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


2024 Enrolment Program Structure

To graduate you must complete the following: All courses listed may not be available each semester.

   Year One of Program
 
AND   Year Two of Program
 

PROGRAM REQUIREMENTS 

You must complete a total of 192 credit points to successfully complete the program. 

ENROLMENT LOAD 

Full-time study load is 48 credit points or Four (4) courses equivalent each semester. 
Part-time study load is 24 credit points, or Two (2) course equivalent each semester. 


COMBINATION
The Program combination is

  • 11 Maths (MATHxxxx) courses
  • 1 Science Core ISYS1055
  • 4 non-Maths (Science or Business) courses. These can be replaced with Maths courses.

*There are 7 core courses throughout MC242.

 
COURSE REQUISITES 

You are required to successfully complete relevant prerequisites in the program in order to progress to the next stage of your studies. Please ensure that you have met the necessary prerequisites by checking course guides

 


CONTACT STEM COLLEGE 
 
For any enquiries, please visit STEM College Student Lifecycle for contact information and support. 

- Program and course advice and planning 
- Flexible semester courses 
- Enrolment variation 
- Credit transfer applications and Recognition of prior learning 
- Results, program completion and graduation 

 

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Year One of Program

Year One Core Courses are Applied Analytic (MATH1324), Data Wrangling (MATH2349), Database Concept (ISYS1055)

Important: Some core and elective courses are not offered every year. We strongly encourage you to check program information on the MC242 Program Canvas or please contact the program manager 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. This is not a core course for your program.

 

2024 Semester 1 Commencing Students

Please enrol into the following courses:

Semester 1, 2024

  • Applied Analytic MATH1324(core),
  • Data Wrangling MATH2349(core),
  • ISYS1055 Database Concept(core),
  • Introduction to Statistical Computing MATH1322 (elective) or Essential Mathematics MATH2267(elective)

Semester 2, 2024

  • Data Visualisation and Communication MATH2270 (core),
  • Math or non-Science elective from the available courses in the list,
  • Math or non-Science elective from the available courses in the list,
  • Math or non-Science elective from the available courses in the list

 

2024 Mid Year Commencing Students

Please enrol into the following courses:

Semester 2, 2024

  • Applied Analytics MATH1324(core),
  • Data Wrangling MATH2349(core),
  • Database Concepts ISYS1055 (core),
  • Introduction to Statistical Computing MATH1322 (elective) or Essential Mathematics MATH2267(elective)

Complete the following Three (3) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Applied Analytics 12 Yes MATH1324 City Campus 1199 (STEM) 1186 (STEM)
Database Concepts 12 Yes ISYS1055 City Campus 1623 (STEM) 1600 (STEM)
Data Wrangling 12 Yes MATH2349 City Campus 1220 (STEM) 1203 (STEM)
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 Mathematics 12 MATH2267 City Campus 1214 (STEM) 1197 (STEM)
Data Visualisation and Communication 12 Yes MATH2270 City Campus 1215 (STEM) 1198 (STEM)
Machine Learning 12 Yes MATH2319 City Campus 1217 (STEM)
Time Series Analysis 12 Yes MATH1318 City Campus 1197 (STEM)
AND

Select and Complete up to 24 credit points from the following Courses (please note: if you chose 24 credit points in the above list then 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

Optimisation for Decision Making 12 Yes MATH2468 City Campus 2807 (STEM)
Applied Bayesian Statistics 12 Yes MATH2269 City Campus 2488 (STEM)
Design and Analysis of Experiments 12 Yes MATH1302 City Campus 2486 (STEM)
Multivariate Analysis Techniques 12 Yes MATH1309 City Campus 2513 (STEM)
Regression Analysis 12 Yes MATH1312 City Campus 1194 (STEM)
Statistical Inference 12 Yes MATH1315 City Campus 2485 (STEM)
Introduction to Statistical Computing 12 MATH1322 City Campus 1198 (STEM) 1185 (STEM)
AND

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

 
AND

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Year Two of Program

Year Two Core Courses are MATH1318, MATH2319, MATH2191.

Note: Some core and elective courses are not offered every year. We strongly encourage you to check  the MC242 Program Canvas or please contact the program leader via email for further assistance.

*MATH2219 Systems Simulation has changed the course name to Statistical Data Science 

Complete the following One (1) Course:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Applied Research Project 12 Yes MATH2191 City Campus 1208 (STEM) 1191 (STEM)
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 Visualisation and Communication 12 Yes MATH2270 City Campus 1215 (STEM) 1198 (STEM)
Machine Learning 12 Yes MATH2319 City Campus 1217 (STEM)
Time Series Analysis 12 Yes MATH1318 City Campus 1197 (STEM)
Essential Mathematics 12 MATH2267 City Campus 1214 (STEM) 1197 (STEM)
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

