Get job-ready with strong foundations in data analytics
Transform raw data into powerful insights with Adelaide University's Associate Degree in Data Analytics. Build foundational skills in data collection, analysis and visualisation to launch your career in Australia's fastest-growing tech field.

What works best for you?
Foundation entry
Accessible data analytics qualification designed for career changers and those seeking flexible pathways into the growing tech industry without traditional entry barriers.
Associate Degree in Data Analytics
Launch your data career in just two years. You’ll cover programming, database design, and data analysis. Explore real-world case studies and gain hands-on experience. Graduate job-ready for entry-level roles – or continue to study with credit.
2 years full-time
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Student Advisor
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Frequently asked questions
How flexible is this program for working professionals?
The Associate Degree in Data Analytics is designed with your lifestyle in mind, delivered 100% online to provide maximum flexibility. You can complete the program full-time in just 2 years or part-time over 4 years, allowing you to study at your own pace whilst managing work and personal commitments. This makes it perfect for career changers or professionals looking to upskill without disrupting their current responsibilities.
What career opportunities are available after completing this degree?
With your Associate Degree in Data Analytics, you'll be ready to step into the dynamic and growing data analytics field. This industry-recognised qualification prepares you for roles such as Data Analyst, Business Intelligence Analyst, or Data Coordinator across various industries. The program's focus on practical skills and real-world applications ensures you'll graduate job-ready with the expertise employers are seeking.
What will I learn in the Associate Degree in Data Analytics?
You'll develop essential skills to transform raw data into powerful insights that drive business growth. The program covers data collection, management, and analysis techniques, plus the latest tools for data cleaning and acquisition. You'll learn problem-solving, mathematics, and statistics, whilst gaining hands-on experience with cutting-edge technology and software through real-world case studies and simulated work environments.