Key facts
Domestic students course information.
Entry is based on a bachelor, graduate certificate or diploma, or bachelor with honours qualification, or overseas equivalent.
Entry is based on a bachelor, graduate certificate or diploma, or bachelor with honours qualification, or overseas equivalent. English language requirements must also be met.
- 1 or 1.5 or 2 years full-time
- Up to 6 years part-time
- 096381K
Start Dates and Campus | Trimester 1 – February 2025 | Trimester 2 – June 2025 | Trimester 3 – October 2025 |
---|---|---|---|
Online | Offered | Offered | Offered |
Armidale Campus | Offered | Offered | Not Offered |
Sydney Campus | Not Offered | Not Offered | Not Offered |
Online | Offered | Offered | Offered |
Armidale Campus | Offered | Offered | Not Offered |
Sydney Campus | Not Offered | Not Offered | Not Offered |
Course information
Download course brochureUNE's Master of Data Science will expand your expertise, allowing you to confidently solve complex challenges in science, health, business and beyond. Through a combination of engaging coursework subjects and a comprehensive capstone project experience, you will hone your skills allowing you to adapt to change, innovate, and play a leading role in the future development of data science solutions globally.
Why study the Master of Data Science with UNE?
Data is a vital asset prized by virtually every organisation worldwide, which is why skilled data scientists are in high and rising demand. Data science is one of the fastest growing – and best paid – professions. Deloitte Access Economics research indicates a data scientist with a postgraduate degree in Australia can expect toearn over $130,000 a year.
Streams of data have grown so much in volume and complexity that only specialists can extract the greatest value from them in the modern workplace. Data scientists who can build intelligent systems, master intuitive processes and bring structure to vast quantities of data provide the foundations for evidence-based decision making – unlocking the potential for improvement and competitive advantage.
Choose our Master of Data Science if you are looking to change career direction or if you want to enhance your data science skills. If you're seeking a career change, you can enter the course with no relevant background in data science and graduate ready for employment in a broad range of positions in private industry, government agencies or research organisations.
If you have a relevant background, you can update your qualifications with several entry options available that recognise your previous study and allow you to reduce your study time.
With a strong backbone of statistics and computer science, the Master of Data Science at UNE will take you beyond simply applying technology to data analysis. You will gain in-depth knowledge and experience of the inner workings of databases, machine learning and artificial intelligence, so you can more effectively extract meaning and insights from large and diverse data sets.
By choosing UNE, you will be studying with an industry leader in the provision of online lifelong learning. Year after year, students award UNE the maximum 5-star ratings in The Good Universities Guide for Overall Experience and Student Support.
What makes our course different?
Building on your existing experience, you will upskill for positions that have a rigorous quantitative aspect. Our course will help you hone your software and database development skills, and gain expertise in programming languages such as R, Python and Matlab.
Our flexible course gives you opportunities to:
- Tailor your studies to match your career goals by selecting from a range of relevant units.
- Put your knowledge of data science, statistics and software development into practice in a research-based project for industry.
- Sharpen your understanding of the ethical and legal responsibilities of the practice of data science in a professional environment.
- Hone your communication skills to more effectively gather requirements for data analysis strategies and present complex scientific concepts to collaborators and expert audiences.
- Choose between studying on campus or online, allowing your to balance your studies with your other commitments.
- Exit with the Graduate Diploma in Data Science or Graduate Certificate in Data Science if you choose not to complete the full master course at a stage where you fulfil the requirements of either graduate course.
UNE's Master of Data Science has been granted Professional Level accreditation by the Australian Computer Society and, through the Seoul Accord, is recognised in other countries.
Study online
Most of our students choose to study online across three study periods with 24/7 tutor support* and fit study around work and family commitments. Uniquely, our online students are mostly over 30 and bring valuable experience with them. They form a community of adults juggling the same challenges and priorities and who bring their life and work experience together at UNE in order to become future-fit and better respond to a rapidly changing world.
