MSc in Machine Learning and Artificial Intelligence at Stellenbosch University 2027 — Fully Funded
The MSc in Machine Learning and Artificial Intelligence at Stellenbosch University is open for 2027, with the main application deadline on October 31, 2026 — but if you want to be considered for a full scholarship, you must submit your completed application by August 15, 2026. The programme is a one-year, full-time Master’s degree built for students with a strong background in mathematics, computer science, or engineering who want to specialise in AI and ML at one of Africa’s leading research universities. A limited number of full scholarships are available for outstanding applicants from African countries. There is no separate scholarship form — your programme application is your scholarship application, provided it is submitted before the August 15 funding deadline.
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Stellenbosch University MSc in Machine Learning and Artificial Intelligence Summary
| Programme Overview | Details |
|---|---|
| Programme Name | MSc in Machine Learning and Artificial Intelligence |
| Country | South Africa |
| Degree Level | Master’s (one-year full-time) |
| Benefits | Full scholarship for outstanding African students (limited number available) |
| Funded by | Stellenbosch University |
| Eligible Countries | African countries |
| Scholarship Deadline | August 15, 2026 (for scholarship consideration) |
| General Application Deadline | October 31, 2026 |
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About the Stellenbosch University MSc in Machine Learning and Artificial Intelligence
Stellenbosch University is one of South Africa’s oldest and most research-active universities, consistently ranked among the top institutions on the continent. Its MSc in Machine Learning and Artificial Intelligence is a specialist postgraduate programme housed within the Faculty of Science, designed to take students with a solid quantitative foundation and develop them into researchers and practitioners capable of working at the frontier of AI and ML.
This is not a general computer science conversion programme. It is built for applicants who already have fluency in mathematics, linear algebra, vector calculus, probability and who can programme. The expectation at entry is that you have the technical grounding; the programme builds the AI and ML specialisation on top of it.
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The one-year structure is intensive by design. The programme runs across three blocks: core modules that establish the theoretical and applied foundations of ML, elective modules that allow you to specialise in a chosen area of AI, and a research project that produces a conference- or journal-quality paper with an oral presentation. By the time you graduate, you are not only holding a Master’s degree, but you also have a research output that is ready for the academic or industry job market.
A limited number of full scholarships are available for outstanding students from African countries. Scholarship consideration is automatic for applicants who submit a completed application before August 15, 2026. If you submit after that date and before October 31, your programme application will still be assessed, but you will not be considered for the scholarship funding.
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Programme Structure
The MSc is divided into three blocks:
Block 1 — Core Modules (15 credits each)
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All students complete the following four core modules:
- Mathematics for Machine Learning
- Probabilistic Modelling and Reasoning
- Foundations of Deep Learning
- Applied Machine Learning at Scale
Block 2 — Elective Modules (10 credits each)
Students select six elective modules from the available offerings, which include:
- Computer Vision
- Natural Language Processing
- Reinforcement Learning
- Sequence Modelling
- Monte Carlo Methods
- Artificial Intelligence and the Brain
- Advanced Probabilistic Modelling
- Optimisation for Machine Learning
- Advanced Topics I and II
The confirmed list of available electives for your intake will be provided upon admission, as availability depends on lecturer assignments. Do not plan your application around a specific elective before confirming availability.
Block 3 — Research Project (60 credits)
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The research project is the largest component of the programme, accounting for 60 of the total credits. Under faculty supervision, you apply your coursework to a defined AI or ML research problem. The expected output is a paper of sufficient quality for submission to a peer-reviewed conference or academic journal, accompanied by an oral presentation. The research project is where this programme distinguishes itself — graduates leave with a demonstrated research contribution, not just a qualification.
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What the Stellenbosch University MSc in Machine Learning and Artificial Intelligence Covers
- Full scholarship covering programme costs for outstanding African applicants — a limited number of awards are available each intake
- Automatic scholarship consideration for all completed applications submitted before August 15, 2026 — no separate application required
- Access to leading AI and ML faculty at one of Africa’s top research universities
- A research output — your Block 3 project is designed to produce a conference- or journal-quality paper that strengthens your profile for further study or employment in AI
The exact financial components of the full scholarship — whether it covers tuition only or includes a stipend — are not detailed on the official source. Contact the Stellenbosch University postgraduate office directly to confirm what the scholarship covers before making financial plans based on the award.
