Master of Data Science and Artificial Intelligence
Postgraduate
UON-DAI-MAS 2026Course information for 2026 intake
Harness data and AI to solve problems and transform industries
Become a leader in the AI revolution. You’ll delve into predictive modelling, big data, and intelligent systems. Specialisations include health data analysis and computational intelligence. Graduate with future-proof skills and enhanced career prospects.
- Study method
- 100% online
- Assessments
- 100% online
- Credit available
- Yes
- Duration
- 2 years full time or part time equivalent
- Total subjects
- 16
- Available loans
- Australian Higher Education Loan Program (HELP)
Master of Data Science and Artificial Intelligence
About this degree
Upon completion of this program, graduates will have:
- Specialised knowledge of artificial intelligence, statistical and computational models and concepts and proficiency in their application.
- Specialist knowledge in machine learning, 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, manage, process and analyse large structured or unstructured data sets.
- Effective independent and collaborative work skills to apply specialised knowledge and expert judgement to data science and artificial intelligence.
- Awareness of ethical issues that may occur in the context of using data science and AI technologies.
In today's data-driven world and with AI transforming industries, the Master of Data Science and Artificial Intelligence from the University of Newcastle puts you at the forefront of this dynamic field. Whether you want to enhance your current career or switch to a new path, this program prepares you for success.Â
Merge essential data science principles with advanced AI techniques to interpret complex data and develop intelligent systems. Delve into areas such as data processing, visualisation, and predictive modelling. Develop the skills needed to solve real-world problems and lead in an AI-driven future.Â
Choose from two specialisations to further develop skills in your chosen field:Â
- Computational IntelligenceÂ
- Health Data Analysis.
This program is designed for both experienced professionals and those new to the field. Learn from industry-leading experts and engage with coursework that reflects the latest industry advancements. You'll gain skills in high demand across a range of industries. These industries include healthcare, finance, technology, and government.Â
Award requirements
Students are required to complete a total of, but no more than, 160 units, comprised of the following:
- 70 units of Core course
- 10 unit Statistics Course List
- One 80 unit Specialisation.
Please note: Students must only complete courses that form part of the program.
Open Universities Australia is a not-for-profit organisation. You will not pay any fees for using our services.
Indicative first year fee
$32,420
Indicative total fee $64,840
The amounts shown here are indicative for an Australian citizen studying full-time, which is typically 8 subjects per year.
Fees may vary depending on:
- the subjects you choose
- credit from previous work experience
- your eligibility for government funding loans or subsidies such as HECS-HELP or a Commonwealth supported place.
To learn more, go to Fees or contact a student advisor.
The University of Newcastle is dedicated to outstanding education and research. Their degrees are shaped around global learning, work placements and entrepreneurial opportunities. The university is known as a champion of innovative approaches, striving for a dynamic teaching culture that delivers world-class outcomes. Welcoming students from diverse backgrounds, they focus on equity and developing the next generation of socially-oriented leaders.
Learn more about Newcastle University.
Explore Newcastle University courses.
- QS World University Ranking 2025, within Australia:
- 17
- Times Higher Education World University Ranking 2025, within Australia:
- 18
How to apply
University of Newcastle manages enquiries and applications for this degree.
Complete your details and we'll make sure your enquiry is sent to University of Newcastle who will contact you to discuss this degree.
Don't worry, we're still here to help you - you'll receive a personalised follow-up from an Open Universities Australia student advisor to make sure you have found the right degree for you.
Entry requirements
- Students with a three-year, Bachelor degree (AQF level 7) or higher in a different discipline area (also called non-cognate discipline) to data science and their chosen specialisation are eligible to undertake the 160 unit program.Â
- Students with a three-year Bachelor degree (AQF level 7) or higher in a non-cognate discipline who also hold a minimum of five years demonstrable Recognised Prior Learning (RPL) in an area related to data science and/or their chosen specialisation (also called cognate discipline) may be eligible to study between 120 and 160 units, inclusive.
- Students with a three-year Bachelor degree (AQF level 7) or Bachelor (Honours) (AQF 8) in a cognate discipline to data science and/or their specialisation may be eligible to study between 120 and 160 units, inclusive.
- Students with a Graduate Certificate or Graduate Diploma (AQF level 8) in a cognate discipline to data science and/or data analytics may be eligible to study 120 units, inclusive.
If you wish to apply for credit for studies completed at another institution, or if you are changing programs within the University and wish to transfer your credit to the new program, visit the University's credit website for more information on applying for credit.
Career opportunities
This program will provide you with the skills needed to thrive in the rapidly expanding fields of Data Science and AI, with broad job opportunities across various sectors.Â
Possible career opportunities include:Â
- Artificial intelligence expertÂ
- Machine learning and big data expertÂ
- Data engineerÂ
- Data managerÂ
- Biostatistician/bioinformaticianÂ
- Business analystÂ
- Business intelligence specialistÂ
- Data and AI expertÂ
- AI researcherÂ
- Software engineerÂ
- Laboratory technicianÂ
- Machine learning engineerÂ
- Pattern recognition specialistÂ
- GIS specialistÂ
- Data architectÂ
- Data analyst and scientistÂ
- Information security analystÂ
- Artificial Intelligence and machine learning specialistÂ
- Big data specialist.Â