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Graduate Certificate in Principles of Data Science

Become a strategic thinker. Drive business decisions. Expand your skillset.

For personalised assistance with UOW courses, please reach out to our Future Students Team:

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Contact the UOW Future Students Team:

For more details about this course

Australia: 1300 367 869. International: +61 2 4221 3218

Student ?
Domestic
Campus ?
Delivery ?
On Campus
Duration
6 months full-time, or part-time equivalent
Code
UOW: 3150

Overview

Data analytics is increasingly being used to inform and drive business decisions at both an operational and strategic level.

The Graduate Certificate in Principles of Data Science provides foundation knowledge in data management, analysis and programing to improve data-driven decision-making in any organisation.

Students will study subjects in statistics, random variables, machine learning, data management, and programming.

The subjects provide an understanding of how to apply knowledge of statistics, programming, and data management to prepare, manipulate, analyse and interpret large data sets. Students will learn how to think strategically and communicate this information to inform decision-making.

The graduate certificate provides a pathway into other studies of data science.

This course may lead to specific related career disciplines in business and data analytics, data science, and statistics.

See the course handbook for more information. 

Fee subsidised places available

UOW is offering Commonwealth supported places (CSPs) for all of our postgraduate coursework degrees in 2025. This means the Australian government will subsidise your tuition fees by up to 75%. To be eligible for this fee subsidy, you must meet the following criteria: Be a domestic student, i.e. an Australian or New Zealand citizen, a permanent resident of Australia or a permanent Australian Humanitarian visa holder.

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Careers

  • Applied Research Scientist
  • Biometrician
  • Business Forecaster
  • Data Analyst and Scientist
  • Data Visualisation and Analytics Developer
  • Digital Business Translator
  • Financial Modeller and Analyst
  • Machine Learning Engineer
  • Operations Researcher
  • Statistician
  • Transport Analyst and Modeller
See more

Admissions information

A range of admission options are available for students of all ages and academic backgrounds. The procedures governing admission are defined in UOW's Admissions Procedures, and the UOW College Admissions Policy.

For specific advice or to ask any questions regarding an application, please contact the UOW Future Students Team.

A recognised bachelor’s degree containing subjects in quantitative methods,
OR
A recognised bachelor’s degree in any discipline and at least two years of experience in a data science or data analytics role.
Examples of quantitative methods subjects at UOW include:

  • MATH255: Mathematics for Computing
  • STAT252: Statistics for the Natural Sciences

More detail

Course fees table
Campus Delivery method Session fee* Course fee*
WollongongOn CampusFee not available (2025)Fee not available (2025)
UOW Online WollongongDistanceFee not available (2025)Fee not available (2025)
WollongongOn CampusFee not available (2026)Fee not available (2026)
UOW Online WollongongDistanceFee not available (2026)Fee not available (2026)

* Session fees are for one session for the year shown. Total course tuition fees shown are indicative, and are based on normal course length and progression. These fees are subject to change from year to year. However, if you receive an offer to study at UOW, your fees will be fully confirmed at the time of your offer.