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Eligibility Requirements
To be considered for the MSc in Machine Learning and Artificial Intelligence at Stellenbosch University, you must meet all of the following by the time of enrolment:
- You must hold one of the following qualifications:
- An Honours degree in Applied Mathematics, Mathematics, Computer Science, or Mathematical Statistics
- A four-year Bachelor’s degree in Engineering
- An equivalent NQF Level 8 qualification in a closely related field
- You must be proficient in Python or a comparable programming language — the programme uses Python extensively across coursework and research; if you are not yet comfortable with it, begin now
- You must be comfortable with the following mathematical foundations:
- Numerical linear algebra
- Vector calculus
- Basic probability and statistics
These are minimum requirements, not a checklist that guarantees admission. The scholarship pool in particular is competitive — applicants with a strong academic record across their quantitative undergraduate training and demonstrable research or project experience will be best positioned.
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Required Documents
Upload all of the following through the SUNStudent portal when completing your application:
- Comprehensive CV — include your academic background, technical skills, programming languages, projects, and any research or work experience relevant to AI and ML
- Letter of motivation (maximum one page) — explain why you are applying to this programme, what you want to achieve, and how it connects to your longer-term goals. Be specific about what draws you to ML and AI rather than a general postgraduate qualification
- Statement of research interest (maximum one page) — outline the specific AI or ML areas you are interested in exploring. This does not need to be a fully formed research proposal, but it should reflect genuine familiarity with the field
- Academic transcripts and proof of qualifications — upload certified copies of your degree certificates and transcripts from all relevant institutions
On the supervisor question: if the application portal asks you to name a supervisor, upload your research interest statement again in that field. You do not need to have confirmed a supervisor before submitting your application — the programme handles supervisor matching after admission.
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How to Apply — Step by Step
- Go to the SUNStudent Application Portal. Create a profile if you do not already have one, then log in.
- Start a new application under “Programme selection” and select the following:
- Faculty: Faculty of Science — Stellenbosch
- Programme Type: Postgraduate
- Programme: MSc (Machine Learning and Artificial Intelligence) — select full-time
- Fill in your personal and academic details accurately and in full. Incomplete applications delay processing and may affect your scholarship consideration if you are close to the August 15 deadline.
- Upload your documents — CV, letter of motivation, statement of research interest, and academic transcripts. Check that every document is legible and correctly labelled before uploading.
- Review your application and submit. A small application fee may apply. Confirm the fee amount on the portal before submitting.
- Await notification. Shortlisted candidates are notified in August, September, or November, depending on the application round. Monitor the email address on your application and check your spam folder regularly.
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Application Deadlines
The deadline for the Scholarship application is August 15, 2026
The August 15 scholarship deadline is the more important of the two dates for most applicants from African countries. If funding is a factor in whether you can take up this programme — and for most applicants it will be — you must submit your completed application before that date. Do not wait until October.
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Frequently Asked Questions
Is the Stellenbosch University MSc in Machine Learning and Artificial Intelligence fully funded?
A limited number of full scholarships are available for outstanding applicants from African countries. Scholarship consideration is automatic for all completed applications submitted before August 15, 2026 — there is no separate funding application. The number of awards is limited, so admission to the programme does not guarantee a scholarship. Contact the university directly to confirm what the scholarship covers in terms of tuition and living costs.
Can Nigerian and West African students apply for this programme?
Yes. The scholarship is open to students from African countries, and there is no stated restriction on specific nationalities within that group. Nigerian applicants who meet the academic entry requirements — an Honours degree or four-year Engineering degree with strong mathematics and programming skills — are eligible to apply and be considered for the scholarship.
What is the difference between the August 15 and October 31 deadlines?
August 15 is the deadline for scholarship consideration. If you submit a completed application before that date, you are automatically assessed for the full scholarship alongside your programme application. October 31 is the general programme application deadline — applications submitted between August 16 and October 31 will still be reviewed for admission but will not be considered for scholarship funding.
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Do I need to contact a supervisor before applying?
No. You do not need to confirm a supervisor before submitting your application. If the SUNStudent portal asks you to name a supervisor, upload your research interest statement in that field and proceed. Supervisor matching is handled by the programme after admission decisions are made.
What programming language do I need to know for this MSc?
Proficiency in Python is the stated requirement. A similar language may be acceptable, but Python is the standard used across the programme’s coursework and research activities. If you are not yet confident in Python, begin working on it before your application — and certainly before enrolment.
What does the research project in Block 3 involve?
The Block 3 research project is a supervised original research exercise worth 60 credits — the largest single component of the programme. Working under a faculty supervisor, you apply your ML and AI training to a defined research problem. The expected output is a paper suitable for submission to a peer-reviewed conference or academic journal, presented orally. This is a substantive research contribution, not a coursework essay or literature review.
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Disclaimer: All scholarship details, deadlines, award values, requirements, and eligibility criteria were verified from the official scholarship website. Information is subject to change without notice. Always confirm the latest details directly on the official source before submitting your application.
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