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master

Degree

Master of Data Science ( Coursework )

Course code: #MC267

master

Degree

Master of Data Science ( Coursework )

Quick facts

  • Tuition

    $37,440 AUD

  • Application fee

    Free

  • Duration

    2 years

  • PSW

    2 years

  • Min GPA

    60 out of 100

  • CRICOS Code

    093313B

Options
Industry Project
Internship

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

Deadlines

Term start & deadline Deadline
Fall-February 02-March-2022 2022-03-02
Winter-July 30-June-2022 2022-06-30
Fall-February 31-January-2023 2023-01-31
Winter-July 30-June-2023 2023-06-30

Overview

Master of Data Science

Data science has been called the “sexiest job of the 21st century” and those who can manage and make sense of data will undoubtedly take on some of the most important roles in the information age.

We live in a data-driven world that’s generating huge volumes of information at ever-increasing rates via: 

Social media, financial transactions, transportation, and scientific discovery. Consequently, an understanding of data is a top priority for all of us – whether you’re in business, government, or individually as citizens and consumers.

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

Specialists develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. 

Data science also puts an emphasis on the specialised computational skills required to manage and analyse big data from sources such as social media, massive sensors, mobile and transaction data. 

It enables businesses to gain a competitive edge, governments to deliver more targeted services, and research teams to make new discoveries.

Data science and its analysis could appeal to people from a broad range of backgrounds, such as graduates from computing, mathematics, science, engineering or health.

Through this degree, you'll build a mix of skills in analytics, statistics and computer science that will enable you to be central to business decision-making, corporate strategy and government planning. 

This prepares graduates for a career in a field that is driving scientific research, economic growth, public policy and corporate strategy, using technologies to aid the management and analysis of very big data sets.

This degree also provides opportunities to experience an industry project where you’ll undertake a capstone project giving you hands-on, practical experience analysing data in a business setting. 

Working within a corporate environment, you’ll integrate the knowledge you’ve acquired throughout the course into a solid skills base to take into your professional life.

Exposure to theoretical knowledge and practical expertise means that graduates of the Master of Data Science have the potential to become influential leaders within their organisations.

The real-world focus of this program provides an excellent networking environment that can lead to internship and industry-led project opportunities.

Industry connections

The degree has substantial links with the data science profession and related areas of industry, both in Australia and internationally.

The subjects are taught by academics with strong research backgrounds and links to industry, as well as sessional teachers, guest lecturers and leaders working in industry.

Note: You will not need to pay any application fee but some of African countries will need to deposit of AU$100 application fee.

Estimate your cost

Residency
Count of person

$37,440

Total costs

yearly

Details


Cost of living 1 person $8,316
Accommodation 1 bed room 0
Tuition 1 person $37,440

Hourly wage

Min wage

21.38 AUD / 1 hour

in Australia every student can work 40 hour per fortnight

Required documents

  1. Academic/Official Transcripts
  2. Language Proficiency (If Applicable)
  3. Passport or Visa Documents (If Applicable)
  4. Official translations of documents in a language other than English
  5. 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 degree in computing, science, engineering, health, or statistics with a GPA of at least 2.0 (60 - 69%) out of 4.0, or equivalent.

OR 

  • You may also be considered if you have an Australian bachelor 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 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/Developer
  • Data Analyst
  • Data Architect
  • Data Engineer
  • Data Miner
  • Research Scientist
  • Web Analyst

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