Optimisation for Decision Making 12 Yes MATH2468 City Campus 2807 (STEM)
Applied Bayesian Statistics 12 Yes MATH2269 City Campus 2488 (STEM)
Design and Analysis of Experiments 12 Yes MATH1302 City Campus 2486 (STEM)
Multivariate Analysis Techniques 12 Yes MATH1309 City Campus 2513 (STEM)
Regression Analysis 12 Yes MATH1312 City Campus 1194 (STEM)
Statistical Inference 12 Yes MATH1315 City Campus 2485 (STEM)
Minor Thesis 24 Yes MATH1332 City Campus 1118 (STEM) 1090 (STEM)
Introduction to Statistical Computing 12 MATH1322 City Campus 1198 (STEM) 1185 (STEM)
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

Fixed Income Securities and Credit Analysis 12 BAFI1065 City Campus 2030 2013
Financial Decision Making 12 BAFI1100 City Campus 2033 2015
Options, Futures and Risk Management 12 BAFI2081 City Campus 2034 2016
Artificial Intelligence 12 Yes COSC1125 City Campus 1558 (STEM)
Algorithms and Analysis 12 Yes COSC1285 City Campus 1587 (STEM) 1563 (STEM)
Advanced Programming 12 Yes COSC1295 City Campus 1588 (STEM) 1564 (STEM)
Data Mining 12 Yes COSC2111 City Campus 3461 (STEM)
Programming Fundamentals 12 Yes COSC2531 City Campus 1598 (STEM) 1574 (STEM)
Big Data Management 12 Yes COSC2636 City Campus 3401 (STEM)
Big Data Processing 12 Yes COSC2637 City Campus 1578 (STEM)
Cloud Computing 12 Yes COSC2640 City Campus 1602 (STEM)
Case Studies in Data Science 12 Yes COSC2669 City Campus 1579 (STEM)
Practical Data Science with Python 12 COSC2670 City Campus 1603 (STEM) 1580 (STEM)
Social Media and Networks Analytics 12 Yes COSC2671 City Campus 1581 (STEM)
Deep Learning 12 Yes COSC2779 City Campus 1586 (STEM)
Financial Econometrics 12 Yes ECON1195 City Campus 2043 2026
GIS Fundamentals 12 GEOM1159 City Campus 1170 (STEM) 1151 (STEM)
GIS Principles 12 Yes GEOM1163 City Campus 1152 (STEM)
Advanced GIS 12 Yes GEOM2151 City Campus 1179 (STEM)
GIS Analytics 12 Yes GEOM2152 City Campus 1180 (STEM)
Digital Risk Management and Information Security 12 INTE1002 City Campus 1816 1781
Digital Strategy 12 INTE1030 City Campus 1818 1783
Introduction to Information Security 12 INTE1120 City Campus 1174 (STEM)
Case Studies in Cyber Security 12 INTE1122 City Campus 1183 (STEM)
Information Systems Risk Management 12 Yes INTE2396 City Campus 3169 (STEM)
Business Systems Analysis and Design 12 ISYS2395 City Campus 1823 1787
Intelligent Enterprise Systems 12 ISYS2396 City Campus 1824
Risk Management and Feasibility 12 MANU1051 City Campus 1380 (STEM)
Engineering Economic Strategy 12 MANU1054 City Campus 1381 (STEM)
Sustainable Engineering Systems and Environment 12 MANU1381 City Campus 1366 (STEM)
Project Management 12 MANU2123 City Campus 1392 (STEM)
Optimisation for Decision Making 12 Yes MATH2468 City Campus 2807 (STEM)
Applied Bayesian Statistics 12 Yes MATH2269 City Campus 2488 (STEM)
Design and Analysis of Experiments 12 Yes MATH1302 City Campus 2486 (STEM)
Multivariate Analysis Techniques 12 Yes MATH1309 City Campus 2513 (STEM)
Regression Analysis 12 Yes MATH1312 City Campus 1194 (STEM)
Statistical Inference 12 Yes MATH1315 City Campus 2485 (STEM)
Introduction to Statistical Computing 12 MATH1322 City Campus 1198 (STEM) 1185 (STEM)
Marketing Management 12 MKTG1100 City Campus 2047 2030
Consumer Behaviour 12 Yes MKTG1101 City Campus 2048 2031
Interactive Marketing 12 Yes MKTG1105 City Campus 2051
Services Marketing 12 Yes MKTG1112 City Campus 2052
Business and Network Marketing 12 Yes MKTG1209 City Campus 2362
Supply Chain Principles 12 OMGT1021 City Campus 1829 1794
Supply Chain Modelling & Design 12 OMGT2087 City Campus 1830 1796
Supply Chain Sustainability 12 OMGT2190 City Campus 1832
Strategic Operations and Supply Chain Management 12 OMGT2191 City Campus 1833 1799
e Business Supply Chains 12 OMGT1236 City Campus 1795
Distribution and Freight Logistics 12 Yes OMGT1012 City Campus 2765
 

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Contact details and related links

Program structure enquiries

 

STEM College
For any enquiries, please see our STEM College Student Lifecycle hub for contact information and support.

 

https://www.rmit.edu.au/students/contact-and-help/school-and-college-contacts/stem-college

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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