MC004 - Master of Statistics and Operations Research

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RMIT program code: MC004
Plan name: Master of Statistics and Operations Research
Plan code: MC004P12
Campus: City Campus
Credit points per semester:
Full time: 48
Part time: 24
CRICOS code: 074919G

Contact details and related links


2017 Enrolment Program Structure

To graduate you must complete the following:

  Year One of Program
 
AND  Year Two of Program
 

Total number of Credit Points needed to complete this Masters degree is 192 Credit Points.

 

 

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Year One of Program

Note: Some core and elective courses are not offered every year. We strongly encourage you to check program information here or please contact the program leader via email for further assistance.

Complete the following Five (5) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Essential Mathematics12MATH2267City Campus11631099
Mathematical Modelling and Decision Analysis12YesMATH1293City Campus1096
Introduction to Statistical Computing12MATH1322City Campus11601097
Introduction to Statistics12YesMATH1324City Campus11611098
Database Concepts12YesISYS1055City Campus17053356
AND

Select and Complete One (1) of the following Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Data Visualisation12YesMATH2270City Campus1117
Forecasting12YesMATH1307City Campus1109
Regression Analysis12YesMATH1312City Campus1164
Statistics of Quality Control and Performance Analysis12YesMATH1316City Campus1110
Time Series Analysis12YesMATH1318City Campus1165
Game Theory and its Applications12YesMATH1320City Campus1112
Questionnaire and Research Design12YesMATH2218City Campus1115
Systems Simulation12YesMATH2219City Campus1166
Sports Analytics12YesMATH2223City Campus1162
Machine Learning12YesMATH2319City Campus1177
AND

Select and Complete Two (2) of the following Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Artificial Intelligence12YesCOSC1125City Campus1693
Algorithms and Analysis12YesCOSC1285City Campus16911645
Advanced Programming12YesCOSC1295City Campus16871643
Data Mining12YesCOSC2111City Campus1656
Database Systems12YesCOSC2407City Campus1707
Programming Fundamentals12YesCOSC2531City Campus17301678
Big Data Infrastructures12YesCOSC2636City Campus1694
Data Visualization and Communication12YesCOSC2668City Campus1657
Legal, Ethical and Policy Issues in Data Science12YesCOSC2669City Campus1671
Practical Data Science12YesCOSC2670City Campus1728
GIS Fundamentals12GEOM1159City Campus15253154
GIS Principles12YesGEOM1163City Campus3155
Advanced GIS12YesGEOM2151City Campus1547
GIS Analytics12YesGEOM2152City Campus1527
Introduction to Information Security12INTE1120City Campus3484
Case Studies in Information Security12INTE1122City Campus2715
Information Theory for Secure Communications12YesINTE1128City Campus3592
Information Systems Risk Management12YesINTE2396City Campus2719
Information Retrieval12YesISYS1078City Campus1715
Data Visualisation12YesMATH2270City Campus1117
Forecasting12YesMATH1307City Campus1109
Regression Analysis12YesMATH1312City Campus1164
Statistics of Quality Control and Performance Analysis12YesMATH1316City Campus1110
Time Series Analysis12YesMATH1318City Campus1165
Game Theory and its Applications12YesMATH1320City Campus1112
Questionnaire and Research Design12YesMATH2218City Campus1115
Systems Simulation12YesMATH2219City Campus1166
Sports Analytics12YesMATH2223City Campus1162
Machine Learning12YesMATH2319City Campus1177
 
AND

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Year Two of Program

Complete the following One (1) Course:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Applied Research Project12YesMATH2191City Campus1167
AND

Select and complete Sixty (60) Credit Points from the following Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Data Visualisation12YesMATH2270City Campus1117
Forecasting12YesMATH1307City Campus1109
Regression Analysis12YesMATH1312City Campus1164
Statistics of Quality Control and Performance Analysis12YesMATH1316City Campus1110
Time Series Analysis12YesMATH1318City Campus1165
Game Theory and its Applications12YesMATH1320City Campus1112
Minor Thesis24YesMATH1332City Campus11681108
Questionnaire and Research Design12YesMATH2218City Campus1115
Systems Simulation12YesMATH2219City Campus1166
Sports Analytics12YesMATH2223City Campus1162
Machine Learning12YesMATH2319City Campus1177
AND

Select and Complete Two (2) of the following Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Artificial Intelligence12YesCOSC1125City Campus1693
Algorithms and Analysis12YesCOSC1285City Campus16911645
Advanced Programming12YesCOSC1295City Campus16871643
Data Mining12YesCOSC2111City Campus1656
Database Systems12YesCOSC2407City Campus1707
Programming Fundamentals12YesCOSC2531City Campus17301678
Big Data Infrastructures12YesCOSC2636City Campus1694
Data Visualization and Communication12YesCOSC2668City Campus1657
Legal, Ethical and Policy Issues in Data Science12YesCOSC2669City Campus1671
Practical Data Science12YesCOSC2670City Campus1728
GIS Fundamentals12GEOM1159City Campus15253154
GIS Principles12YesGEOM1163City Campus3155
Advanced GIS12YesGEOM2151City Campus1547
GIS Analytics12YesGEOM2152City Campus1527
Introduction to Information Security12INTE1120City Campus3484
Case Studies in Information Security12INTE1122City Campus2715
Information Theory for Secure Communications12YesINTE1128City Campus3592
Information Systems Risk Management12YesINTE2396City Campus2719
Information Retrieval12YesISYS1078City Campus1715
Data Visualisation12YesMATH2270City Campus1117
Forecasting12YesMATH1307City Campus1109
Regression Analysis12YesMATH1312City Campus1164
Statistics of Quality Control and Performance Analysis12YesMATH1316City Campus1110
Time Series Analysis12YesMATH1318City Campus1165
Game Theory and its Applications12YesMATH1320City Campus1112
Questionnaire and Research Design12YesMATH2218City Campus1115
Systems Simulation12YesMATH2219City Campus1166
Sports Analytics12YesMATH2223City Campus1162
Machine Learning12YesMATH2319City Campus1177
 

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Contact details and related links

Program structure enquiries

Lodge an RMIT Connect online enquiry via your myRMIT student portal for all Course and Program Structure related matters.

Before you enrol:

We strongly encourage you to check your study plan available under the program information section of MyRMIT Studies and contact the program leader by email if you have any questions.

 

Dr James Baglin

School of Science

Building 8, Level 9, Room 69

360-370 Swanston Street

Melbourne, VIC 3000

Tel: +61 3 9925 6118

Email: james.baglin@rmit.edu.au

 

Academic Services for School of Science

Building 3 Level 1 Room 2

College of Science, Engineering and Health (SEH)

Tel: +61 3 9925 2621

Timetabling

Please go to the Class timetables web page to access timetabling information.

 

Material fees

Some courses and programs have material fees (fees for field trips, goods or services) associated with them. In most cases these charges are not compulsory, but are levied by the teaching school for materials they purchase on your behalf for use in your studies. Go to the Material Fees web page to check the material fees for your program and courses.

Enrolment

For more information about enrolment at RMIT University, please go to the Enrolment home page.

*Semester 1 classes generally commence in February and Semester 2 classes generally commence in July. Please contact your school for more information about specific class start days.

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For more information about other RMIT University policies, please go to the Policies web site.

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