Study on campus
Many of our students choose to take advantage of the on-campus lifestyle in Armidale, in the beautiful New England region, with access to unparalleled support, accommodation and sporting facilities. These students are often starting their first degree and have left school recently. Through access to academic and career support they get a fantastic start to their careers.
* 24/7 tutor support includes: essay feedback (within 24 hours); live chat 24/7 for generic feedback on academic writing; and subject-specific help at a foundation or first-year level for subjects including mathematics, chemistry, biology, physics, business, accounting, microeconomics, macroeconomics and statistics. There are also a wide range of workshops, resources and courses available in academic skills support to assist you and help you to succeed.
Entry requirements
Select the option that best describes you.
If you are an international applicant who wants to study on campus in Australia:
You will need to meet both the Academic and English Language Requirements to gain admission into this course. Meeting academic requirements means we review what you have already studied to see if you have the results needed for admission to your preferred course.
This course is offered under four admission rules, each with its own Course Structure (Program of Study).
Rule A: 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 Rule A. Please see the Rule A Course Structure (Program of Study).
Rule B: You have completed a Bachelor qualification (AQF Level 7) in a relevant discipline.*
If you are admitted on this basis, you will be eligible for admission under Rule B. Please see the Rule B Course Structure (Program of Study).
Rule C: You have completed a Graduate Certificate, Graduate Diploma or Bachelor with Honours (AQF Level 8 or overseas equivalent) in a relevant discipline.*
If you are admitted on this basis, you will be eligible for admission under Rule C. Please see the Rule C Course Structure (Program of Study).
Rule D: You have completed a Bachelor qualification from an overseas institution in a relevant discipline.*
If you are admitted on this basis, you will be eligible for admission under Rule D. Please see the Rule D Course Structure (Program of Study).
* Relevant disciplines include, but are not limited to, the following:
- Computer Science
- Data Science
- Information Systems
- Information Technology
- Mathematics
- Software Engineering
- Statistics
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.
When applying you may be required to show how you satisfy the English Language Requirements for this course.
International applicants, please note: You may also need to show evidence of your English language proficiency to the Department of Home Affairs if you are applying for a Student Visa.
These requirements are in addition to the entry requirements above.
You must meet the Inherent Requirements in order to complete this course.
On-Campus study
If you would like to study full-time in Australia at one of UNE's campuses, you will need to have a visa that allows you to study. For most international students this visa will need to be a Student Visa. The Australian Department of Home Affairs has further information about visa eligibility and conditions.
If you are an international applicant who wants to study online (overseas or in Australia):
You will need to meet both the Academic and English Language Requirements to gain admission into this course. Meeting academic requirements means we review what you have already studied to see if you have the results needed for admission to your preferred course.
This course is offered under four admission rules, each with its own Course Structure (Program of Study).
Rule A: 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 Rule A. Please see the Rule A Course Structure (Program of Study).
Rule B: You have completed a Bachelor qualification (AQF Level 7) in a relevant discipline.*
If you are admitted on this basis, you will be eligible for admission under Rule B. Please see the Rule B Course Structure (Program of Study).
Rule C: You have completed a Graduate Certificate, Graduate Diploma or Bachelor with Honours (AQF Level 8 or overseas equivalent) in a relevant discipline.*
If you are admitted on this basis, you will be eligible for admission under Rule C. Please see the Rule C Course Structure (Program of Study).
Rule D: You have completed a Bachelor qualification from an overseas institution in a relevant discipline.*
If you are admitted on this basis, you will be eligible for admission under Rule D. Please see the Rule D Course Structure (Program of Study).
* Relevant disciplines include, but are not limited to, the following:
- Computer Science
- Data Science
- Information Systems
- Information Technology
- Mathematics
- Software Engineering
- Statistics
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.
When applying you may be required to show how you satisfy the English Language Requirements for this course.
International applicants, please note: You may also need to show evidence of your English language proficiency to the Department of Home Affairs if you are applying for a Student Visa.
These requirements are in addition to the entry requirements above.
