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Deakin University

  • 21% international / 79% domestic

Master of Data Science

  • Masters (Coursework)

Deakin's Master of Data Science prepares students for professional employment across all sectors.

Key details

Degree Type
Masters (Coursework)
Course Code
S777, 099225J
Intake Months
Jun, Oct

About this course

Deakin's Master of Data Science prepares students for professional employment across all sectors. The sheer volume and complexity of data already at the fingertips of businesses and research organisations gives rise to challenges that must be solved by tomorrow's graduates and modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions.

Throughout your studies you'll gain the technical skills to harness the power of data through artificial intelligence and machine learning to develop innovative solutions to the important challenges being faced by industry and governments.

With a growing demand for data specialists in every sector, you'll be able to help organisations manage risk, optimise performance and add a competitive advantage through the increasing volumes of data collection.

Want to become a data science specialist capable of using data to learn insights and support decision making?

The Master of Data Science, prepares students to understand the various origins of data to be used for analysis, combined with methods to manage, organise and manipulate data within regulatory, ethical and security constraints. You'll develop specialised skills in categorising and transferring raw data into meaningful information for the benefit of prediction and robust decision-making.

As a graduate, your knowledge, skills and competencies in modern data science and statistical analysis will be highly valued by employers seeking greater efficiencies and competitive advantage through data insights.

Through the Master of Data Science course, you can choose to undertake an industry placement or internship as part of your degree. Industry placements provide you with an opportunity to develop the practical and job-ready skills employers are looking for and enable you to build professional networks before graduating.

Entry requirements

Admission to study postgraduate coursework at Deakin is based on your professional experience and previous academic qualifications. Depending on your prior experience, your course will be:

1 year full time (2 years part time) - 8 credit points

Admission is based on:

  • Bachelor's Honours (AQF8) degree in a related discipline
  • Bachelor's degree in a related discipline, plus two years relevant work experience
  • Graduate Certificate of Data Science (or equivalent)
  • Evidence of academic capability judged to be equivalent

1.5 years full time (3 years part time) - 12 credit points

Admissions is based on:

  • Bachelor's degree in a related discipline
  • Bachelor's degree in any discipline, plus two years relevant work experience
  • Graduate Certificate of Data Analytics or equivalent
  • Evidence of academic capability judged to be equivalent

2 years full time (4 years part time) - 16 credit points

Admissions is based on:

  • Bachelor's degree or other qualification at a higher AQF level in any discipline
  • Evidence of academic capability judged to be equivalent

Deakin University offers admission to postgraduate courses through a number of Admission categories.

All applicants must meet the minimum English language requirements.

Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.

For more information on the Admission Criteria and Selection (Higher Education Courses) Policy visit the Deakin Policy Library

Career pathways

Graduates of this course may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business analysts, management advisors, management analysts, business advisors and strategists, marketing managers, market research analysts and marketing specialists.

Course structure

To complete the Master of Data Science, you will complete 8, 12 or 16 credit points, depending on your prior experience.

The course is structured in three parts:

  • Part A. Fundamental Data Analytics Studies (4 credit points),
  • Part B. Introductory Data Science Studies (4 credit points), and
  • Part C. Mastery Data Science Studies (8 credit points).

Depending upon prior qualifications and/or experience, you may receive credit for Parts A and B.

Note that if you are eligible for credit for prior studies you may elect not to receive the credit.

Students are required to meet the University's academic progress and conduct requirements. Click here for more information.

Credit for prior study or work

The University aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations. Students are required to complete a minimum of one-third of the course at Deakin University, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed at Deakin.

You can also refer to the Recognition of Prior Learning System which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.

Recognition of Prior Learning may be granted for relevant postgraduate studies, in accordance with standard University procedures.

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at Deakin University.
79.2%
Overall satisfaction
80.8%
Skill scale
65.2%
Teaching scale
88.8%
Employed full-time
$110k
Average salary