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104 weeks
On campus (Parkville)
Full time / Part time
March
Course Overview
Where You Can Study
Melbourne
234 St. Kilda Road, Southbank, VIC 3006
Student Information
Tuition Fee
Commonwealth Supported Places (CSPs) available
Duration
2 years full time / 4 years part time (150-point accelerated program available)
Intakes
March
Entry Requirements
Eligibility
Career & Study Pathways
Quality & Recognition
Academic Regulator
TEQSA
Professional Body
Australian Computer Society (ACS)
Accreditation Status
AccreditedSkills Assessor
ACS
Course Content
Methods of Mathematical Statistics
25 points, foundation subject (statistics).
A First Course In Statistical Learning
25 points, foundation subject (statistics).
Programming and Software Development
12.5 points, foundation subject (computer science).
Algorithms and Complexity
12.5 points, foundation subject (computer science).
Elements of Data Processing
12.5 points, foundation subject (computer science).
Database Systems & Data Modelling
12.5 points, foundation subject (computer science).
Statistical Modelling for Data Science
12.5 points, core subject.
Multivariate Statistics for Data Science
12.5 points, core subject.
Computational Statistics & Data Science
12.5 points, core subject.
Cluster and Cloud Computing
12.5 points, core subject.
Advanced Database Systems
12.5 points, core subject.
Statistical Machine Learning
12.5 points, core subject.
Data Science Project Pt1
Capstone subject.
Data Science Project Pt2
Capstone subject.
Data Science Research Project Pt1
Capstone subject (research pathway).
Data Science Research Project Pt2
Capstone subject (research pathway).
Specialisation subjects (varies by specialisation stream)
e.g. Bayesian Statistical Learning (MAST90125), Advanced Probability (MAST90081), Mathematical Statistics (MAST90082), Natural Language Processing (COMP90042), Computer Vision (COMP90086), Distributed Systems (COMP90015), Cryptography and Security (COMP90043), The Ethics of Artificial Intelligence (COMP90087), across Statistical, Computational, and Computational and Statistical Data Science specialisations.
General and internship subjects (optional)
e.g. Science and Technology Internship (SCIE90017), Knowledge Management Systems (ISYS90035), Spatial Data Analytics (GEOM90006), Communicating Science at Work (SCIE90034).
Common Questions
The Master of Data Science offers four data science specialisations to choose from: foundational, statistical, computational, and computational and statistical.
Yes, in the final year there is a capstone subject where students apply data science tools to a practical problem. Students can work individually or in a group and are required to present their technically correct results in a client-ready format.
The School of Mathematics and Statistics offers dedicated support including experienced academic advisors, research seminars featuring leading academics, a Data Science Peer-to-Peer Mentoring program, the Mathematics and Statistics Society, and the Statistics and Mathematics Postgraduate Society (StAMPS). Stop 1 also provides support across the full range of student services including course planning, academic skills advice, global exchange support, fees and scholarship information, visa information, wellbeing and accommodation, and student administration.
Yes, the course offers flexible entry. Students can enter with a computer science or statistics background, or complete core subject prerequisites if they are coming from a different background.
Yes, students can build job-ready skills by choosing a science or technology internship as an elective, and can also explore overseas study opportunities with a wide range of global partners through the global exchange and overseas study support program.
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.
Honestly I was lost when I first started looking at Australian colleges. There are just too many options and every agent gives you different info. A friend told me about FindTheCourses and within a week I had shortlisted 3 programs that actually matched my budget and visa situation. My advisor Sanjay was super helpful — never felt like I was being pushed into anything.
Priya Sharma
India
Master of Nursing · Griffith University
