Charles Sturt University
Graduate Certificate of Data Science
- Delivery: Online
- Study Level: Postgraduate
- Duration: 6 months
- Course Type: Graduate Certificate
Develop your ability to extract valuable insights from large data sets and use this information to guide your decisions, both significant and minor.
Course overview
Big data is a big deal. Study data science online at Charles Sturt to capture, analyse and make massive volumes of data meaningful, the invisible backbone that feeds a dynamic organisation’s strategic and operational decisions. Think of Netflix, Amazon and Facebook – to start. The Graduate Certificate in Applied Data Science from Charles Sturt University will take you behind the curtain and equip you with the skills to extract value from masses of data, then use it to inform decisions – big and small.
Key facts
13th July, 2026
What will you study
To complete the Graduate Certificate of Data Science, you must complete 32 points consisting of one subject from the core subject listing and any three subjects from the restricted electives.
Core Units
- Foundations of Big Data Analytics
Electives
Select three subjects from the following:
- Data Mining and Visualisation for Business Intelligence
- Database Systems
- Programming Principles
- Internet of Things
- Data and Knowledge Engineering
- Artificial Intelligence and Machine Learning
- Advanced Statistical Modelling
- Multivariate Statistical Analysis
- Scientific Data Analysis
- Experimental Design and Analysis (PG)
Entry requirements
Bachelor's degree from a recognised tertiary institution, OR Two years relevant work experience, OR Graduate Certificate in a related area. Upon completing the Graduate Certificate, students will be eligible for admission to the Master of Information Technology and receive credit for applicable subjects.
Language requirements
Standard English Language Proficiency (ELP) requirements apply. Click here to view the specific international course entry requirements.
Recognition of Prior Learning
Your previous studies can be acknowledged as credit towards your postgraduate studies, provided that they meet the relevant course requirements.
If you receive an offer of enrolment and you’ve undertaken prior learning, you may be eligible to apply for Recognition of Prior Learning. The procedure is governed by the university Recognition of Prior Learning policy. Contact the university for more details.
Outcomes
Career outcomes
The Graduate Certificate in Applied Data Science is custom-made for professionals who want to move into specialist data analytics roles. The practical applications for data science are limitless - whether you're keen to develop algorithms for giants like Apple, guide retail marketing strategies for Woolworths or Coles, be the brains behind a smart city revolution or delve into sports analytics. With practical skills and the latest knowledge of this dynamic field, you can lead the charge as a data analyst, data scientist, prominent data architect, or enterprise data architect. Take your career wherever you want to go.
Learning outcomes
Upon completion of this course, graduates will be able to:
- Investigate and analyse the core requirements of big data analytics in the context of information technology.
- Apply suitable statistical and programming skills to solve real-world data analytic problems.
- Demonstrate through critique and application, a knowledge of current data analytics trends such as data mining, machine learning, scientific statistics and knowledge engineering.
Fees and FEE-HELP
Estimated full fee in 2026: $16,840 (domestic full-fee paying place).
A student’s annual fee may vary in accordance with:
- The number of units studied per term.
- The choice of major or specialisation.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
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.