Program Overview
Overview
The Data Analytics program at the University of Southern Queensland is designed to equip students with essential knowledge in big data, focusing on data analytics. This program aims to prepare students to help organizations extract new insights from raw data, informing the development of new products, improved services, and new businesses. Students will learn to find patterns in historical data, understand the present, and predict the future using data across various operational contexts.
Career Outcomes
Graduates of the Data Analytics program may find work as:
- Data analyst (within health, marketing, etc.)
- Data scientist
- Data consultant
- Data engineer or data architect
- Business analyst
- Quantitative analyst
- Data mining analyst
- Fraud data analyst
- Data analytics manager
The field of data analytics is increasingly important, with more companies realizing the need to make data-driven decisions. This trend suggests an exciting future for careers in this field.
What You'll Study
The program includes core units such as:
- CIS6008 - Business Intelligence
- CSC6001 - Data Visualisation
- CSC6711 - Cloud Security
- CSC6205 - Applied Analytics
For detailed recommended enrolment patterns and course availability, students should refer to the UniSQ Handbook.
Relevant Degrees
The Data Analytics specialisation is part of the Master of Data Science degree. This master's program is designed to develop in-demand skills in extracting new insights to inform product development, improved services, and new businesses. It is accredited by the Australian Computer Society (ACS) and allows students to tailor their degree by choosing a specialisation that aligns with their career goals.
The Master of Data Science program focuses on preparing students to make an impact in a technology-driven world. It teaches students to work both independently and collaboratively, developing industry-recognised skills that are highly valued in the job market.