You must meet the Inherent Requirements in order to complete this course.
Online study in your own country
If you would like to study online with UNE while you reside outside of Australia you do not need a Student Visa. If your course requires you to visit Australia to attend any mandatory study requirements, you would need to explore Visitor Visa options for a short-term stay.
Online study in Australia
If you would like to study online with UNE while you are residing in Australia, you will need to hold a visa (other than a Student Visa) that allows you to study. If you are unsure if your visa allows you to study, you can check with UNE's International Admissions team. If you hold a Student Visa you cannot study completely online; you must be enrolled as an on-campus student (although you can study a limited number of online units).
Some courses require you to provide documentary evidence, or interviews to support your application. The following documents are required to support your application:
- A certified academic transcript of your completed qualification.
- Proof of identity and citizenship. This can be a certified/notarised copy of the photo page of your passport, or another form of official photo identification that lists your full personal details including name and date of birth; for example, a foreign government identity card.
- Evidence of English Language Requirements satisfied. If you have completed a UNE-approved formal English test within the last two years, you must provide a copy of the test results with your application. Please see UNE’s English Language Requirements above for further information.
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.
Course Entry Advanced Standing
Some entry rules come with Advanced Standing or Articulation Programs that are assessed automatically without the need for you to fill in an additional application. Simply apply for your course and we’ll look after the rest.
- If you are admitted under Rule B, you will be granted 24 credit points of Block Advanced Standing.
- If you are admitted under Rule C, you will be granted 48 credit points of Block Advanced Standing. You cannot apply for further Advanced Standing.
Individual Unit Advanced Standing
If you are admitted into this course and believe you have already completed the equivalent of one or more of the units in your Course Structure (Program of Study) within the last ten years, you can apply for Individual Unit Advanced Standing.
- If you are admitted under Rules A or D, you can apply for up to 48 credit points of Advanced Standing. This may include up to 6 credit points of Advanced Standing based on relevant professional experience.
- If you are admitted under Rule B, you can apply for up a further 24 credit points of Advanced Standing. This may include up to 6 credit points of Advanced Standing based on relevant professional experience.
Please note: Advanced Standing cannot be granted for the following units:
- COSC591 Information Technology Project
- SCI501 Special Topics in Science A
This course is offered under three admission rules, each with its own Course Structure (Program of Study).
Rule A: 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 Rule A. Please see the Rule A Course Structure (Program of Study).
Rule B: You have completed a Bachelor qualification (AQF Level 7) in a relevant discipline.*
If you are admitted on this basis, you will be eligible for admission under Rule B. Please see the Rule B Course Structure (Program of Study).
Rule C: You have completed a Graduate Certificate, Graduate Diploma or Bachelor with Honours (AQF Level 8 or overseas equivalent) in a relevant discipline.*
If you are admitted on this basis, you will be eligible for admission under Rule C. Please see the Rule C Course Structure (Program of Study).
* Relevant disciplines include, but are not limited to, the following:
- Computer Science
- Data Science
- Information Systems
- Information Technology
- Mathematics
- Software Engineering
- Statistics
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.
These requirements are in addition to the entry requirements above.
When applying you may be required to show how you satisfy the English Language Requirements for this course.
You must meet the Inherent Requirements in order to complete this course.
Some courses require you to provide documentary evidence, or interviews to support your application. The following documents are required to support your application:
A certified academic transcript of your completed qualification.
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.
Course Entry Advanced Standing
Some entry rules come with Advanced Standing or Articulation Programs that are assessed automatically without the need for you to fill in an additional application. Simply apply for your course and we’ll look after the rest.
- If you are admitted under Rule B, you will be granted 24 credit points of Block Advanced Standing.
- If you are admitted under Rule C, you will be granted 48 credit points of Block Advanced Standing. You cannot apply for further Advanced Standing.
Individual Unit Advanced Standing
If you are admitted into this course and believe you have already completed the equivalent of one or more of the units in your Course Structure (Program of Study) within the last ten years, you can apply for Individual Unit Advanced Standing.
