Back to Home

SARB Scholarship South Africa 2026

Provided by:South African Reserve Bank (SARB)

EducationScienceTechnology

Description

The South African Reserve Bank (SARB), in collaboration with the Data Science Academic Committee of the National Graduate Academy for Mathematical and Statistical Sciences (NGA(MaSS)), is offering a scholarship for Master’s degrees in Data Science and Machine Learning, specifically within the realm of financial analytics. This program is intended for students aiming to enhance their skills and qualifications in data science, which is increasingly crucial for effective economic management and innovation in South Africa. To be eligible for this prestigious scholarship, applicants must be South African citizens under the age of 35, who have completed a relevant Honours degree with a minimum average of 65%. Candidates must also receive provisional acceptance into one of the identified full-time Master's programs at leading universities, ensuring that their chosen modules encompass financial analytics topics. This interdisciplinary approach not only caters to the academic aspect but also bridges the gap between theory and practical application in data science, aiding the development of proficient professionals who can contribute positively to the economy. The scholarship covers several renowned postgraduate programs, including Master’s degrees in Analytics or Data Science at the University of Cape Town, MComm in Advanced Data Analytics at the University of Pretoria, MComm in Financial Risk Management at Stellenbosch University, and various other respected institutions across South Africa. Each of these institutions offers a robust curriculum designed to equip scholars with both theoretical knowledge and practical skills necessary for tackling real-world challenges in data science and financial analytics. Successful applicants will undertake the opportunity to attend workshops and seminars necessary for their development, and must be prepared to submit their final exam results by December 31, 2025, ensuring that scholarship recipients maintain the standards expected by the SARB and NGA(MaSS). Prospective candidates are advised to finalize their applications before the closing date of October 31, 2025, and ensure that all required documentation is submitted in a clear and organized manner to avoid disqualification. The selection process will involve interviews for shortlisted candidates, providing an additional layer for the SARB to discern candidates most suited for the scholarship. This scholarship not only provides vital financial support but also fosters a community of scholars dedicated to the exploration and application of data science in the context of South Africa's economic landscape. It aims to cultivate future leaders and innovators in these fields, contributing to the nation’s progress and development.

Funding & Program Benefits

Financial support for Master's studies

Networking opportunities

Workshops and additional training

Eligibility Requirements

  • Must be a South African citizen
  • Must be under the age of 35
  • Must have completed a relevant Honours degree with a minimum overall average of 65%
  • Must have received provisional acceptance into one of the full-time Master's programmes listed
  • Must have selected modules that include financial analytics topics

Required Documents

  • Certified copy of ID document
  • Most recent exam results on institution's letterhead
  • Honours degree certificate or statement of results on institution's letterhead
  • Proof of acceptance at one of the approved universities with student number on institution's letterhead

Key Details

Application Deadline

Oct 31, 2025

Fields of Study

Data Science

Machine Learning

Financial Analytics

Statistics

Business

Study Levels

Master's

Submission Information

Applications can be submitted online through the website.

Via Website:

Apply Now

Support Information

For any queries or support regarding this opportunity, please use the contact details below:

Tel: 010 746 4366, Email: info@ttibursaries.co.za