Overview
The South African Reserve Bank is offering a full scholarship for 2027 Master's study in data science, machine learning and artificial intelligence, with specific reference to financial analytics.
Complete scholarship details
The scholarship is offered with the Data Science Academic Committee of the National Graduate Academy for Mathematical and Statistical Sciences. Eligible programmes include specified Master's degrees at North-West University, University of the Western Cape, Wits/partner institutions, Stellenbosch University, University of KwaZulu-Natal, University of Pretoria and University of Cape Town. Applicants use promo code SARBDSM27 on the online bursary platform.
Eligibility requirements
Applicants must be South African citizens younger than 35, be full-time students, hold a relevant Honours degree with at least a 65% overall average, have provisional acceptance into one of the identified Master's programmes, and select modules that include financial-analytics topics. SARB may require scholarship recipients to attend specified workshops.
Tips for this scholarship
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Check eligibility, funding coverage, study/project level and every required document before investing time in the application.
- Prepare transcripts, references, language tests, proposal/motivation statement and proof documents early.
- Separate the scholarship deadline from any university/program admission deadline; they may be different.
- Treat “fully funded” as a source fact only when the official provider explicitly confirms the covered costs.
Verification notes
Verified against the official one-page SARB 2027 scholarship PDF and publication page on 28 August 2026. The PDF confirms full scholarship status, eligible fields/programmes, South African citizenship, under-35 age limit, relevant Honours degree with at least 65%, provisional Master's acceptance, promo code SARBDSM27 and a 31 October 2026 closing date. No closing clock time is printed, so deadline is null rather than invented.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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