- If you are admitted under Rules A or D, you can apply for up to 48 credit points of Advanced Standing. This may include up to 6 credit points of Advanced Standing based on relevant professional experience.
- If you are admitted under Rule B, you can apply for up a further 24 credit points of Advanced Standing. This may include up to 6 credit points of Advanced Standing based on relevant professional experience.
Please note: Advanced Standing cannot be granted for the following units:
- COSC591 Information Technology Project
- SCI501 Special Topics in Science A
Course structure
1. To qualify for the award a candidate admitted under Rule (a) or Rule (d) must pass units to the value of 96 credit points including not more than 24 credit points at 100-level, not more than 12 credit points at 200/300-level and at least 36 credit points at 500-level.
2. To qualify for the award a candidate admitted under Rule (b) or Rule (c) must pass units to the value of 96 credit points including at least 36 credit points at 500-level.
96 credit points
For candidates admitted under Rule (a) or Rule (d)66 credit points
Complete the following units:
Note: When a unit with the same title is offered at multiple levels you can only complete ONE unit (eg. STAT210 or STAT410).
Note: Students are encouraged (but not required) to complete STAT410 before undertaking STAT430.
- Mathematics for Machine Learning and Artificial Intelligence (AMTH405) – 6 credit points
- Introduction to Programming and the UNIX Environment (COSC110) – 6 credit points
- Fundamentals of Cybersecurity and Privacy (COSC130) – 6 credit points
- Database Management Systems (COSC210) – 6 credit points
- Software Project Management (COSC510) – 6 credit points
- Artificial Intelligence (COSC550) – 6 credit points
- Management Information Systems (COSC572) – 6 credit points
- Algorithms in Machine Learning (COSC580) – 6 credit points
- Statistical Modelling and Experimental Design (STAT210) – 6 credit points
- Statistical Modelling and Experimental Design (STAT410) – 6 credit points
- Statistical Learning (STAT430) – 6 credit points
6 credit points
Complete one of the following units:- Introduction to Statistical Modelling (STAT100) – 6 credit points
- Data Science Studio 1 (COSC102) – 6 credit points
30 credit points
Complete the following units:- Information Technology Project (COSC591) – 6 credit points
- Computing Science/IT Thesis (COSC593) – 24 credit points
12 credit points
Complete the following units and complete 18 credit points from the Listed Units:- Information Technology Project (COSC591) – 6 credit points
- Special Topics in Science A (SCI501) – 6 credit points
- Computational Mathematics (AMTH250) – 6 credit points
- Data Structures and Algorithms (COSC230) – 6 credit points
- Operating Systems (COSC240) – 6 credit points
- Programming Paradigms (COSC250) – 6 credit points
- Web Programming (COSC260) – 6 credit points
- Parallel and Distributed Computing (COSC530) – 6 credit points
- Computer Networks and Network Security (COSC540) – 6 credit points
- Deep Learning (COSC551) – 6 credit points
- Reinforcement Learning (COSC552) – 6 credit points
- Advanced Web Programming (COSC560) – 6 credit points
- User Experience and Interaction Design (COSC570) – 6 credit points
- Information Privacy (COSC581) – 6 credit points
- Introductory Econometrics (ECON371) – 6 credit points
- Econometric Analysis of Financial Markets (ECON474) – 6 credit points
- Genomic Analysis and Bioinformatics (GENE552) – 6 credit points
- Information and Knowledge Management in Healthcare (HSHM543) – 6 credit points
- Precision Agriculture (PA435) – 6 credit points
- Advanced Statistical Modelling (STAT420) – 6 credit points
- Introduction to Scientific Programming (SCI410) – 6 credit points
- Statistical Learning (STAT430) – 6 credit points
- Frequentist and Bayesian Statistical Inference (STAT470) – 6 credit points
96 credit points
For candidates admitted under Rule (b)24 credit points
