Master of Data Science

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.

In today's data-driven world, information is not just power - it's the key to innovation, efficiency, and competitive advantage. The Master of Data Science program equips you with the advanced skills and knowledge needed to harness the full potential of data, across sectors.

Our Master of Data Science program will deepen your understand of data analytics, machine learning and statistics to equip you to make meaningful conclusions from big data sources. Through a comprehensive blend of theory and hands-on practice, you'll gain the expertise to tackle complex data challenges and drive change.

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

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Indicative total fee $19,000

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. Already attracting students from over one hundred countries, Griffith's dedication to academic excellence is available across Australia through OUA.

Learn more about Griffith University.

Explore Griffith courses.

QS Ranking 2024:

18

Times Higher Education Ranking 2024:

20

To be eligible for admission to the Master of Data Science, you must have one of:   

Pathway 1 - 1 year program (80CP): 

• A recognised Bachelor degree (or higher) in a *related discipline with a minimum grade point average of 4.0 using a 7.0 scale; AND a minimum 5 years full-time (or equivalent) relevant ^professional experience.  

Pathway 2 - 1.5 year program (120CP):  

• A recognised Bachelor degree (or higher) in a *related discipline with a minimum grade point average of 4.0 using a 7.0 scale 

Pathway 3 - 2 year program (160CP):  

• A recognised Bachelor degree (or higher) in any discipline with a minimum grade point average of 4.0 using a 7.0 scale; OR   A combination of alternative admission criteria such as formal, informal, and non-formal learning deemed to be equivalent to the above.  

*Related Discipline: Data Science, Computer Science, Information Technology.

^Professional Experience: Data Scientist, Data Engineer, Data Analyst.

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.