The official portal is now welcoming applicants for the Stellenbosch University MSc Machine Learning and Artificial Intelligence Scholarship 2027. This elite, structured postgraduate program is specifically designed to train the next generation of African data scientists, researchers, and tech pioneers in high-demand technical skill sets.
Scholarship Overview
| Host Country | South Africa |
| Institution | Stellenbosch University (Faculty of Science) |
| Study Location | Study in South Africa |
| Eligible Countries | African Countries |
| Requirements | NQF Level 8 equivalent qualification |
| Scholarship Category | Postgraduate Scholarships | Masters Scholarships |
| Reward | Full Scholarship |
| Application Closing Date | 31st August, 2026 |
Providing complete financial coverage for successful applicants from across the African continent, this master’s degree path bypasses standard financial roadblocks to keep you at the research forefront of artificial intelligence.
Benefits of Stellenbosch University Scholarship 2026
This fully funded scholarship completely handles the overhead costs of your international or domestic postgraduate residency in South Africa:
- 100% Tuition Fees Waiver
- Comprehensive Living Stipend
- On-Campus or Residential Housing Allowance
- Research & Tech Support
Related Scholarship Opportunities:
- Japan Africa Exchange Scholarship 2027
- LONG Scholarship Program 2026 for Undergraduates
- University of Reading Global Sustainability Leaders Scholarship 2026
- Oxford Saïd Future Leaders Scholarships 2026
Responsibilities
The structured MSc program is designed for rapid, intensive skill development. As an enrolled scholar, your tasks include:
- Completing advanced coursework modules covering core themes like Computer Vision, Natural Language Processing (NLP), and Deep Learning.
- Mastering complex foundational mathematics, including numerical linear algebra, vector calculus, and advanced probability theory.
- Undertaking an independent applied research project and mini-dissertation under the guidance of top-tier African AI researchers.
- Contributing actively to the open research network hosted at the Stellenbosch School for Data Science and Computational Thinking.
Eligibility Requirements
Due to the technical and theoretical depth of this structured coursework, selection parameters are highly rigorous. Applicants must possess one of the following qualifications by January 2027:
- An Honours degree in Applied Mathematics, Computer Science, Mathematics, or Mathematical Statistics.
- A 4-year professional Bachelor’s degree in Engineering (NQF Level 8).
- A verified NQF Level 8 equivalent qualification in a technical field closely linked to mathematical modeling and advanced computational analytics.
- Demonstrable, intermediate-to-advanced proficiency in writing code using Python or a directly equivalent technical scripting language.
- Strong foundational familiarity with multivariable calculus, linear algebra matrices, and basic statistical inference.
- Prior completion of an introductory online or university-level machine learning course.
Required Documents
Ensure you have high-resolution digital copies of the following three core application materials prepared before entering the university portal:
- Comprehensive Academic CV
- Letter of Motivation (Maximum 1 page)
- Statement of Research Interest (Maximum 1 page)
How to Apply for Stellenbosch University Scholarship 2026
Stellenbosch University processes this scholarship natively through its main administrative portal. Follow these directions closely to start your application:
- Click on the button below to visit the scholarship portal
- Navigate to the official Stellenbosch University SUNStudent applicant portal dashboard
- Register your user profile, or securely log in if you already have an existing profile
- Once logged in, click on the “Programme Selection” tab on your user dashboard
- Input the following configurations exactly as listed
- Faculty: Faculty of Science – Stellenbosch
- Programme Type: Postgraduate
- Programme: MSc (Machine Learning and Artificial Intelligence) — select Full-Time
- Attach the documents at “Upload Documents” panel on the left navigation shelf.
- Provide other necessary requirements.
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