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


2018 Enrolment Program Structure

To graduate you must complete the following:

  Year One of Program
 
AND  Year Two of Program
 

Important course offering information for the 2018 academic year:

MATH1326 Methods and Models of Operations Research (class number 1105) is offering as part of the 'PGRD flexible term 2018.' 

 

- Recommended full-time study load for this program is 48 credit points or Four (4) courses equivalent each semester.

- Total number of credit points needed to complete this master's degree program is 192 credit points or 16 courses equivalent.

 

Credit Transfer

At RMIT you can apply for credit so your previous learning or experience counts toward your RMIT program.  If you are eligible for credit transfer or advanced standing please complete Credit transfer and higher education recognition of prior learning application form.

 

Recognition of Prior Learning (RPL)

If you are seeking to claim RPL based on your work and professional development program offered by your employer (as well as previous formal study that is more than 10 years old) then there is an additional form (Higher Education application for recognition of prior learning (RPL) assessment document).

 

Lodge the relevant Credit Transfer/RPL form(s) on the RMIT Connect Student Portal as soon as possible along with all your supporting documents, e.g. transcript, resume, reference letters etc.

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Year One of Program

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

New Students

Please select MATH2267 - Essential Mathematics if your current degree is not in the area of Science, Engineering, lacking the pre-requisite in mathematics or you have completed your bachelor degree more than ten years ago.

MATH2267 - Essential Mathematics is being removed as a core course. From semester two, 2018, students can replace this with a program elective course. Students may choose the order in which they undertake these courses.

 

Complete the following Five (5) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Essential Mathematics12MATH2267City Campus16031577
Mathematical Modelling and Decision Analysis12YesMATH1293City Campus2666
Introduction to Statistics12YesMATH1324City Campus25382488
Database Concepts12YesISYS1055City Campus26282590
Data Preprocessing12YesMATH2349City Campus14651447
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 Campus31321581
Applied Bayesian Statistics12YesMATH2269City Campus1448
Analysis of Categorical Data12YesMATH1298City Campus1449
Design and Analysis of Experiments12YesMATH1302City Campus1466
Multivariate Analysis Techniques12YesMATH1309City Campus1450
Stochastic Processes and Applications12YesMATH1317City Campus1467
Time Series Analysis12YesMATH1318City Campus2509
Sports Analytics12YesMATH2223City Campus1602
Machine Learning12YesMATH2319City Campus1655
Introduction to Statistical Computing12MATH1322City Campus2482
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 Campus1984
Algorithms and Analysis12YesCOSC1285City Campus20021963
Advanced Programming12YesCOSC1295City Campus17741725
Data Mining12YesCOSC2111City Campus1816
Database Systems12YesCOSC2407City Campus1782
Programming Fundamentals12YesCOSC2531City Campus26392600
Big Data Management12YesCOSC2636City Campus2651
Big Data Processing12YesCOSC2637City Campus1696
Legal, Ethical and Policy Issues in Data Science12YesCOSC2669City Campus2613
Practical Data Science12YesCOSC2670City Campus2624
Social Media and Networks Analytics12YesCOSC2671City Campus1757
GIS Fundamentals12GEOM1159City Campus15591560
GIS Principles12YesGEOM1163City Campus1561
Advanced GIS12YesGEOM2151City Campus1897
GIS Analytics12YesGEOM2152City Campus1898
Introduction to Information Security12INTE1120City Campus1801
Case Studies in Cyber Security12INTE1122City Campus1900
Information Systems Risk Management12YesINTE2396City Campus2048
Information Retrieval12YesISYS1078City Campus2631
Data Visualisation12YesMATH2270City Campus31321581
Applied Bayesian Statistics12YesMATH2269City Campus1448
Analysis of Categorical Data12YesMATH1298City Campus1449
Design and Analysis of Experiments12YesMATH1302City Campus1466
Multivariate Analysis Techniques12YesMATH1309City Campus1450
Stochastic Processes and Applications12YesMATH1317City Campus1467
Time Series Analysis12YesMATH1318City Campus2509
Sports Analytics12YesMATH2223City Campus1602
Machine Learning12YesMATH2319City Campus1655
Introduction to Statistical Computing12MATH1322City Campus2482
 
AND

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Year Two 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 One (1) Course:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Applied Research Project12YesMATH2191City Campus15101709
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 Campus31321581
Applied Bayesian Statistics12YesMATH2269City Campus1448
Analysis of Categorical Data12YesMATH1298City Campus1449
Design and Analysis of Experiments12YesMATH1302City Campus1466
Multivariate Analysis Techniques12YesMATH1309City Campus1450
Stochastic Processes and Applications12YesMATH1317City Campus1467
Time Series Analysis12YesMATH1318City Campus2509
Minor Thesis24YesMATH1332City Campus25412514
Sports Analytics12YesMATH2223City Campus1602
Machine Learning12YesMATH2319City Campus1655
Introduction to Statistical Computing12MATH1322City Campus2482
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 Campus1984
Algorithms and Analysis12YesCOSC1285City Campus20021963
Advanced Programming12YesCOSC1295City Campus17741725
Data Mining12YesCOSC2111City Campus1816
Database Systems12YesCOSC2407City Campus1782
Programming Fundamentals12YesCOSC2531City Campus26392600
Big Data Management12YesCOSC2636City Campus2651
Big Data Processing12YesCOSC2637City Campus1696
Legal, Ethical and Policy Issues in Data Science12YesCOSC2669City Campus2613
Practical Data Science12YesCOSC2670City Campus2624
Social Media and Networks Analytics12YesCOSC2671City Campus1757
GIS Fundamentals12GEOM1159City Campus15591560
GIS Principles12YesGEOM1163City Campus1561
Advanced GIS12YesGEOM2151City Campus1897
GIS Analytics12YesGEOM2152City Campus1898
Introduction to Information Security12INTE1120City Campus1801
Case Studies in Cyber Security12INTE1122City Campus1900
Information Systems Risk Management12YesINTE2396City Campus2048
Information Retrieval12YesISYS1078City Campus2631
Data Visualisation12YesMATH2270City Campus31321581
Applied Bayesian Statistics12YesMATH2269City Campus1448
Analysis of Categorical Data12YesMATH1298City Campus1449
Design and Analysis of Experiments12YesMATH1302City Campus1466
Multivariate Analysis Techniques12YesMATH1309City Campus1450
Stochastic Processes and Applications12YesMATH1317City Campus1467
Time Series Analysis12YesMATH1318City Campus2509
Sports Analytics12YesMATH2223City Campus1602
Machine Learning12YesMATH2319City Campus1655
Introduction to Statistical Computing12MATH1322City Campus2482
 

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Contact details and related links

Program structure enquiries

Academic Services Centre - Melbourne City Campus

College of Science, Engineering and Health

Building 10, Level 9, Room 4

124 La Trobe Street Melbourne 3000

Lodge your enquiries via

RMIT Connect Student Portal

Tel: +61 3 9925 2621

 

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.

 

Program Leader: Dr. Mali Abdollahian

School of Science

Building 8, Level 9, Room 36

360-370 Swanston Street, Melbourne 3000

Tel: +61 3 9925 2248

Email: mali.abdollahian@rmit.edu.au

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.

Policies

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

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