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$34,560 (2025 annual)

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

See admissions

Duration:
Full-time 2 years
Fees:

AU$41,280 (2025 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.
Year One of Program
Complete 84 credit points from the following:
Course TitleCredit PointsCourse CodeCampus
Practical Data Science with Python12COSC2670City Campus
Programming Fundamentals12COSC2531City Campus
Database Concepts12ISYS1055City Campus
Applied Analytics12MATH1324City Campus
Data Wrangling12MATH2349City Campus
The Data Science Professional12COSC2792City Campus
Advanced Programming for Data Science12COSC2820City Campus
ANDComplete 12 credit points from the following:
Course TitleCredit PointsCourse CodeCampus
Big Data Processing12COSC2637City Campus
Data Visualisation and Communication12MATH2270City Campus
Case Studies in Data Science12COSC2669City Campus
AND
Year Two of Program
Complete 12 credit points from the following:
Course TitleCredit PointsCourse CodeCampus
Computational Machine Learning12COSC2793City Campus
Data Mining12COSC3125City Campus
Machine Learning12MATH2319City Campus
ANDComplete 24 credit points not already completed from the following:
Course TitleCredit PointsCourse CodeCampus
Big Data Processing12COSC2637City Campus
Data Visualisation and Communication12MATH2270City Campus
Case Studies in Data Science12COSC2669City Campus
AND
Year Two of Program - Program and Research Options
{Program Option: Complete 24 credit points from the following:
Course TitleCredit PointsCourse CodeCampus
Data Science Postgraduate Project24COSC2667City Campus
ANDComplete 36 credit points from the following Data Science Program Option Courses:
Course TitleCredit PointsCourse CodeCampus
Algorithms and Analysis12COSC3119City Campus
Analysis of Categorical Data12MATH1298City Campus
Applied Bayesian Statistics12MATH2269City Campus
Artificial Intelligence12COSC3117City Campus
Deep Learning12COSC2779City Campus
Big Data Management12COSC2636City Campus
Cloud Computing12COSC2640City Campus
Data Mining12COSC3125City Campus
Database Systems12COSC3138City Campus
Computational Machine Learning12COSC2793City Campus
Evolutionary Computing12COSC3124City Campus
Forecasting12MATH1307City Campus
Managing Semi-structured and Unstructured Data12ISYS3476City Campus
Optimisation for Decision Making12MATH2468City Campus
Advanced Optimisation12MATH1326City Campus
Machine Learning12MATH2319City Campus
Multivariate Analysis Techniques12MATH1309City Campus
Regression Analysis12MATH1312City Campus
Social Media and Networks Analytics12COSC2671City Campus
Time Series Analysis12MATH1318City Campus
Usability Engineering12COSC3127City Campus
Intelligent Decision Making12COSC2780City Campus
Knowledge and Data Warehousing12ISYS1072City Campus
}ORResearch Option 1: Complete 60 credit points from the following:
Course TitleCredit PointsCourse CodeCampus
Computing Research and Project Preparation12COSC3130City Campus
Algorithms and Analysis12COSC3119City Campus
Minor Thesis/Project36COSC2179City Campus
ORResearch Option 2: Complete 60 credit points from the following:
Course TitleCredit PointsCourse CodeCampus
Computing Research and Project Preparation12COSC3130City Campus
Algorithms and Analysis12COSC3119City Campus
Minor Thesis/Project Part A24COSC2389City Campus
Minor Thesis/Project Part B12COSC2390City 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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aboriginal flag
torres strait flag

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.

More information