Charles Darwin University
Graduate Certificate of Data Science
- Delivery: Online
- Study Level: Postgraduate
- Duration: 12 months
- Course Type: Graduate Certificate
Develop data science knowledge through postgraduate study, combining programming, machine learning, statistical analysis and project-based assessment to build practical data analysis skills.
Course overview
The Graduate Certificate of Data Science from Charles Darwin University is a postgraduate qualification designed to develop the technical and analytical skills required to manage, analyse and interpret data. Delivered part-time through online study, the course explores data science concepts and methods across programming, statistics and analytical approaches.
You will study four compulsory core units covering Programming for Data Science, Data Visualisation, Machine Learning and Statistics for Data Science. The curriculum develops skills in programming, statistical analysis, data visualisation and machine learning while building the ability to apply data science methods to practical data challenges. Coursework includes a project-based assessment that provides an opportunity to focus on an area of interest and apply data science knowledge in practice.
The course is designed to complement studies and experience across areas including computer science, information technology, information systems, statistics, mathematics, engineering or programs with substantial quantitative competencies.
Key facts
1st March, 2027
What you will study
To earn the Graduate Certificate of Data Science, you must successfully complete units totalling 40 credit points as detailed below. Unless otherwise noted, each course is worth 10 credit points.
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
Applicants for this course must meet all of the following:
- Successful completion of a recognised bachelor's 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 with at least five years of 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
The minimum English language requirement for this course can be met by evidence of one of the following:
- Successful completion of Year 12 within Australia or an equivalent qualification from an approved country where English is the official language.
- Successful completion of at least 0.5FTE of higher education study from Australia or an approved country where English is the official language (refer to our approved standard and extended lists included below). If studies were completed from a country on the extended list, they must have been completed within the past five (5) years.
- Successful completion of a Charles Darwin University enabling program of at least 0.5 FTE (40 credit points).
- Successfully completing a recognised TAFE qualification at a Certificate III level or higher from Australia.
- Current AHPRA registration as a Division 1 or Division 2 nurse. Registration must be current at the time of course commencement.
- Completion of an approved English test within two years of commencement, meeting the minimum scores.
Contact the university or visit their website for more information.
Recognition of Prior Learning
You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help reduce the number of units you need to study to finish your course. 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 and data engineer.
Fees and FEE-HELP
Estimated full fee in 2026: $14,788 (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.