Master of Statistics and Operations Research - Plan MC004P12

Master of Statistics and Operations Research - Plan MC004P12

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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$31,680 (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 Four (4) Courses:
Course TitleCredit PointsCourse CodeCampus
Optimisation for Decision Making12MATH2468City Campus
Applied Analytics12MATH1324City Campus
Database Concepts12ISYS1055City Campus
Data Wrangling12MATH2349City Campus
ANDSelect and Complete Two (2) of the following Courses:
Course TitleCredit PointsCourse CodeCampus
Essential Mathematics12MATH2267City Campus
Data Visualisation and Communication12MATH2270City Campus
Applied Bayesian Statistics12MATH2269City Campus
Analysis of Categorical Data12MATH1298City Campus
Design and Analysis of Experiments12MATH1302City Campus
Forecasting12MATH1307City Campus
Multivariate Analysis Techniques12MATH1309City Campus
Regression Analysis12MATH1312City Campus
Statistical Inference12MATH1315City Campus
Statistics of Quality Control and Performance Analysis12MATH1316City Campus
Stochastic Processes and Applications12MATH1317City Campus
Time Series Analysis12MATH1318City Campus
Game Theory and its Applications12MATH1320City Campus
Advanced Optimisation12MATH1326City Campus
Questionnaire and Research Design12MATH2218City Campus
System Dynamics12MATH2220City Campus
Sports Analytics12MATH2223City Campus
Machine Learning12MATH2319City Campus
Introduction to Statistical Computing12MATH1322City Campus
Statistical Data Science12MATH2472City Campus
ANDSelect and Complete Two (2) Courses from the Option Course list below:
AND
Year Two of Program
Complete the following One (1) Course:
Course TitleCredit PointsCourse CodeCampus
Applied Research Project12MATH2191City Campus
ANDSelect and Complete Sixty (60) Credit points from the following Courses:
Course TitleCredit PointsCourse CodeCampus
Data Visualisation and Communication12MATH2270City Campus
Applied Bayesian Statistics12MATH2269City Campus
Analysis of Categorical Data12MATH1298City Campus
Design and Analysis of Experiments12MATH1302City Campus
Forecasting12MATH1307City Campus
Multivariate Analysis Techniques12MATH1309City Campus
Regression Analysis12MATH1312City Campus
Statistical Inference12MATH1315City Campus
Statistics of Quality Control and Performance Analysis12MATH1316City Campus
Stochastic Processes and Applications12MATH1317City Campus
Time Series Analysis12MATH1318City Campus
Game Theory and its Applications12MATH1320City Campus
Advanced Optimisation12MATH1326City Campus
Minor Thesis24MATH1332City Campus
Questionnaire and Research Design12MATH2218City Campus
System Dynamics12MATH2220City Campus
Sports Analytics12MATH2223City Campus
Machine Learning12MATH2319City Campus
Introduction to Statistical Computing12MATH1322City Campus
Statistical Data Science12MATH2472City Campus
ANDSelect and Complete Two (2) Courses from the Option Course list below:
AND
Option Course List:
List of Option Courses:
Course TitleCredit PointsCourse CodeCampus
Scripting Language Programming12COSC1092City Campus
Artificial Intelligence12COSC1125City Campus
Intelligent Web Systems12COSC1165City Campus
Programming Techniques12COSC1283City Campus
Algorithms and Analysis12COSC1285City Campus
Advanced Programming12COSC1295City Campus
Data Mining12COSC2111City Campus
Advanced Programming Techniques12COSC2207City Campus
Database Systems12COSC2407City Campus
Programming Fundamentals12COSC2531City Campus
Big Data Management12COSC2636City Campus
Big Data Processing12COSC2637City Campus
Cloud Computing12COSC2640City Campus
Practical Data Science with Python12COSC2670City Campus
Social Media and Networks Analytics12COSC2671City Campus
Deep Learning12COSC2779City Campus
GIS Fundamentals12GEOM1159City Campus
GIS Principles12GEOM1163City Campus
Advanced GIS12GEOM2151City Campus
GIS Analytics12GEOM2152City Campus
Introduction to Information Security12INTE1120City Campus
Case Studies in Cyber Security12INTE1122City Campus
Information Theory for Secure Communications12INTE1128City Campus
Information Systems Risk Management12INTE2396City Campus
Knowledge and Data Warehousing12ISYS1072City Campus
Managing Semi-structured and Unstructured Data12ISYS1078City Campus
Data Visualisation and Communication12MATH2270City Campus
Applied Bayesian Statistics12MATH2269City Campus
Analysis of Categorical Data12MATH1298City Campus
Design and Analysis of Experiments12MATH1302City Campus
Forecasting12MATH1307City Campus
Multivariate Analysis Techniques12MATH1309City Campus
Regression Analysis12MATH1312City Campus
Statistical Inference12MATH1315City Campus
Statistics of Quality Control and Performance Analysis12MATH1316City Campus
Stochastic Processes and Applications12MATH1317City Campus
Time Series Analysis12MATH1318City Campus
Game Theory and its Applications12MATH1320City Campus
Advanced Optimisation12MATH1326City Campus
Questionnaire and Research Design12MATH2218City Campus
System Dynamics12MATH2220City Campus
Sports Analytics12MATH2223City Campus
Machine Learning12MATH2319City Campus
Introduction to Statistical Computing12MATH1322City Campus
Statistical Data Science12MATH2472City 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