24 credit points block Advanced Standing granted for those candidates who hold an AQF Level 7 Bachelor degree in a relevant discipline.36 credit points
Complete the following units:- Software Project Management (COSC510) – 6 credit points
- Artificial Intelligence (COSC550) – 6 credit points
- Management Information Systems (COSC572) – 6 credit points
- Algorithms in Machine Learning (COSC580) – 6 credit points
- Statistical Modelling and Experimental Design (STAT410) – 6 credit points
- Statistical Learning (STAT430) – 6 credit points
- Computing Science/IT Thesis (COSC593) – 24 credit points
- Information Technology Project (COSC591) – 6 credit points
- Special Topics in Science A (SCI501) – 6 credit points
- Mathematics for Machine Learning and Artificial Intelligence (AMTH405) – 6 credit points
- Parallel and Distributed Computing (COSC530) – 6 credit points
- Computer Networks and Network Security (COSC540) – 6 credit points
- Deep Learning (COSC551) – 6 credit points
- Reinforcement Learning (COSC552) – 6 credit points
- Advanced Web Programming (COSC560) – 6 credit points
- User Experience and Interaction Design (COSC570) – 6 credit points
- Information Privacy (COSC581) – 6 credit points
- Introductory Econometrics (ECON371) – 6 credit points
- Econometric Analysis of Financial Markets (ECON474) – 6 credit points
- Genomic Analysis and Bioinformatics (GENE552) – 6 credit points
- Information and Knowledge Management in Healthcare (HSHM543) – 6 credit points
- Precision Agriculture (PA435) – 6 credit points
- Introduction to Scientific Programming (SCI410) – 6 credit points
- Advanced Statistical Modelling (STAT420) – 6 credit points
- Frequentist and Bayesian Statistical Inference (STAT470) – 6 credit points
96 credit points
For candidates admitted under Rule (c)48 credit points
48 credit points block advanced standing granted for those candidates who hold an AQF Level 8 Graduate Certificate or Graduate Diploma or Bachelor with Honours in a relevant discipline.
Candidates who have already completed one or more of COSC510, COSC550, COSC580 and STAT430 are required to undertake alternate units from the Listed Units. Completed COSC/STAT-coded units are to be replaced with corresponding COSC/STAT-coded Listed Units.
24 credit points
Complete the following units:- Software Project Management (COSC510) – 6 credit points
- Artificial Intelligence (COSC550) – 6 credit points
- Algorithms in Machine Learning (COSC580) – 6 credit points
- Statistical Learning (STAT430) – 6 credit points
- Computing Science/IT Thesis (COSC593) – 24 credit points
- Information Technology Project (COSC591) – 6 credit points
- Special Topics in Science A (SCI501) – 6 credit points
12 credit points
Complete 0 or 12 credit points with at least 6 credit points at 500-level from the following units:- Mathematics for Machine Learning and Artificial Intelligence (AMTH405) – 6 credit points
- Parallel and Distributed Computing (COSC530) – 6 credit points
- Computer Networks and Network Security (COSC540) – 6 credit points
- Deep Learning (COSC551) – 6 credit points
- Reinforcement Learning (COSC552) – 6 credit points
- Advanced Web Programming (COSC560) – 6 credit points
- User Experience and Interaction Design (COSC570) – 6 credit points
- Information Privacy (COSC581) – 6 credit points
- Introductory Econometrics (ECON371) – 6 credit points
- Econometric Analysis of Financial Markets (ECON474) – 6 credit points
- Genomic Analysis and Bioinformatics (GENE552) – 6 credit points
- Information and Knowledge Management in Healthcare (HSHM543) – 6 credit points
- Precision Agriculture (PA435) – 6 credit points
- Introduction to Scientific Programming (SCI410) – 6 credit points
- Advanced Statistical Modelling (STAT420) – 6 credit points
- Frequentist and Bayesian Statistical Inference (STAT470) – 6 credit points
See UNE Handbook for more details. The Handbook contains detailed course information designed for enrolled students, including course plans, exit awards, intensive schools, and work placement requirements.
