Master of Data Science - Plan MC267

Master of Data Science - Plan MC267

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Student type:
Learning mode:
On campus
Entry score:

Not applicable

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

AU$33,600 (2024 annual)

Next intake:
February, July
Location:
Melbourne City
Learning mode:
On campus
Entry score:

See admissions

Duration:
Full-time 2 years
Fees:

AU$39,360 (2024 annual)

Next intake:
February, July
Location:
Melbourne City
To graduate you must complete the following: All courses listed may not be available each semester
Year One of Program
Complete the following Seven (7) Courses:
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
ANDSelect and Complete One (1) of the following Courses:
Course TitleCredit PointsCourse CodeCampus
Big Data Processing12COSC2637City Campus
Data Visualisation and Communication12MATH2270City Campus
Case Studies in Data Science12COSC2669City Campus
AND
Year Two of Program
Select and Complete One (1) of the following Courses:
Course TitleCredit PointsCourse CodeCampus
Computational Machine Learning12COSC2793City Campus
Data Mining12COSC2111City Campus
Machine Learning12MATH2319City Campus
ANDSelect and Complete Two (2) of the following Courses that you have not previously completed:
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 the following One (1) Course:
Course TitleCredit PointsCourse CodeCampus
Data Science Postgraduate Project24COSC2667City Campus
ANDSelect and Complete Three (3) Courses from Data Science Program Option Courses:
Course TitleCredit PointsCourse CodeCampus
Advanced Programming12COSC1295City Campus
Algorithms and Analysis12COSC1285City Campus
Analysis of Categorical Data12MATH1298City Campus
Applied Bayesian Statistics12MATH2269City Campus
Artificial Intelligence12COSC1125City Campus
Deep Learning12COSC2779City Campus
Big Data Management12COSC2636City Campus
Cloud Computing12COSC2640City Campus
Data Mining12COSC2111City Campus
Database Systems12COSC2407City Campus
Computational Machine Learning12COSC2793City Campus
Evolutionary Computing12COSC2033City Campus
Forecasting12MATH1307City Campus
Knowledge and Data Warehousing12ISYS1072City Campus
Managing Semi-structured and Unstructured Data12ISYS1078City 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 Engineering12COSC1182City Campus
Intelligent Decision Making12COSC2780City Campus
}ORResearch Option 1: Complete the following Three (3) Courses:
Course TitleCredit PointsCourse CodeCampus
Research Methods12COSC2149City Campus
Algorithms and Analysis12COSC1285City Campus
Minor Thesis/Project36COSC2179City Campus
ORResearch Option 2: Complete the following Four (4) Courses:
Course TitleCredit PointsCourse CodeCampus
Research Methods12COSC2149City Campus
Algorithms and Analysis12COSC1285City 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 'Luwaytini' by Mark Cleaver, Palawa.

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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