Master of Data Science - Plan MC267

Master of Data Science - Plan MC267

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Student type:
Entry score:

Not applicable*

Duration:
Full-time 2 years
Part-time 4 years
Fees:

AU$35,520 (2026 annual)

Next intake:
February, July
Location:
Melbourne City
Entry score:

See admissions

Duration:
Full-time 2 years
Fees:

AU$44,160 (2026 annual)

Next intake:
February, July
Location:
Melbourne City

CRICOS code: 093313B

To graduate you must complete the following. All courses listed may not be available each semester.

Students must complete a series of compulsory onboarding modules during their first semester or study period. Complete 84 credit points from the following:

Course Title Credit Points Course Code Campus
Practical Data Science with Python 12 COSC2670 City Campus
Programming Fundamentals 12 COSC2531 City Campus
Database Concepts 12 ISYS1055 City Campus
Applied Analytics 12 MATH1324 City Campus
Data Wrangling 12 MATH2349 City Campus
The Data Science Professional 12 COSC2792 City Campus
Advanced Programming for Data Science 12 COSC2820 City Campus

AND

Complete 12 credit points from the following:

Course Title Credit Points Course Code Campus
Big Data Processing 12 COSC2637 City Campus
Data Visualisation and Communication 12 MATH2270 City Campus
Case Studies in Data Science 12 COSC2669 City Campus

Complete 12 credit points from the following:

Course Title Credit Points Course Code Campus
Computational Machine Learning 12 COSC2793 City Campus
Data Mining 12 COSC3125 City Campus
Machine Learning 12 MATH2319 City Campus

AND

Complete 24 credit points not already completed from the following:

Course Title Credit Points Course Code Campus
Big Data Processing 12 COSC2637 City Campus
Data Visualisation and Communication 12 MATH2270 City Campus
Case Studies in Data Science 12 COSC2669 City Campus

(

Program Option: Complete 24 credit points from the following:

Course Title Credit Points Course Code Campus
Data Science Postgraduate Project 24 COSC2667 City Campus

AND

Complete 36 credit points from the following Data Science Program Option Courses:

Course Title Credit Points Course Code Campus
Algorithms and Analysis 12 COSC3119 City Campus
Analysis of Categorical Data 12 MATH1298 City Campus
Applied Bayesian Statistics 12 MATH2269 City Campus
Artificial Intelligence 12 COSC3117 City Campus
Deep Learning 12 COSC2779 City Campus
Big Data Management 12 COSC2636 City Campus
Cloud Computing 12 COSC2640 City Campus
Data Mining 12 COSC3125 City Campus
Database Systems 12 COSC3138 City Campus
Computational Machine Learning 12 COSC2793 City Campus
Evolutionary Computing 12 COSC3124 City Campus
Forecasting 12 MATH1307 City Campus
Managing Semi-structured and Unstructured Data 12 ISYS3476 City Campus
Optimisation for Decision Making 12 MATH2468 City Campus
Advanced Optimisation 12 MATH1326 City Campus
Machine Learning 12 MATH2319 City Campus
Multivariate Analysis Techniques 12 MATH1309 City Campus
Regression Analysis 12 MATH1312 City Campus
Social Media and Networks Analytics 12 COSC2671 City Campus
Time Series Analysis 12 MATH1318 City Campus
Usability Engineering 12 COSC3127 City Campus
Intelligent Decision Making 12 COSC2780 City Campus

) OR

Research Option 1: Complete 60 credit points from the following:

Course Title Credit Points Course Code Campus
Computing Research and Project Preparation 12 COSC3130 City Campus
Algorithms and Analysis 12 COSC3119 City Campus
Minor Thesis/Project 36 COSC2179 City Campus

OR

Research Option 2: Complete 60 credit points from the following:

Course Title Credit Points Course Code Campus
Computing Research and Project Preparation 12 COSC3130 City Campus
Algorithms and Analysis 12 COSC3119 City Campus
Minor Thesis/Project Part A 24 COSC2389 City Campus
Minor Thesis/Project Part B 12 COSC2390 City Campus
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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