Deakin University

Graduate Certificate of Data Analytics

  • Delivery: Online
  • Study Level: Postgraduate
  • Duration: 6 months
  • Course Type: Graduate Certificate

Explore data wrangling, real-world analytics and mathematics for artificial intelligence while learning to evaluate information and design data-driven solutions for different organisational needs.

Course overview

Deakin University’s Graduate Certificate of Data Analytics develops the technical and analytical foundations needed to work with increasingly complex data. Designed for students with a computing background or professionals seeking a recognised qualification, the course prepares you to apply data analytics across different organisational contexts.

You will explore real-world analytics, data wrangling and the mathematical foundations of artificial intelligence. The course also examines areas such as data security, privacy, research and development while strengthening your ability to assess information and design appropriate analytics solutions.

An elective enables you to extend your knowledge through machine learning, statistical data analysis, modern data science or Bayesian learning and graphical models. You will learn to select and use digital technologies, communicate analytical findings and approach data collection, processing and presentation responsibly.

The course can be completed online in six months of full-time study or the part-time equivalent. Graduates may explore data analytics opportunities across a wide range of industries or use their completed credit points towards Deakin’s Master of Data Science or Master of Data Science (Professional).

CSP Subsidised Fees Available

This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.

Key facts

Delivery
Online
Course Type
Graduate Certificate
Duration
More Information
Can be studied part time
6 months (Full time)
Price Per Unit
From $4,300
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The estimated fee is determined by individual units of study and the year the course was commenced.

From $1,051 (CSP)
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You may be eligible for CSP where the government pays part of your fees. Fees are determined by individual units of study and the year the course was commenced.
Intake
November, 2026
February, 2027
June, 2027
October, 2027
Units
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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 and HECS loans are available to assist eligible full-fee paying domestic students with the cost of a university program.
FEE-HELP, HECS, CSP

What you will study

To earn the Graduate Certificate of Data Analytics, you must successfully complete units totalling 4 credit points, as detailed below. Unless otherwise noted, each course is worth 1 credit point.

Core units

  • Real World Analytics
  • Data Wrangling
  • Mathematics for Artificial Intelligence

Elective units

Select 1 credit point from the following:

  • Machine Learning
  • Statistical Data Analysis
  • Modern Data Science
  • Bayesian Learning and Graphical Models

Entry requirements

Academic requirements

To be eligible for this course, applicants must meet at least one of the following requirements:

  • Hold a bachelor's degree or higher in a related discipline.
  • Hold a bachelor's degree or higher in any discipline and have at least two years of relevant work experience or the part-time equivalent.

A related discipline may include the broad field of information technology.

Academic history, work and life experience and individual circumstances may also be considered. Meeting the minimum requirements does not guarantee admission.

English language requirements

Applicants must provide evidence of at least one of the following:

  • A bachelor degree from a recognised English-speaking country.
  • An IELTS overall score of 6.5, with no band score below 6.0, or an accepted equivalent.
  • Other accepted evidence of English-language proficiency.

Contact the university for further 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

Learning outcomes

  • Develop data analytics solutions based on user requirements by applying foundational knowledge of real world analytics concepts and technologies.
  • Communicate in a professional context to inform, explain and drive sustainable innovation through data science and to motivate and effect change, utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences.
  • Identify, select and use digital technologies, platforms, frameworks, and tools from the field of data science to generate, manage, process and share digital resources.
  • Evaluate and critically analyse information provided and their sources to inform decision making and evaluation of plans and solutions associated with the field of data analytics.
  • Apply advanced cognitive, technical, and creative skills from data science to understand requirements and design, implement, operate, and evaluate solutions to real-world and ill-defined computing problems.
  • Work independently to apply knowledge and skills to new situations in research and professional practice and/or further learning in the field of data science with adaptability, autonomy, responsibility, and personal accountability for actions as a practitioner and a learner.
  • Apply professional and ethical standards and accountability in the field of data analytics, and openly and respectfully collaborate with diverse communities and cultures.

Career outcomes

Deakin's Graduate Certificate of Data Analytics prepares students for professional employment as data analytics specialists across all sectors. 

Data analysts may find employment with organisations that make data-driven decisions in areas including:

  • Software development
  • Pharmaceutical discovery
  • Marketing
  • Consulting
  • Manufacturing
  • Financial services,
  • Telecoms
  • E-commerce
  • Retail
  • Health care
  • Public services
  • Information security

Fees and CSP

Indicative annual fee in 2026: $4,204 (Commonwealth Supported Place)

Indicative annual fee in 2026: $17,200 (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.

Commonwealth Supported Places

The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.

If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower.

Limited CSP spaces are offered to students enrolled in selected postgraduate courses.

Your student contribution amount is:

  • Calculated per the course you're enrolled in.
  • Dependent on the study areas they relate to.
  • Reviewed and adjusted each year.

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

HECS-HELP loans are available to CSP students to pay the student contribution amount.

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