University of New England
Graduate Diploma in Data Science
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 12 months
- Course Type: Graduate Diploma
The aim of the course is to enable students to build competencies in a range of areas critical to data science. The course will equip students with the knowledge and skills required to pursue a range of data science related career paths or articulate into further studies in the data science area.
Course overview
The Graduate Diploma in Data Science is designed for students with a bachelor's degree in an area other than data science, statistics or computing and who wish to obtain qualifications in data science.
UNE's Graduate Diploma of Data Science will expand your skills so you can solve complex and challenging problems, innovate and gain competitive advantages by building intelligent systems and bringing structure to large and diverse data sets.
CSP Subsidised Fees Available
This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.
Key facts
June, 2026
What you will study
To qualify for the award a candidate must pass units to the value of 48 credit points including a minimum of 24 credit points at 400-level or above. Unless otherwise indicated, each unit is worth six credit points.
Complete the following units:
- Introduction to Programming and the UNIX Environments
- Database Management Systems
- Introduction to Statistical Modelling
- Statistical Modelling and Experimental Design
Entry requirements
You can apply for this course if you have completed a Bachelor qualification (AQF Level 7 or overseas equivalent) in any discipline.
If you are admitted on this basis, you will be eligible for admission under standard entry.
Please note: all admissions are subject to UNE’s Admission, Credit and Enrolment Policy. Please read and familiarise yourself with the details of the policy. See our Glossary for help with university terms.
English Language Requirements
- When applying, you may be required to show how you satisfy the English Language Requirements for this course.
Inherent Requirements
- You must meet the Inherent Requirements in order to complete this course.
Recognition of Prior Learning
Advanced Standing is credit or recognition of your previous study, work and/or life experience. This can reduce the cost and length of your studies.
Outcomes
Learning outcomes
- Understand the key tools, methods and theories used in data science to an advanced level of depth and sophistication.
- Synthesise information from data and understand the lifecycle of data within an organisation.
- Apply problem solving skills and specialist knowledge in statistics and software development to implement data analysis solutions for real-world problems.
- Communicate effectively with expert and non-expert audiences to understand issues and gather requirements for the development of data analysis strategies and related systems within an organisation.
- Evaluate information from a range of sources, such as peer-reviewed literature and technical documentation, to understand current developments in the area of data science.
- Understand and communicate the ethical and legal issues that relate to the practice of data science.
Career outcomes
Data science is a rapidly growing area of employment with outstanding career opportunities for professionals with postgraduate qualifications. You could consider positions such as:
- Data scientist.
- Business Intelligence Analyst.
- Data Engineer or Architect.
- Data Strategist.
- Healthcare Data Manager.
- Research Scientist.
Fees and CSP
Estimated first-year and full fee in 2026: $8,113 (Commonwealth Supported Place)
Estimated first-year and full fee in 2026: $24,384 (domestic full-fee paying place)
Estimated amenities fee per year if studying full-time: $373
The costs will depend on the units you choose to study, as the cost of individual units varies. “Estimated fees” are provided as a guide only based on a typical enrolment of students undertaking a study load of 48 credit points in the first year of this course. For courses that require fewer than 48 credit points, the fees indicated are based on the total credit points needed for the completion of that course.
Student fees 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.
Commonwealth Supported Places
The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.
If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower.
Limited CSP spaces are offered to students enrolled in selected postgraduate courses.
Your student contribution amount is:
- Calculated per unit you're enrolled in.
- Dependent on the study areas they relate to.
- Reviewed and adjusted each year.
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.
HECS-HELP loans are available to CSP students to pay the student contribution amount.