Fees and scholarships
How much will it cost?
Estimated fees for your first year of study in this course are:
Fee type | Cost |
---|---|
Full Fee | $23,848* |
International | $34,800* |
Commonwealth Supported Place (quotas apply) | $7,986* |
Estimated amenities fee per year if studying full-time | $365 |
*Annual course fees only cover the cost of tuition. They do not include other expenses associated with university study such as text books, accommodation and living expenses. If you are successful in gaining admission to study at UNE, the Offer of Admission will list the exact tuition fees you need to pay for your course. Fees quoted cover full-time tuition for two full-time trimesters only. For more information, please see fees and costs.
What are the course fee payment options?
Full Fee places are mostly in postgraduate coursework degrees. In a full fee place you pay the tuition fee set for your course, however you may be eligible for a FEE-HELP Loan to defer payment of your fees until you are earning above the threshold.
If you are enrolled in a Full Fee place and there is a direct connection between your work and your study, you may be able to claim your tuition fees as a tax deduction.
A Commonwealth Supported Place (CSP) is a government subsidised place in a university course. The government pays part of your tuition fees, and you pay the remainder.
If you have a CSP in either an undergraduate or postgraduate (coursework) degree, you may be eligible for a HECS-HELP Loan, which allows you to defer payment of your fees until you are earning above the threshold.
UNE scholarships are open for all to apply and offer financial help while you are studying. There are scholarships for students with high academic achievement, from rural areas, studying specific degrees, in disadvantaged groups, experiencing financial hardship, who excel at sport or want to live in a UNE residential college.
UNE scholarship applications are free and confidential. You may apply for more than one scholarship.
Scholarships
UNE offers bursaries and scholarships that can help you with the costs of studying and living in Australia.
The UNE International Bursary reduces the published annual tuition fees for international students by up to 20%. These bursaries are available for international students commencing coursework studies at UNE in 2024. View detailed Bursary information.
UNE also offers a number of substantial research scholarships to postgraduate students studying research-based degrees.
Your career
Data science is a rapidly growing field with outstanding employment prospects for appropriately qualified professionals. You will be equipped with the skills and knowledge needed to advance your career in positions such as:
- data scientist
- business intelligence analyst
- data engineer or architect
- data strategist
- healthcare data manager
- bioinformatics analyst.
UNE’s Master of Data Science has been granted Professional Level accreditation by the Australian Computer Society and, through the Seoul Accord, is recognised in other countries.
Course outcomes
- understand the key tools, methods and theories used in data science to a level of depth and sophistication consistent with advanced professional practice;
- synthesise information from data and analyse the lifecycle of data within an organisation;
- apply problem solving skills and advanced knowledge 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;
- integrate theories and methods related to data science, statistics and software development by planning and executing a research-grounded industry project;
- evaluate information from a range of sources, such as peer-reviewed literature and technical documentation, to assess current developments in the area of data science; and
- demonstrate a sophisticated awareness of the ethical and legal issues that relate to the practice of data science.
- Knowledge of a Discipline
Graduates will understand scientific practice and have sophisticated knowledge of the methods, theories and technologies in data science.
- Communication Skills
Graduates will be able to effectively communicate complex ideas and issues to a variety of audiences in order to implement data analysis solutions and present scientific outcomes. Communication skills are developed through a combination of class participation, independent learning and the completion of a capstone project.
- Problem Solving
Graduates will be able to apply specialist knowledge in areas of data science, statistics and software development to solve challenging problems. Problem solving is embedded throughout the course and rigorously assessed through coursework and open-ended projects.
- Information Literacy
Graduates will be able to evaluate information from a range of sources, including peer-reviewed literature and technical documentation, to develop their insight within the data science discipline. This key attribute is developed through class participation, individual assessment and the execution of project work.
