Adelaide University
Graduate Certificate in Data Science (Applied)
- Delivery: Online
- Study Level: Postgraduate
- Duration: 8 months
- Course Type: Graduate Certificate
Transform raw data into actionable insights.
Course overview
Learn fundamental data science skills while you keep working. Adelaide University's flexible Graduate Certificate in Data Science (Applied) is taught 100% online and is designed to be completed in eight months of part-time study.
In this graduate certificate, you'll learn from content designed by practising industry-leading data scientists who are experts in their respective fields. Cover core topics in data science technologies and best practices to drive organisational change. Apply the principles of big data and data science analysis to tackle real-world challenges. Implement context-aware data analysis, machine learning and optimisation techniques using industry-standard methods. Evaluate the social and ethical implications of data science to ensure responsible practice. Communicate data insights effectively using advanced analysis, presentation and visualisation techniques.
You’ll emerge with a comprehensive skill set that combines technical expertise with critical thinking and ethical awareness, preparing you to lead data-driven initiatives across various sectors.
Key features
- Learn fundamental data science skills, including key mathematical and data modelling methods.
- Develop understanding of the latest R and Python tricks from leaders in the data science field.
- Benefit from flexible learning with courses taught in intensive and blended modes.
- Study 100% online and at a pace that suits you.
- Obtain only the must-have data science skills to maximise your earning potential.
- Continue onto the graduate diploma or master’s program, or finish with a graduate certificate.
Key facts
May, 2026
July, 2026
August, 2026
October, 2026
What you will study
Students must complete 24 units comprising four core courses. Each course is worth six units.
Core courses
Complete 24 units for all of the following:
- Foundations of Computer Science - Python A
- Data Taming, Modelling and Visualisation
- Applied Data Science
- OL Human and Ethical Factors in Computer Science
Entry requirements
Admission criteria
To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.
- A completed bachelor's (AQF level 7) degree or equivalent from a recognised higher education institution.
Outcomes
Learning outcomes
Throughout, you’ll build a sound working knowledge of the discipline’s technical practice alongside comprehensive skills in evaluating and applying best-practice analytics tools and techniques in real-world settings.
Career outcomes
You could help an organisation identify opportunities for improved customer relationships through better-targeted service offerings. You might help local educators or health providers analyse information and apply improvements from national and global trends. Perhaps you’ll help the Defence Force refine its deployment processes for international peace-keeping initiatives.
Potential roles you could work in include:
- Management Analyst
- Business Data Analyst
- Data Analyst
Fees and FEE-HELP
Indicative annual fee in 2026: $18,508 (domestic full-fee paying place).
All costs are calculated using current rates and are based on a study load of 24 units (normally four courses) per semester or year.
A student’s annual fee may vary in accordance with:
- The number of courses studied per term.
- The choice of major or specialisation.
- Choice of courses.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
You may also need to pay the student services and amenities fee.
Student fees shown are subject to change. Contact the university directly to confirm.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.