University of New South Wales

Graduate Certificate in Data Science

  • Delivery: Online
  • Study Level: Postgraduate
  • Duration: 8 months
  • Course Type: Graduate Certificate

Explore the foundations of data science and learn how to collect, analyse and communicate data insights that support real-world problem solving.

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  • Course structure
  • Learning outcomes
  • Fees
  • Entry requirements

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Course overview

Data is shaping how organisations solve problems, identify opportunities and make decisions across almost every industry. The Graduate Certificate in Data Science is designed for professionals looking to build a strong foundation in data science by developing the analytical, statistical and programming knowledge needed to work confidently with data in a wide range of professional settings.

Rather than focusing on individual technologies alone, the program develops an understanding of the complete data lifecycle, from working with data and applying statistical techniques to interpreting results and communicating insights effectively. As your knowledge grows, you'll strengthen your ability to approach complex problems with evidence-based thinking and apply data science principles to practical business and industry challenges.

Delivered 100% online and completed part-time over eight months, the program provides a direct pathway to the Graduate Diploma and Master of Data Science. Combining core technical foundations with practical analytical capability, it offers a structured introduction to one of today's fastest-growing professional fields.

Key facts

Delivery
Online
Course Type
Graduate Certificate
Duration
8 months (Part time)
Price Per Unit
From $5,130
More Information
The estimated fee is determined by individual units of study and the year the course was commenced.
Intake
24th August, 2026
19th October, 2026
11th January, 2027
8th March, 2027
3rd May, 2027
28th June, 2027
23rd August, 2027
18th October, 2027
Units
More Information
You may be required to complete 0 credit point units throughout your course. The university will confirm this as part of your enrolment.

The unit total reflects the number of units required for course completion, not the total credit point weight. Some units may be double- or triple-weighted, so the number of units you complete may be lower.
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Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

To earn the Graduate Certificate in Data Science, you must successfully complete four courses from the following:

Core units
  • Foundations of Data Science
  • Principles of Programming
Elective units
Prerequisite units

Entry requirements

Academic requirements

To be eligible for the Graduate Certificate in Data Science, applicants must have one of the following:

  • Completed at a minimum an undergraduate degree in Data Science or a cognate discipline (e.g., Computer Science, Economics, Mathematics, Statistics).
  • 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.
  • 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.

English language requirements

You may need to provide evidence of your English language proficiency to study at UNSW, depending on your educational background and citizenship. UNSW requires a minimum level of English language competency for enrolment. English language skills are essential for webinar comprehension and the completion of coursework, assignments and examinations.

If English is not your first language, you will need to provide proof of your English proficiency before you will be given an offer to study at UNSW. You can do this by providing evidence that you meet one or more of the following criteria:

  • English language tests and university English courses.
  • Prior study in the medium of English.
  • Other qualifications.
  • English waivers.

Contact the university or visit their website for more information.

Recognition of Prior Learning

You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help reduce the number of units you need to study to finish your course. Contact the university for more information.

Outcomes

Career outcomes

  • Data Science Analyst
  • Machine Learning Engineer
  • Data Engineer
  • Business Intelligence Analyst
  • Data Visualisation Specialist
  • Big Data Analyst
  • Statistical Programmer
  • Data Systems Administrator

Fees and FEE-HELP

Indicative annual fee in 2026: $20,500  (Full-fee paying place)

Indicative annual fees are based on your first year of study.

A student’s annual fee may vary by:

  • The number of units studied.
  • Choice of units.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.