Stellenbosch University
Master of Engineering in Industrial Engineering focused on Data Science
The Master of Engineering in Industrial Engineering focused on Data Science in Engineering and Technology is offered by Stellenbosch University.
Program Length: 2 YEARS.
Master of Engineering in Industrial Engineering focused on Data Science offered by the Stellebosch University at the Faculty of Engineering
Data science (DS) is the scientific investigation that employs innovative approaches and algorithms, most notably machine learning algorithms, for processing and analysing data. DS technologies can be applied to both small and big data, of various types such as relational, images, video, audio, and text. Big data constitutes extremely large data sets that may be analysed computationally to reveal patterns, trends and associations, especially relating to human behaviour and interactions.
This programme focuses on enabling students to develop innovative optimisation and machine learning techniques to produce novel, efficient and robust data science technologies, for use in Industrial Engineering, Engineering Management and related applications
The programme consists of 8 x 15 credit modules, that will be presented in blocks (each block has a duration of one week), and students must attend these blocks at Stellenbosch University. Assignments for each module will be required to test the application of the theory exposed to in the module. Students will automatically be registered for the Professional Communication 871 module of 1 credit to be completed online. A final 60 credit project must be completed, where the knowledge gained in all 8 modules can be applied on a relevant industry related project.
Project Management 15
Advanced Topics in Engineering Management 15
Numerical Methods 15
Project Economics and Finance 15
Data Science (Eng) 15
Applied Machine Learning 15
Optimisation (Eng) 15
Big Data Technologies (Eng) 15
Data Analytics (Eng) 15
SELECTED SPECIALIZATION MODULE
Students need to select one of the choices below (the availability and time schedules of these courses must be confirmed before enrolment as some of the modules may be semester modules)
Deep Learning (Industrial Engineering) 15
Advanced Design 15
Robotics 15
Control Systems 15
Advanced Dynamics 15PROJECT
Data Science Project
Students will be required to apply and consolidate the knowledge gained throughout this program. For this purpose, students will solve a real-world engineering data science project, providing solutions for each step of the data science project life cycle. As outcome of this project, students will produce a dissertation, describing all of the life cycle phases and research conducted in order to provide a solution to the specific data science problem. It is encouraged that the knowledge gained in specialisation module selected above, is utilised in the project.
