SARB 2025 Master’s in Data Science and Machine Learning Scholarship
The South African Reserve Bank (SARB) is now welcoming applications from candidates applying for the Master’s degree in Data Science and Machine Learning students to apply for a full scholarship for the 2025 academic year.
The SARB in collaboration with the Data Science Academic Committee of the National Graduate Academy for Mathematical and Statistical Sciences (NGA(MaSS)), offer the competitive SARB bursaries in the fields of data science, machine learning and artificial intelligence, with specific reference to financial analytics.
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Scholarship Summary:
Scholarship Sponsor(s): South African Reserve Bank (SARB)
Host Institution(s): South African Universities
Funding Amount: Funded
Number of Awards: Several
Scholarship Level: Master’s degree
Nationality: South African Students
Requirement and Eligibility Criteria for the SARB Master’s in Data Science and Machine Learning Scholarship:
- Applicants must have provisional acceptance into one of the identified Master’s programmes;
- The modules selected should include financial analytics topics;
- Applicants must have a relevant Honours degree with an average of at least a 65% overall pass mark;
- Applicants must be a full-time student;
- Applicants must be a South African citizen; and
- Applicants must be younger than 35 years of age.
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Application Procedures for the SARB Master’s in Data Science and Machine Learning Scholarship (How to Apply):
Interested and eligible applicants are expected to submits Application Online through: https://ttibursaries.co.za/students/.
Potential external bursars will be required to avail themselves for interviews. Successful applicant(s) for the scholarship will be expected to sign an agreement with the SARB.
Bursary holders will be required to submit their examination results before Tuesday, 31 December 2024, regardless of whether they will be awarded a bursary for the following year or not.
Application Deadline: December 31, 2024
For more information Visit the Official Website.
