Graduate Certificate in Data Science (Online)

Duration

As little as 8 months

Courses

4 courses

Study intakes

January, March, May, July, September and October

Study mode

100% Online

Program code

7446

Completion time dependent on individual study path, RPL, leave and course availability. Please speak to a Student Advisor for more information.

What you will study

UNSW’s Graduate Certificate in Data Science program is comprised of two core courses, plus the choice of two electives.

 

 

 

 

 

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
  • Foundations of Data Science
  • Principles of Programming
Elective courses

Plus, choose two available elective courses, ensuring pre-requisites are met and courses are available:

  • Big Data Management  
  • Data Visualisation and Communication  
  • Multivariate Analysis for Data Scientists  
  • Neural Networks, Deep Learning  
  • Decision Making in Analytics  
  • Data and Ethics
  • Bayesian Inference and Computation
  • Database Systems
  • Strategic Decision Making
Prerequisite courses
  • 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 and Decision Making in Analytics. 
  • 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 Graduate Certificate in Data Science, you must have either:

  1. Completed at a minimum an undergraduate degree in Data Science or cognate discipline (e.g., Computer Science, Economics, Mathematics, Statistics). OR
  2. Completed an undergraduate degree in a non-cognate discipline AND have sufficient Data Science background as indicated by an average of 65 or above across a minimum of three Level III courses in Mathematics and/or Statistics and/or Computer Science and/or Econometrics. OR
  3. Completed a degree in a non-cognate discipline AND have sufficient Data Science background as indicated by at least two years of experience in a data science or data analytics role.

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Related program

Prefer less statistics, machine learning and programming? Perhaps the Graduate Certificate in Analytics is for you.

If you're more interested in the financial applications of technology and programming - learn more about our Graduate Certificate in Financial Technology.

Analytics Financial Technology