Charles Darwin University
Graduate Certificate of Data Science
- Delivery: Online
- Study Level: Postgraduate
- Duration: 12 months
- Course Type: Graduate Certificate
This online course will develop your technical and analytical skills needed to manage and interpret useful insights from massive data sets.

Course overview
This qualification complements the following multi-disciplinary areas such as computer science, information technology, information systems, statistics, mathematics, engineering or a program with substantial quantitative competencies.
Your coursework will also include a project-based assessment allowing you to focus on what you are passionate about.
Key facts
20th July, 2026
What you will study
The course consists of core units and a specialist elective unit. The core units of the course will allow you to explore a range of data science concepts.
Core units
- Advanced Data Management
- Data Analytics and Visualisation
- Business Intelligence and Data Mining
Specialist Elective
Specialist Elective unit totalling 10 credit points selected from the following units.
- Business Analytics
- Real-World Statistics and Data Reasoning
- Business Statistics
- Biostatistics
Entry requirements
Admission criteria
Successful completion of a recognised bachelor degree or equivalent international qualification with a major in computer science, information technology, information systems, statistics, mathematics, engineering, or a program with substantial quantitative competencies.
Consideration will also be given to applicants who have at least five years appropriate professional experience. Applicants must provide further documentation detailing their employment experience in the form of a curriculum vitae (CV) with their application.
English language requirements
To gain entry into Charles Darwin University, all Higher Education applicants must satisfy the University's English Language Proficiency requirements for their chosen course of study. From 2025 ALL applicants will be required to supply evidence of this at the time of application. For further details on the English requirements for CDU courses, please refer to CDU English Language Proficiency Policy.
Recognition of Prior Learning
Higher Education Students Higher Education students can apply for Advanced Standing (Credit Transfer or Recognition of Prior Learning - RPL). Contact the university for more information.
Outcomes
Career outcomes
Graduating from this course may lead to careers as a:
- Business analyst
- Data scientist
- Data analyst
- Data engineer
Fees and FEE-HELP
Estimated full fee in 2025: From $14,444 (domestic full-fee paying place)
Estimated fees are determined by individual units of study and the year the course was commenced.
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.