University of Newcastle
Graduate Certificate in Data Science
- Delivery: Online
- Study Level: Postgraduate
- Duration: 1-3 Years
- Course Type: Graduate Certificate
Strengthen your data science expertise through flexible online study, developing the skills to model complex problems and transform data into meaningful insights.
Course overview
The University of Newcastle's Graduate Certificate in Data Science prepares professionals to develop specialised skills in extracting, modelling and interpreting data to solve complex real-world problems. Designed for those seeking to strengthen their expertise in data science, the program explores how computational and analytical techniques can be applied to transform large and complex data sets into meaningful information that supports informed decision-making.
Throughout the course, students examine core data science concepts while developing practical skills in data wrangling, modelling, analysis and visualisation. The curriculum combines technical knowledge with practical application, equipping graduates to work confidently with complex data, generate meaningful insights and communicate evidence that supports decision-making across a range of industries.
Delivered fully online, the program offers flexible study for working professionals looking to expand their data science capability. The Graduate Certificate also provides a pathway to further postgraduate study in data science and related disciplines.
Key facts
What you will study
The program requires the sucessful completion of 40 units of core courses.
Core courses
- Big Data
- Data Wrangling and Visualisation
- Predictive Analytics
- The Science of Data Interrogation
Entry requirements
Admission criteria text
Admission to the program will be available for applicants who have:
- An AQF level seven bachelor's degree or higher tertiary qualification; OR
- An AQF Level six advanced diploma or associate degree in a cognate area, plus a minimum of one year relevant experience; OR
- An AQF Level five diploma in a cognate area plus a minimum of two years relevant experience; OR
- At least five years of relevant professional experience.
To be considered for admission based wholly or partly on professional experience, applicants must be able to demonstrate that their professional experience involves accessing/analysing/interpreting data.
English language requirements
- Overall minimum: 6.5
- Sub test minimum: 6
Contact the university for further information.
Recognition of Prior Learning
If you have previously studied or have relevant work experience, you may be eligible for recognition of prior learning. If your application is successful, you can reduce the number of courses you need to study, saving you time and money. Contact the university for more information.
Outcomes
Learning outcomes
- Specialised knowledge of statistical and computational models and concepts and proficiency in their application.
- Specialist knowledge in statistical and computational techniques for analysing and interpreting data sets.
- Critical thinking and analytical problem-solving to support data management and data-oriented decisions.
- Specialised knowledge and skills required to use contemporary Big Data technologies to store, manipulate and analyse large unstructured data sets.
- Effective independent and collaborative work skills to apply specialised knowledge and expert judgement to data science.
Career outcomes
Graduates may qualify for the following roles within the industry:
- Data Scientist
- Data Analyst
- Data and Insights Expert
- Researcher
- Big Data Specialist
- Information Security Analyst
Fees and FEE-HELP
Indicative annual fee in 2026: $12,980 (domestic full-fee paying place)
All costs are calculated using current rates and are based on a full-time study load of 40 units (normally four courses) per semester or year.
A student’s annual fee may vary depending on:
- 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 program.