Master of Data Science - The University of Sydney

Master of Data Science

Harness the power of data in any industry
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Overview

You will develop the analytical and technical skills to use data science to guide strategic decision making. Explore data mining, machine learning and data visualisation, and develop the skills to communicate data insights to key stakeholders effectively. Our Master of Data Science is tailored for...
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Key information

Duration

1.5 years full-time
(Available part-time)
Not available to student visa holders.

Location

The University of Sydney

Study mode

Face to face

Fees

Tuition fee information for the year selected is currently not available.

Additional info

Credit points
Total amount of credits points required to complete this course. All subjects have a credit point value to indicate their contribution towards completing the course.
72
MADATASC2000

What you’ll study

You will complete:

  • 3 x Data Science core subjects
  • 2 x Computing professional core subjects
  • 3 x Data Science specialist elective subjects
  • 1 x capstone project or research project
  • Elective or foundation units

You can choose to undertake one of the following specialisations as part of this degree:

Fees

Year 1

Indicative amount to complete the first 48 credit points

-

Tuition fee information for the year selected is currently not available.
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*How this is calculated

Admission criteria

1

Qualifications

Mandatory for course entry

To be eligible for admission, an applicant is required to have:

  • a three year Australian bachelor's degree in a cognate discipline that demonstrates a background in computer programming and statistics with a minimum credit average (65 percent), or
  • the University of Sydney Graduate Diploma in Data Science with a minimum credit average (65 percent), or a qualification deemed to be equivalent; or
  • completed 24 credit points of the University of Sydney Graduate Diploma in Data Science or Graduate Certificate in Data Science with a minimum credit average (65 percent). The 24 credit points must include 12 credit points of Data Science Core units and 12 credit points of Data Science specialist elective units. 

If you have the equivalent of an Australian AQF Level 8 degree or above in a cognate discipline, you may be eligible for a Reduced Volume of Learning (RVL) of up to 24 credit points or 0.5 years/1 semester.

What is a cognate discipline?

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2

English language requirements

Mandatory for course entry

You may need to provide evidence of your English proficiency to study with us. Find out which requirements are applicable to you below:

How to apply

Submit application

Submit an application through our portal.

Closing dates

Semester 1

31 January of the commencing year.

Semester 2

15 July of the commencing year.

Scholarship applications

Separate deadlines apply for scholarships.

View scholarship closing dates