Master of Data Science

by Griffith University Claim Listing

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 challen

$43000

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img Duration

2 Years

Course Details

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.

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.

Attendance information

  • If you are an International student on a student visa, you must ensure that you enrol in a way that will allow you to complete your enrolment within the expected program duration as stated on your Confirmation of Enrolment (CoE). The recommended study load for international student in each compulsory trimester is 40CP.

Changing programs

  • If an International student changes to a different program they will be subject to the approved program fee for the trimester in which they are enrolled.

Permanent resident status

  • If an undergraduate student obtains permanent resident status in Australia after commencing study in a program, and the student can provide evidence of permanent resident status prior to the census date (of the trimester in which they are enrolled), the student will be provided with a domestic fee-paying place.
  • The student may then apply for a Commonwealth supported place at the next admission period provided that the student satisfies the conditions for transfer from a domestic fee-paying place to a Commonwealth supported place as set out in the Fees and Charges Procedure.
  • If a postgraduate student obtains permanent resident status in Australia after commencing study in a program, and the student can provide evidence of permanent resident status prior to the census date (of the trimester in which they are enrolled), the student will automatically be considered for a Commonwealth supported place (subject to availability) or a domestic fee-paying place as applicable for the program.
  • If a research student obtains permanent resident status in Australia after commencing study in a program, and the student can provide evidence of permanent resident status prior to the census date (of the trimester in which they are enrolled), the student will automatically be considered for a Commonwealth Government Research Training Program (RTP) Fee Offset or a domestic fee-paying place as applicable for the program.

My career opportunities
Graduate of our Master of Data Science program are prepared to excel in a variety of roles, including:

  • Data Scientist
  • Machine Learning Engineer
  • Business Analyst
  • Data Engineer
  • Research Scientist
  • Analytics Consultant
  • Risk Analyst
  • Business Intelligence Analyst
  • Big Data Engineer

Course offering information in program structures is a guide only. Please check the actual offering information in the Course Catalogue.

Students must check the prerequisite and incompatible requirements before selecting any course within this program.

Program options
Students must complete one of the following pathways:

  • Learning Period Course Credit Points 
  • Tri 1,2 Pathway 1 (1 year - relevant Bachelor and work experience) 80
  • Tri 1,2  Pathway 2 (1.5 years - related Bachelor degree) 120
  • Tri 1,2 Pathway 3 (2 years - any Bachelor degree) 160

Pathways

  • Pathway 1 (1 year - related degree and work experience)
  • Pathway 2 (1.5 years - related degree)
  • Pathway 3 (2 years - any degree)

Electives
You can complete elective courses from the list below:

  • Elective courses may be available at multiple campuses and during a different trimester. Click on the course code to find out more information on where and when the course is offered.

Learning period Course Credit Points 

  • Tri 1 Industrial Applications of Blockchain - 7506ICT 10
  • Tri 1 Cyber Security of Critical Infrastructure - 7016ICT 10
  • Tri 1 Cryptographic Applications - 7007ICT 10
  • Tri 1 Fundamentals of Cyber Security - 7905ICT 10

Tri 1,3

Computer Systems and Cyber Security - 7611ICT 10

  • Tri 2 Digital Investigations - 7906ICT 10
  • Tri 2 Fundamentals of Blockchain and Distributed Ledger Technology - 7502ICT 10
  • Tri 2 Cyber Security Operations Centres - 7015ICT 10
  • Brisbane Branch

    170 Kessels Road, Brisbane
  • Gold Coast Branch

    Parklands Dr, Gold Coast
  • Sydney Branch

    68 University Dr, Sydney

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