Master of Data Science
PostgraduateGRF-DSC-MAS2026
Tools and insights for work with complex datasets
Lead change and drive efficiency by unlocking the power of data. You’ll deep dive into data analysis, machine learning, and data management. Explore AI. Work with big data. Get to know best practice for data handling and visualisation.
- 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)
- CSP available
- Yes
Master of Data Science
About this degree
Graduates of a Master of Data Science (Coursework) degree will possess a comprehensive and advanced body of knowledge in data science and its applications. They will have a deep understanding of the theoretical foundations and practical methodologies in data analysis, machine learning, and data management. Graduates will be proficient in using data science tools and techniques to extract insights from complex datasets, and they will adhere to professional standards and ethical practices in the field. This solid foundation will prepare them for independent lifelong learning and successful careers in data science.
Harness the power of data to drive innovation and impact. This masters degree equips you with advanced skills in analytics, machine learning and big data, giving you the expertise to transform complex datasets into actionable insights. Through a blend of theory, practical exercises and industry-focused projects, you'll gain the capabilities to solve complex problems across industries and sectors.
Highlights of studying the Master of Data Science
- Develop advanced skills in programming, data wrangling, statistical modelling and visualisation.
- Deepen your experience with tools like Python, SQL, Hadoop and Tableau.
- Explore emerging technologies, social media analytics, and AI applications, and apply machine learning, AI and big data analytics to real challenges.
- Complete industry-relevant projects or placements with real clients.
- Build professional networks and gain career-ready skills for leadership roles in data science.
- You may be eligible for credit for prior study and/or work experience to reduce your study time.
Career-focused experience
Your final year includes a work integrated learning experience, either through a single project with a real client or an industry placement. These opportunities connect you with professional networks, expose you to authentic business challenges and allow you to apply your skills in a practical setting.
Recommended study pattern
As a guide, core subjects in this degree can include:
- Introduction to Artificial Intelligence
- Programming Principles
- Data Wrangling and Visualisation
- Database Design
Plus there’s a selection of electives to choose from. As part of your application, you’ll be guided through how to get the right degree structure in place for you.
Award requirements
Pathway 1 - 1 year program (80CP)
For the award of Master of Data Science (MDataSc), if eligible to complete this program in 1 year, you must successfully complete 80 credit points made up of:
- 80 credit points for the Core Module
Pathway 2 - 1.5 year program (120CP):
For the award of Master of Data Science (MDataSc), if eligible to complete this program in 1.5 years, you must successfully complete 120 credit points made up of:
- 80 credit points for the Core Module AND
- 40 credit points for the Flexible Module
Pathway 3 - 2 year program (160CP):
For the award of Master of Data Science (MDataSc), if eligible to complete this program in 2 years, you must successfully complete 160 credit points made up of:
- 40 credit points for the Foundation Module AND
- 80 credit points for the Core Module AND
- 40 credit points for the Flexible Module
Open Universities Australia is a not-for-profit organisation. You will not pay any fees for using our services.
Indicative first year fee
$9,600
Indicative total fee $19,200
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.
With a network of campuses spanning three cities in South East Queensland, Griffith University is committed to progressive multidisciplinary teaching and research and a valuable online provider with Open Universities Australia.
Learn more about Griffith University
Explore Griffith University courses
- QS World University Ranking 2026, within Australia:
- 18
- Times Higher Education World University Ranking 2026, within Australia:
- 20
How to apply
Griffith University manages enquiries and applications for this degree.
Complete your details and we'll make sure your enquiry is sent to Griffith University 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
You can complete this program in 1 year, 1.5 years or 2 years depending on your prior study and work experience
To be eligible for this program you must meet one of the following criteria:
1 year duration (80CP):
- A recognised Bachelor degree (or higher) in a related discipline and five years relevant work experience.
1.5 year duration (120CP):
- A recognised Bachelor degree (or higher) in a related discipline.
2 year duration (160CP):
- A recognised Bachelor degree (or higher).
- Five years relevant work experience.
- A combination of alternative admission criteria such as formal, informal, and non-formal learning deemed to be equivalent to either of the above.
Related discipline includes data science, computer science, information technology, cyber security, information systems.
Relevant work experience includes data scientist, data engineer, data analyst, systems engineer.
English language requirements apply to International applicants and other applicants whose previous study was undertaken in a language other than English. The minimum English language requirements for such applicants for entry to this program are as follows:
- A minimum overall band score of 6.5 on IELTS (Academic) with no sub-score of less than 6.0
- OR a minimum score of 575 on TOEFLOR an internet-based (iBT) TOEFL score of 79 (no sub-score less than 19)
- OR no score less than 3+ in each skill of the ISLPR (conducted by ISLPR Language Services only)
- OR a minimum overall score of 176 (no score less than 169) on C1 Advanced (formerly Cambridge Certificate in Advanced English) or C2 Proficiency (formerly Cambridge Certificate of Proficiency in English)
- OR an overall score of 58 in the Pearson Test of English (Academic) with no score less than 50.
English test results must be no more than two years old.
International students who successfully complete the Direct Entry Program (DEP) will satisfy the English Language requirements for this Griffith degree.
The Direct Entry Program (DEP) is not available for Domestic students.
Reduce the time it takes to finish your degree. You can apply to Griffith to recognise your prior learning, including:
- Formal learning through courses completed at uni and TAFE.
- Informal learning through workplace experience or volunteer training.
- Non-formal learning through social experiences and hobbies.
Career opportunities
You'll be prepared to influence data-driven decision making, solve complex problems and drive innovation in roles like:
- data scientist
- machine learning engineer
- data engineer
- analytics consultant
- business intelligence analyst
- risk analyst
- research scientist
- big data engineer.
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