Engineering
Stellenbosch University, South Africa
A structured coursework master's programme (180 credits) designed for students with a strong mathematical and computational background, covering the fundamentals of machine learning and AI plus techniques at the research forefront of these fields.
Faculty: Science | Department: Mathematical Sciences | Duration: Two years | Intake: Presented in-person on the Stellenbosch campus from January to December; applications close 31 Oct 2026 | Study mode: part-time | Location: Stellenbosch, Western Cape, South Africa
Three 60-credit blocks: compulsory core modules (Applied Machine Learning at Scale, Foundations of Deep Learning, Mathematics for Machine Learning, Probabilistic Modelling and Reasoning), elective modules (e.g. Computer Vision, Natural Language Processing, Reinforcement Learning and Planning, Monte Carlo Methods) and a 60-credit Research Project (Machine Learning). A pass requires at least 50% for the research project and each module.
One of: an honours degree in Applied Mathematics, Computer Science, Mathematics or Mathematical Statistics; a four-year bachelor's degree in Electrical Engineering; or an equivalent qualification in a field closely linked to machine learning. Demonstrable proficiency in Python or an equivalent language, numerical linear algebra, multivariable calculus and basic probability and statistics are expected. Supporting documents: CV with three referees, motivational letter and research outline. Final approval rests with the departmental academic committee.
The application fee is R100 for South African citizens, permanent residents and refugee, asylum seeker and diplomatic status holders, and R400 for international applicants. Stellenbosch Business School applicants pay R1050 for the MBA and R850 for other SBS programmes. Some applicants are exempt; application fees are non-refundable.
Engineering
Stellenbosch University, South Africa
Engineering
Stellenbosch University, South Africa
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