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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:

Our team is available during Australian business hours, 9 am to 5 pm.

For other UOW contact details, click here.

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

Our team is available during Australian business hours, 9 am to 5 pm.

For other UOW contact details, click here.

Applicants can apply directly to UOW. You may be required to have scans or electronic copies of the following documents ready to attach to your application:

  • Academic qualifications relevant to your application
  • English proficiency evidence (if required)
  • Evidence of your citizenship, passport, or permanent residency status

Before you apply, please check the UOW course entry requirements, intake dates, and closing dates for your chosen degree.

International students are encouraged to apply with the support of an approved UOW agent. An agent can help navigate the application process and ensure that you submit all necessary documentation. For your nearest agent, please see our agent list.

Alternatively, if you would like to apply directly (without an agent), you can start the process through our Apply Online portal. Please note, some applicants will not be eligible to apply directly and will be prompted to apply via an agent.

Before starting your application, review the entry requirements, intake dates, and deadlines for your chosen degree at UOW. International students should also be aware of both UOW's general English language requirements and the English proficiency standards required for a student visa.

Need help?

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
Starts
  • Autumn 2024
  • Spring 2024
Codes
UAC: 932057
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
  • Domestic applicants with overseas qualifications

    If you have completed or partially completed studies at an approved university or tertiary institution, you may be eligible for entry to UOW. You'll need to provide academic records, and your course must be at least one-sixth complete. Non-English documents must include an official English translation. For more information, contact the UOW Future Students Team.

  • English language proficiency

    All UOW courses are taught in English and require varying levels of proficiency. If English is not your first language, you must meet the University’s English Language Requirements, which differ by course.

    Accepted international test results include IELTS, TOEFL, PTE, Cambridge, and OET for specific health-related courses.

    Alternatively, you can fulfill the requirement by completing an English course at UOW College.

  • Workload

    Full-Time Study Load

    As a full-time student, you can expect to commit around 48 hours of study per week. This includes class time and independent study. You may need to factor more time for examination study and practical work & placements.

    Part-Time Study Load

    For part-time students, study hours will vary based on the number of units taken, with similar expectations for class and independent study.

    For more details on course workloads, please refer to the UOW Handbook.

  • Credit for Prior Learning

    If you have completed prior studies or relevant professional experience, you can request course credit or subject exemptions to reduce the duration and cost of your program.

    Credit for prior learning evaluates your previous study or work experience related to your chosen subjects.

    UOW values lifelong learning and recognizes various types of prior learning, regardless of how or where it was obtained. For more information, refer to UOW's Credit for Prior Learning page.

More detail

Course fees table
Campus Delivery method Session fee* Course fee*
WollongongOn CampusFee not available (2024)Fee not available (2024)
WollongongOn CampusFee not available (2025)Fee not available (2025)
UOW Online WollongongDistanceFee not available (2025)Fee not available (2025)
UOW Online WollongongDistanceFee not available (2024)Fee not available (2024)

* 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.

  • Autumn, 2025 at Wollongong

    Orientation: 24 - 27 February 2025
    Session: 03 March - 27 June 2025

    Applications Close

    • Domestic Applicants (Direct): 31 December 2024*
    • International Applicants: This course is not available to international applicants.

    *Complete applications (with all required documentation) received by this date will receive an outcome prior to the start of session.

    Applications received after this date will continue to be assessed for the requested session until start of session. Late applications may be assessed for future sessions if an outcome for the requested session is not available.

  • Spring, 2025 at Wollongong

    Orientation: 14 July 2025
    Session: 28 July - 20 November 2025

    Applications Close

    • Domestic Applicants (Direct): 31 May 2025*
    • International Applicants: This course is not available to international applicants.

    *Complete applications (with all required documentation) received by this date will receive an outcome prior to the start of session.

    Applications received after this date will continue to be assessed for the requested session until start of session. Late applications may be assessed for future sessions if an outcome for the requested session is not available.

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