Master of Data Science (Online)


2 years


12 courses

Study intakes

July, September, October, January, March and May

Study mode

100% Online

Program code


What you will study

The Master of Data Science comprises 12 courses – six compulsory and six electives. There is also the option to study the Graduate Certificate in Data Science or the Graduate Diploma in Data Science, which combined – and with the addition of the electives and capstone course – create the masters program.


The UNSW Online experience

We are here to support you, every step of the way, to graduate from one of the world’s leading universities. Our online learning environment has been designed to seamlessly fit into your already busy schedule and you’ll be able to access course resources on any device, at any time. 

Our academics are some of the best in the world and, even though you’re studying online, you can expect your learning experience to be the same high standard as that of our on-campus students. 

Throughout your study journey, you will be able to turn to your Student Success Advisor, who is committed to assisting you from enrolment through to graduation. They are on-hand for all non-academic queries by phone or email. 



Core courses
  • Principles of Programming
  • Foundations of Data Science
  • Statistical Inference
  • Data Mining and Machine Learning
  • Regression Analysis
  • Capstone Data Science Project





Elective courses

Plus, six electives from the following courses (one of which must be from the * course):

  • Big Data Management*
  • Data Visualisation and Communication*
  • Multivariate Analysis for Data Scientists*
  • Neural Networks, Deep Learning
  • Bayesian Inference and Computation
  • Decision Making in Analytics
  • Data and Ethics
  • Strategic Decision Making
  • Database Systems
  • Principles of Programming
  • Foundations of Data Science
  • Statistical Inference for Data Scientists

Principles of Programming is a prerequisite for Data Mining & Machine Learning, Neural Networks, Deep Learning & Big Data Management.

Foundations of Data Science is a prerequisite for Regression Analysis for Data Scientists, Data Visualisation and Communication & Multivariate Analysis for Data Scientists.

Statistical Inference for Data Scientists is a prerequisite for Regression Analysis for Data Scientists & Multivariate Analysis for Data Scientists.

Entry requirements

General admission requirements

To be eligible for the Master of Data Science you must have:


  1. Completed the Graduate Diploma in Data Science with a WAM of 65 or higher  OR
  2. Completed an undergraduate degree in Data Science or cognate discipline (e.g., Computer Science, Economics, Mathematics, Statistics) AND  have sufficient Data Science background as indicated by an average mark of  70  or above across three Level III courses in Mathematics and/or Statistics and/or Computer Science and/or Econometrics. 

Advanced standing or exemption can be granted in the program for cases where core courses were completed in a prior program.

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Related program

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