Businesses collect huge volumes of data – it’s everywhere. There is a real need for people who have the skills to identify, interpret and analyse trends from the collected data. In health, education, government, in small and large businesses, big data is used to make informed decisions. Banks look for unusual transactions, hospitals look for trends in admissions, and schools for patterns in student progress.

You will study areas such as information and data analysis, allowing you to discover and quantify patterns using statistics, statistical inference, regression analysis, and machine learning. You are introduced to the appropriate methods and tools that are applied to retrieve, transform, organise, visualise, and analyse data. You will develop technical knowledge in a range of topics including statistics, statistical inference, high performance computing and visualisation.

You can successfully complete the SAS® Undergraduate joint certificate program (JCP) curriculum in Data Analytics and Visualization. SAS software gives you the tools and opportunity to excel in using and applying SAS technologies to solve real-world business problems. Achieving the JCP gives you a competitive advantage as you move into the data analytics job market.

Your final year project will give you the opportunity to put your learning into practice as you analyse large data sets. You may uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. Your analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits.

Professional recognition

This program holds Professional Level accreditation with the Australian Computer Society (ACS).

Students can be awarded the SAS® Undergraduate joint certificate program in Data Analytics and Visualization on successful completion of the required courses.

Career Outcomes

• Data scientist
• Database administrator
• Business analyst
• Systems analyst
• ICT consultant
• Data analyst