Data engineers build the hardware and software infrastructure and systems that drive data collection, transmission, storage, and analysis.
What will I learn?
This infrastructure, which ranges from the Internet of Things to cloud storage and computation, enables organisations to innovate and optimise their services using broadband networking and powerful computing. It affects transport, healthcare, e-commerce, finance, environment and defence management.
In the Data Engineering major you will learn the theoretical foundations, entrepreneurial values and professional skills required to build secure data platforms of all sizes. You will develop skills in research and advanced practice, gain in-depth knowledge in one or more areas of specialisation, and learn to embrace innovation in order to achieve excellence in engineering.
The current specialisations offered in the Data Engineering major include: cybersecurity, data analytics, real-time systems (internet of things), networks, and image processing, multimedia and pattern recognition.
- Data Engineer
- Data Scientist
- Data Analyst
- Data Architect
- Business Analyst
- Visualisation Analyst
- Developer, Big Data Platform
- Data Network Engineer
- Software and Systems Operations
What is the 'Internet of Things'?
The Internet of Things (IoT) is predicted to have 50 billion 'things' connected to the net by 2020. These 'things' include mobile phones, home appliances, healthcare devices, lights, wearable devices, engines and machinery, all of which include sensors, software and electronics that can receive and push data.
The value generated from the IoT comes from the management and analysis of the data coming from these devices.
For example, athletic clothing can record biometric readings including heart rate, calories burned, activity level and depth of breathing. This data can be connected to a fitness tracking device e.g. watch or phone to record all activities and generate daily/weekly/monthly reports on fitness levels.
In agriculture, an IOT based smart farm can monitor the crop through sensors to track light, humidity, temperature, soil moisture etc and automate the irrigation system. This allows the owner to monitor conditions, increase efficiency and manage resources.