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Course Overview
Where You Can Study
Sydney
Levels 23 & 24, 123 Pitt St, Sydney, NSW 2000
Eligibility
I'm a domestic student looking to start my course in 2027 Simple steps to entry at Macquarie See if you meet the academic requirements Check if you qualify for recognition of prior learning Do you meet some, but not all of the requirements? Depending on your prior qualifications, work experience or other recognised prior learning, you may qualify for entry to this degree at the admission point below. Each admission point requires the completion of some or all of the degree’s zones, which will affect the overall duration of the degree. Guide to admission points Table Description Complete this degree in: If you meet the below or hold a recognised equivalent*: Course structure: 2 years (full-time, or equivalent duration if available part-time) AQF level 7 bachelor's qualification in a related discipline or recognised equivalent Foundation Zone, Core Zone (160 credit points) View course structure 1 year (full-time, or equivalent duration if available part-time) AQF level 8 bachelor honours or graduate diploma qualification in Data Science or AQF level 7 bachelor in Data Science and a WAM of +65 Core zone (80 credit points) View course structure Related fields for prior qualifications Information Technology, Statistics, Mathematics, Engineering, Science, Accounting and Finance, Actuarial Studies, Data Science, Computing AQF levels *'Bachelor’s qualification' relates to an AQF level 7 bachelor's qualification or recognised equivalent. Relevant experience Data Science, data analytics, data engineering, statistics, business analytics Guide to University terminology Use our handy guide to better understand common study terms. View our guide Complete your degree sooner Full degree duration Admission point considerations Credit for prior learning eligibility You may qualify to complete your degree sooner! Recognition of prior learning With recognition of prior learning (RPL), you could get credit for your prior study and experience, reducing the duration of your studies. Credit is awarded for formal and informal or non-formal learning. You’ll need to apply for RPL once you receive your offer to study at Macquarie. Find out more Your prior learning may consist of: Formal learning Informal and non-formal learning English language requirements When applying to study at Macquarie University, you’re required to provide evidence of proficiency in English. You may satisfy the English language requirements by: passing an approved English language test at the required level holding a qualification from an approved country with English as the language of instruction Learn more about English language requirements for applications direct to Macquarie University Learn more about English language requirements for applications via Universities Admission Centre (UAC) The required standard of English for this degree is: The required standard of English IELTS band Minimum score required Overall 6.5 Reading 6 Writing 6 Listening 6 Speaking 6 Additional information and requirements Assumed knowledge None. Recommended studies None. Inherent requirements To be eligible to graduate from your course, you must satisfy the inherent requirements – essential activities, capacities and academic requisites – of that course. View inherent requirements Career outcomes Fees and scholarships
Career & Study Pathways
Quality & Recognition
Academic Regulator
TEQSA
Professional Body
Australian Computer Society (ACS)
Accreditation Status
AccreditedSkills Assessor
ACS
Common Questions
The Master of Data Science at Macquarie University has a duration of 104 weeks (approximately 2 years) for international students.
The estimated total course cost is AU$95,246, which includes a tuition fee of AU$94,500 and a non-tuition fee of AU$746.
The course is delivered at Macquarie University's Wallumattagal Campus at North Ryde, New South Wales 2109, a location owned and operated by the provider.
Eligibility for extended Post-Study Work Rights depends on several criteria, including the course being registered, being a Skills Level 1 qualification, having a duration of 92 weeks or greater, and the narrow Field of Education aligning with the Skills Level 1 priority list. This course has a duration of 104 weeks and is a Masters Degree (Coursework), so it may qualify — contact ESOS-PolicyTeam@education.gov.au for confirmation.
The Master of Data Science is classified under the broad field of Information Technology (02), with a narrow field of Other Information Technology (0299) and a detailed field of Information Technology, n.e.c. (029999).
Application
Three simple steps to get enrolled
Step 01
Enquire
Click "Enquire Now" and tell us a little about yourself. It's free and takes 2 minutes.
Step 02
Submit Documents
Our team will guide you on exactly which documents to prepare and submit.
Step 03
Get Enrolled
Receive your offer letter and confirm your enrolment. Welcome to the course!
Processing time: Offer letter issued within approximately 1 business days.
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Master of Nursing · Griffith University