Master of Engineering in Industrial Engineering: Focal Area in Data Science at Stellenbosch University

Programme overview

This coursework Master of Engineering (Structured) applies machine learning and other algorithms to processing and analysing small and big data of many types (relational, image, video, audio, text). It develops optimisation and machine learning techniques for use in Industrial Engineering, Engineering Management and related applications. It is a full-time programme.

Faculty: Data Science and Computational Thinking | Department: School for Data Science and Computational Thinking | Duration: Two years | Study mode: full-time | Location: Stellenbosch, Western Cape, South Africa

What you will study

180 credits at NQF level 9: a research assignment of at least 60 and fewer than 90 credits, required modules prescribed by the home department chairperson to make up the balance, and possibly supplementary modules. Modules may be in semester or block format.

Official programme page

Application information

Entry requirements

At least a BEng, BScHons, another relevant four-year bachelor's degree, an MTech or a PGDip (Eng); or other academic qualifications with appropriate experience approved by the Faculty Board on the department chairperson's recommendation. Applicants must also be selected by the home department. Evidence of programming experience (short course certificates with marks) may optionally be submitted. Selection is competitive and meeting the minimum does not guarantee admission.

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.

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