Electrical and Electronic - Data Engineering Stellenbosch University

Overview

Electrical and Electronic - Data Engineering from Stellenbosch University includes developing systems to generate the data itself, then creating the tools used for analysing and modelling the data to find patterns that indicate trends. Identifying these trends and understanding the cause of the actions will lead to a better understanding of complex systems, and being able to come up with a solution.

Key facts

Data engineers must understand what the company or organisation needs to find out from the data. Then the data engineer needs to make the data available for analysis. Where is it coming from? How is it stored? Who can access it? (And who shouldn’t be accessing it?) More technically: Data engineers develop and maintain an organisation’s data pipeline systems, including creating devices and networks using smart devices, cell phone apps, and the internet that will generate data, and then collecting, storing, synchronising, transforming, cleaning data, and making sure the data is used ethically. You’ll need to develop algorithms (instructions for computer software systems) to help make raw data more useful, by transforming the data into a more usable format that can be mined and modelled. To understand the system by looking at the data, you’ll create and use tools that include Artificial Intelligence systems and Machine Learning to mine important information from the data. Once you have understood what the data patterns mean, you’ll need to communicate the results to different audiences.