Stellenbosch University

Overview

The MSc in Industrial Engineering (Data Science) at Stellenbosch University integrates data science and machine learning to address real-world industrial and engineering challenges. This program equips students with the skills to develop optimization and analytics solutions for both structured and unstructured data, which includes text, images, audio, and video.

What you'll study

This program combines advanced coursework with applied research, allowing students to engage deeply with the field of data science within industrial engineering. The curriculum typically encompasses:

• Advanced modules in data science and industrial engineering, covering topics such as machine learning, optimization, data analytics, and modeling.
• Techniques for handling various types of data, including both structured and unstructured formats.
• Research and project work that focuses on solving practical engineering or industrial issues through the application of data science methodologies.
• Assessment methods that may include a combination of coursework and a research component, typically culminating in a dissertation or capstone project.

Entry requirements

Applicants should possess a relevant four-year bachelor's degree, such as a BEng, BScHons, MTech, or PGDip (Eng). Consideration may also be given to candidates with other qualifications that demonstrate relevant experience, subject to the approval of the Faculty Board. Additionally, proficiency in English is required, with minimum scores typically set for standardized tests such as TOEFL, PTE, or IELTS.

Career prospects