MC267 - Master of Data Science

Go to Student Program Guide Search

RMIT program code: MC267
Plan name: Master of Data Science
Plan code: MC267
Campus: City Campus
Credit points per semester:
Full time: 48
Part time: 24
CRICOS code: 093313B

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
 

VERY IMPORTANT:

Administrative Essentials -

If you are transferring from another program or eligible for credit transfer/advanced standing, please lodge an RMIT Connect online query via myRMIT student portal to organise credit transfer.  Please do this before you enrol in your courses but after you complete the enrolment checklist.  On successful outcome, a customised study plan will be issued to you which you must follow.

Local Direct/internal Applicants: If you require assistance with your program enrolment, please come to our Enrolment Information Session that will be held in Building 12 Level 10 Room 2 at 1:30pm on Wednesday, 5 July 2017.

Note:

  • For local students, please submit the credit transfer form along with supporting documents as per the RMIT credit transfer procedure when lodging your RMIT Connect query.
  • Non-compliance to your study plan can result in delay of graduation and/or need to take additional courses.

 

Induction and Orientation Essentials -

Before starting your courses in your program, you are strongly advised to complete the Academic Integrity module and the Lab/Unix Induction program. These skills are essential.

 

Program Structure Summary -

***Important enrolment information for Semester 2, 2017:

Please enrol in MATH2270 Data Visualisation of class number 1117 instead of COSC2668 Data Visualization and Communication.  COSC2668 is not running in Semester 2, 2017.

 

To exit with MC267 Master of Data Science you must successfully complete year one and year two of the program, which may include up to four courses awarded as credit/exempted.

 

*Top of page


Year One of Program

Please note: all courses listed may not be available each semester.

Complete the following Six (6) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Practical Data Science12YesCOSC2670City Campus1728
Programming Fundamentals12YesCOSC2531City Campus17301678
Database Concepts12YesISYS1055City Campus17053356
Introduction to Statistics12YesMATH1324City Campus11611098
Introduction to Statistical Computing12MATH1322City Campus11601097
Advanced Programming12YesCOSC1295City Campus16871643
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

Big Data Infrastructures12YesCOSC2636City Campus1694
Data Visualization and Communication12YesCOSC2668City Campus1657
Legal, Ethical and Policy Issues in Data Science12YesCOSC2669City Campus1671
 
AND

*Top of page


Year Two of Program

Please note: all Year 2 courses will be available in 2018.

 

{

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

Big Data Infrastructures12YesCOSC2636City Campus1694
Data Visualization and Communication12YesCOSC2668City Campus1657
Legal, Ethical and Policy Issues in Data Science12YesCOSC2669City Campus1671
AND

Complete the following One (1) Course:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Data Science Postgraduate Project24COSC2667City Campus3536
AND

Select and Complete Four (4) of the following Program Option Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Algorithms and Analysis12YesCOSC1285City Campus16911645
Data Mining12YesCOSC2111City Campus1656
Database Systems12YesCOSC2407City Campus1707
Data Visualisation12YesMATH2270City Campus1117
Forecasting12YesMATH1307City Campus1109
Information Retrieval12YesISYS1078City Campus1715
Regression Analysis12YesMATH1312City Campus1164
Time Series Analysis12YesMATH1318City Campus1165
 

*Top of page



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.

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.

Policies

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

*Top of page