- Ethical Conduct and Social Responsibility
Graduates will have a deep understanding of the ethical responsibilities related to the practice of data science. They will be able to assess the impact of their actions on the community and behave in a socially responsible manner in a professional environment. This awareness is developed incrementally within the course to give graduates an appreciation of the ethical and social issues that surround the different aspects of data science.
- Lifelong Learning
Data Science is a very rapidly expanding field of study. Graduates have the fundamental skills which enable them to supplement their knowledge and adapt to the changes in methodology and technologies. This is taught and practised by providing core skills and exposing students to a variety of technologies, environments and specialised systems.
- Independence and Collaboration
Graduates will have the ability to operate individually with a high level of autonomy and effectively as part of a team. These skills are developed through research-based projects, individual assessment and class participation.
A five-star experience
Five Stars,
18 Years in a Row
UNE is the only public uni in Australia awarded 18 straight years of five stars for Overall Experience
Good Universities Guide 2007-2024No.1 in NSW for
Student Experience
QILT (government-endorsed) ranks UNE as the top public NSW uni for Student Experience
QILT Student Experience SurveyFive Stars for
Teaching Quality
UNE rates among the top 20 per cent of universities in Australia for Teaching Quality
Good Universities Guide 2024Studying online
At UNE we know it takes more than just being online to be a great online university. It takes time and experience. We pioneered distance education for working adults back in the 1950s, so we’ve been doing this longer than any other Australian university.
We understand the challenges faced by busy adults studying at home. We know that a vital part of online study is your engagement with the learning community. Communication with your classmates, teaching staff and university support staff will enhance your study experience and ensure that your skills extend beyond the subject matter. UNE’s teaching staff are experts in their field which is why UNE consistently receives five stars from students for teaching quality, support and overall experience.*
*The Good Universities Guide
A five-star experience
Five Stars,
18 Years in a Row
UNE is the only public uni in Australia awarded 18 straight years of five stars for Overall Experience
Good Universities Guide 2007-2024No.1 in NSW for
Student Experience
QILT (government-endorsed) ranks UNE as the top public NSW uni for Student Experience
QILT Student Experience SurveyFive Stars for
Teaching Quality
UNE rates among the top 20 per cent of universities in Australia for Teaching Quality
Good Universities Guide 2024Studying online
At UNE we know it takes more than just being online to be a great online university. It takes time and experience. We pioneered distance education for working adults back in the 1950s, so we’ve been doing this longer than any other Australian University.
As an international student you can take advantage of flexible online study from overseas or while you are studying in Australia on a visa other than a student visa. You can’t study fully online on a Student Visa.
To study online from overseas you need to consider that you may need to travel to Australia to attend a UNE campus for some mandatory intensive schools.
Studying on Campus
Whether you are an undergraduate student coming to study in Australia for the first time, a PhD student coming to live here with your family, or you only need short-stay accommodation whilst in Armidale for Intensive Schools, we have the perfect accommodation option for you.
Stay connected
Register your interest and we'll keep you updated
Why study with us?
I always enjoyed studying statistics units at UNE, and there are some very good statistics lecturers who inspired me greatly.
Why study with us?
Studying at UNE was an amazing experience for me not only because of education but also because of the multicultural environment, the academic staff and resources and the international services.
How to apply
Preparing to apply
You should always provide the details of past or current studies in your application. You may also need to include documents to support your application.
The kind of documents you need will depend on:
- Your preferred course/s
- Your personal circumstances
Preparing to apply
You should always provide the details of past or current studies in your application. You may also need to include documents to support your application.
The kind of documents you need will depend on:
- Your preferred course/s
- Your personal circumstances
Important Dates
Different application methods and courses can have different closing dates. To find your correct application method click the Apply Now button below. Please check the appropriate application website for opening and closing dates.
If you are applying online direct to UNE please see below for application dates.
Intake | Application Closing Date | Trimester Start Date |
---|---|---|
Trimester 1 | 14 February 2025 | 24 February 2025 |
Trimester 2 | 13 June 2025 | 23 June 2025 |
Trimester 3 | 10 October 2025 | 20 October 2025 |