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postgraduate

Degree

Master of Data Science (Coursework)

Course code: #MC267

postgraduate

Degree

Master of Data Science (Coursework)

Quick facts

  • Annual tuition (2024)

    $39,360 AUD

  • Application fee

    Free

  • Duration

    2 years

  • PSW

    2 years

  • Min GPA

    60 out of 100

  • CRICOS code

    093313B

Options
Capstone Project

These items are optional and you can choose them as you wish after applying for the course.

Deadlines

Term start& deadline Deadline
Fall-March 06-March-2024 2024-03-06
Winter-July 24-July-2024 2024-07-24
Fall-March 06-March-2025 2025-03-06
Winter-July 24-July-2025 2025-07-24

Overview

Master of Data Science

Gain the skills to navigate huge volumes of data generated via social media, financial transactions, transportation and scientific discovery as a data scientist.

This interdisciplinary field of data science combines computer science with mathematical statistics and domain expertise to manage and analyse data. 

As a data scientist, you'll develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. 

Data science at RMIT also emphasises the specialised computational skills required to manage and analyse big data from massive sensors and mobile and transaction data sources.

Through data science, businesses gain a competitive edge, governments deliver more targeted services and research teams make new discoveries.

During this degree, you’ll have the opportunity to experience a capstone industry project, giving you hands-on, practical experience analysing data in a business setting. 

Estimate your cost

Residency
Count of person

$39,360

Total costs

yearly

Details


Cost of living 1 person $10,212
Accommodation 1 bed room 0
Tuition 1 person $39,360

Hourly wage

Min wage

23.23 AUD / 1 hour

in Australia every student can work 48 hour per fortnight

Required documents

  • Academic/Official Transcripts
  • Language Proficiency (If Applicable)
  • Passport or Visa Documents (If Applicable)
  • Official translations of documents in a language other than English
  • Graduation/completion certificates

Note: Documents must be certified.

Language requirements

GRE
not required
GMAT
not required

IELTS

6.5
6
listening
6
writing
6
speaking
6
reading

TOEFL

79
12
listening
21
writing
18
speaking
13
reading

PTE

58
50
listening
50
writing
50
speaking
50
reading

Cambridge

176
169
listening
169
writing
169
speaking
169
reading
Language pathway (conditional offer) is available

If you don't meet the English language test scores Complete an English for Academic Purposes (EAP) Advanced Plus Certificate at RMIT English Worldwide as follows:

RMIT English Worldwide (REW):

REW courses are available in 6 levels with Entry requirements as follow:

REW levels of study  Elementary 
(10 weeks)  
Pre-Intermediate
(10 weeks)  
Intermediate 
(10 weeks)  
Upper-Intermediate 
(10 weeks)  
Advanced 
(10 weeks) 
Advanced Plus 
(10 weeks) 
IELTS  / IELTS Indicator
 
3.5 
no band <3.0  
4.0 
no band
<3.5  
4.5 
no band
< 4.0  
5.0 
no band
<4.5  
5.5 
no band
<5.0  
6.0 
No band 
<5.5 
TOEFL iBT   / TOEFL iBT® Special Home Edition28  30  33  40  (Minimum: Listening 3, Reading 3, Speaking 12, Writing 12)50  (Minimum: Listening 5, Reading 5, Speaking 14, Writing 15)60  (Minimum: Listening 9, Reading 10, Speaking 16, Writing 19)
PTE 23  30  33  36  42  50  
CAE----162169

Academic background and requirement

You must have:

  • An Australian bachelor's degree in computing, science, engineering, health, or statistics with a GPA of at least 2.0 out of 4.0, or equivalent. (60 - 69%)

OR 

  • You may also be considered if you have an Australian bachelor's degree with a GPA of at least 2.0 out of 4.0, or equivalent and; relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum of three years’ of current, relevant work experience or professional practice as a programmer, statistician or equivalent.

International qualifications are assessed for comparability to Australian qualifications according to the Australian Qualifications Framework (AQF).

Career opportunities

  • Data Scientist
  • Analytics Specialist
  • Business Intelligence Analyst
  • Business Intelligence Developer
  • Data Analyst
  • Data Architect
  • Data Engineer
  • Data Miner
  • Research Scientist
  • Web Analyst

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