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postgraduate

Degree

Master of Data Science (Coursework)

postgraduate

Degree

Master of Data Science (Coursework)

It looks like the University no longer offers this program.

Quick facts

  • Annual tuition (2022)

    $44,256 AUD

  • Application fee

    $100 AUD

  • Duration

    2 years

  • PSW

    2 years

  • Min GPA

    50 out of 100

  • CRICOS code

    092791B

Options
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 30-November-2022 2022-11-30
Winter-July 31-May-2023 2023-05-31
Fall-February 30-November-2023 2023-11-30
Winter-July 31-May-2024 2024-05-31

Overview

Master of Data Science

The Harvard Business Review has labelled data science the "sexiest job of the 21st century".

If they meant that jobs in data science are increasing dramatically, that data scientists can work in fields as diverse as health, retail or ecology, and that data scientists are commanding high salaries, then they were spot on.

After all, it's creating more than 2.5 exabytes of data every day. Someone needs to make sense of it all.

You'll enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline.

If you’d like to gain more real-world experience, you can choose to complete an internship in a science or technology-related workplace for course credit.

Estimate your cost

Residency
Count of person

$63,956

Total costs

yearly

Details


Cost of living 1 person $10,212
Accommodation 1 bed room $19,700
Tuition 1 person $44,256

Hourly wage

Min wage

23.23 AUD / 1 hour

in Australia every student can work 48 hour per fortnight

Required documents

  • Academic/Official Transcripts
  • Proof of English Language Proficiency (If Applicable)
  • Passport or Visa Documents
  • Official translations of documents in a language other than English
  • Personal Statements, Portfolios or Results from Aptitude Tests may also be required

Language requirements

GRE
not required
GMAT
not required

IELTS

6.5
6
listening
6
writing
6
speaking
6
reading

TOEFL

79
13
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

Qualified postgraduate and undergraduate applicants to the Faculty of Engineering and Information Technology with the following English language results may be eligible for the pathway options:

 

CourseDirect EntryIELTS (Academic)TOEFL (internet-based test)Pearson Test of English (Academic)
UMELBP Prep
(10 weeks)
N/A5.5 (no band less than 5.0)46 + writing 14; speaking 14; reading 4; listening 542 with no communicative skill below 36
UMELBP
(10 weeks)
Successful completion of UMELBP Prep6.0 (no band less than 5.5)60 + writing 18; speaking 16; reading 8; listening 750 with no communicative skill below 42

 

Exclusions

Research students are not eligible for UMELBP.


Academic background and requirement

To be considered for entry, you must have completed:

  • 1- An undergraduate degree with a major in a relevant discipline (computer science, data science or statistics) with a weighted average mark (WAM) of at least 65 per cent, and
  • 2- 12.5 points (one subject) of university-level computer science (or equivalent) with content focused on computer programming, and
  • Both the following subjects (or their equivalents):
    • MAST10006 Calculus 2
    • MAST10007 Linear Algebra.

Single subject study:

The University’s Community Access Program allows you to undertake single-subject study without enrolling in a course. 

You can complete prerequisite subjects that you need to qualify for entry via the Community Access Program and then apply for this course.

Offered through the Community Access Program (CAP), you'll be taught by expert teachers and researchers and can choose from a wide range of subjects both at an undergraduate and graduate level. 

Career opportunities

The graduates go on to work as data scientists and analystssoftware engineers, data infrastructure engineers, business intelligence analysts and statisticians.

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