MC242 - Master of Analytics

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RMIT program code: MC242
Plan name: Master of Analytics
Plan code: MC242
Campus: City Campus
Credit points per semester:
Full time: 48
Part time: 24
CRICOS code: 081540A

Contact details and related links


2019 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 2019 academic year:

Students can apply for the joint SAS and RMIT graduate certificate in "Advanced Analytics" upon completing the following 5 Math courses:

  • Introduction to Statistics (MATH 1324)
  • Data Pregrocessing (MATH2349)
  • Data Visualisation (MATH 2270)
  • Introduction to Statistical Computing (MATH1322)
  • Multivariate Analysis Techniques (MATH 1309)

PLUS only one of the following 3 Online SAS courses:

  • SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression
  • Applied Analytics using SAS Enterprise Miner
  • Predictive Modeling using Logistic Regression 

- 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 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 leader via email for further assistance. Students may choose the order in which they undertake these courses.

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. 

Complete the following Three (3) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Introduction to Statistics12YesMATH1324City Campus1160 (FF)1154 (FF)
Database Concepts12YesISYS1055City Campus13391348
Data Preprocessing12YesMATH2349City Campus11401138
AND

Select and Complete up to 24 credit points from the following Courses (please note: if you choose 24 credit points here you may only choose 12 credit points in the second list):

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Essential Mathematics12MATH2267City Campus11471141
Data Visualisation12YesMATH2270City Campus11411139
Machine Learning12YesMATH2319City Campus1163
Time Series Analysis12YesMATH1318City Campus1208
AND

Select and Complete up to 24 credit points from the following Courses (please note: if you choose 24 credit points here you may only choose 12 credit points in this list):

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Mathematical Modelling and Decision Analysis12YesMATH1293City Campus1157
Forecasting12YesMATH1307City Campus1143
Regression Analysis12YesMATH1312City Campus1178
Statistical Inference12YesMATH1315City Campus1201
Statistics of Quality Control and Performance Analysis12YesMATH1316City Campus1199
Questionnaire and Research Design12YesMATH2218City Campus1168
System Dynamics12YesMATH2220City Campus1210
Sports Analytics12YesMATH2223City Campus1183
Introduction to Statistical Computing12MATH1322City Campus11591153
AND

Select and Complete Two (2) Courses from the Science Option course list below.

 
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 Campus11351129
AND

Select and Complete Two (2) of the following courses not previously completed:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Data Visualisation12YesMATH2270City Campus11411139
Machine Learning12YesMATH2319City Campus1163
Time Series Analysis12YesMATH1318City Campus1208
Essential Mathematics12MATH2267City Campus11471141
AND

Select and Complete Thirty-Six (36) credit points from the following Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Mathematical Modelling and Decision Analysis12YesMATH1293City Campus1157
Forecasting12YesMATH1307City Campus1143
Regression Analysis12YesMATH1312City Campus1178
Statistical Inference12YesMATH1315City Campus1201
Statistics of Quality Control and Performance Analysis12YesMATH1316City Campus1199
Minor Thesis24YesMATH1332City Campus11761161
Questionnaire and Research Design12YesMATH2218City Campus1168
System Dynamics12YesMATH2220City Campus1210
Sports Analytics12YesMATH2223City Campus1183
Introduction to Statistical Computing12MATH1322City Campus11591153
AND

Select and Complete Two (2) Courses from the Science Option course list below. Science Option Course List:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Accounting for Management Decisions12ACCT2127City Campus17821701
Corporate Finance12BAFI1059City Campus17521733
Fixed Income Securities and Credit Analysis12BAFI1065City Campus17541734
Financial Decision Making12BAFI1100City Campus17561737
Options, Futures and Risk Management12BAFI2081City Campus17611739
Artificial Intelligence12YesCOSC1125City Campus1322
Algorithms and Analysis12YesCOSC1285City Campus13191316
Advanced Programming12YesCOSC1295City Campus13161313
Data Mining12YesCOSC2111City Campus1331
Database Systems12YesCOSC2407City Campus1341
Programming Fundamentals12YesCOSC2531City Campus13701371
Big Data Management12YesCOSC2636City Campus1325
Big Data Processing12YesCOSC2637City Campus1319
Case Studies in Data Science12YesCOSC2669City Campus1360
Practical Data Science12YesCOSC2670City Campus1367
Social Media and Networks Analytics12YesCOSC2671City Campus1335
Quantitative Methods in Finance12ECON1095City Campus18361759
Economic Analysis for Business12ECON1113City Campus18391761
Econometric Techniques12ECON1238City Campus1948
GIS Fundamentals12GEOM1159City Campus1227 (FF)1215 (FF)
GIS Principles12YesGEOM1163City Campus1217
Advanced GIS12YesGEOM2151City Campus1211
GIS Analytics12YesGEOM2152City Campus1224
Digital Risk Management and Information Security12INTE1002City Campus17621822
Digital Strategy12INTE1030City Campus17641824
Business Intelligence12INTE1040City Campus1827
Introduction to Information Security12INTE1120City Campus1155
Case Studies in Cyber Security12INTE1122City Campus1138
Information Systems Risk Management12YesINTE2396City Campus1157
Web Search Engines and Information Retrieval12YesISYS1078City Campus1352
Business Systems Analysis and Design12ISYS2395City Campus18181932
Enterprise Systems12ISYS2396City Campus18191934
Risk Management and Feasibility12MANU1051City Campus1506 (FF)
Engineering Economic Strategy12MANU1054City Campus1522 (FF)1509 (FF)
Sustainable Engineering Systems and Environment12MANU1381City Campus1526 (FF)1514 (FF)
Project Management12MANU2123City Campus1449 (FF)1452 (FF)
Mathematical Modelling and Decision Analysis12YesMATH1293City Campus1157
Forecasting12YesMATH1307City Campus1143
Regression Analysis12YesMATH1312City Campus1178
Statistical Inference12YesMATH1315City Campus1201
Statistics of Quality Control and Performance Analysis12YesMATH1316City Campus1199
Questionnaire and Research Design12YesMATH2218City Campus1168
System Dynamics12YesMATH2220City Campus1210
Sports Analytics12YesMATH2223City Campus1183
Introduction to Statistical Computing12MATH1322City Campus11591153
Marketing Management12MKTG1100City Campus18761789
Consumer Behaviour12YesMKTG1101City Campus18791791
Interactive Marketing12YesMKTG1105City Campus1799
Services Marketing12YesMKTG1112City Campus1887
Business and Network Marketing12YesMKTG1209City Campus1801
Supply Chain Principles12OMGT1021City Campus18591953
Supply Chain Modelling & Design12OMGT2087City Campus19011992
Supply Chain Sustainability12OMGT2190City Campus19262011
Strategic Operations and Supply Chain Management12OMGT2191City Campus19272013
e Business Supply Chains12OMGT1236City Campus18961990
Distribution and Freight Logistics12YesOMGT1012City Campus1951
 

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Contact details and related links

Program structure enquiries

College of Science, Engineering and Health
Academic Services Centre - Melbourne City Campus

Enquiries can be submitted via the RMIT Connect Student Portal 

Building 10, Level 9, Room 1
124 La Trobe Street
Melbourne VIC 3000
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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