibre of recipients and can open doors to research collaborations and careers at the intersection of economics, technology and public policy. Applicants should have a strong quantitative background, typically an undergraduate or honours degree in a relevant field such as statistics, computer science, mathematics, economics or engineering, and should be able to demonstrate both technical aptitude and a clear sense of how they intend to apply their skills. As with many national schemes, candidates may be subject to conditions relating to future service or contribution. With a deadline at the end of October, prospective students have time to identify a suitable master's programme, prepare academic references and articulate a compelling case for why they are well suited to this competitive and forward-looking scholarship.
Who can apply.
Open to masters applicants seeking to study in South Africa.
Open to applicants from across the African continent. Confirm specific nationality eligibility on the official application page.
Every academic discipline is accepted.
This programme does not restrict by field. Research proposals across humanities, sciences, engineering, agriculture, and medicine are all accepted.
From here to submitted.
Scholar Africa helps you discover, shortlist, and track. The application itself is submitted on the provider's site.
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Save itAdd this to your shortlist so we can recommend similar scholarships and remind you of the deadline.
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Prepare your documentsMost providers ask for the same set — transcripts, references, a personal statement, ID. Use the checklist below to track progress across all your applications.
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Apply on the provider's siteSubmit on the provider's site before October 31, 2026 · 117 days left.
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Track the outcomeAdd to your tracker so you can update the status as the provider responds (shortlisted, interview, decision).
Document checklist
Checks are local to this device — they're not stored. Always confirm exact requirements on the provider's official application page.
What we checked, when we checked it.
Scholar Africa runs a link-liveness check on every listing before it goes live and an admin manually reviews every scholarship submitted by providers. South African Reserve Bank Master's in Data Science and Machine Learning Scholarship 2027 is awaiting manual review. Five deeper checks (contact, organisation, winners, third-party, formal audit) are on the roadmap.
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Other scholarships worth a parallel application.
Same eligibility window or destination. Many strong applicants apply to three or four programmes per cycle.