Updating Results

QUT (Queensland University of Technology)

  • 17% international / 83% domestic

Graduate Certificate in Data Analytics

  • Graduate Certificate

Design analyses and translate data into insights using the latest methodologies and industry knowledge.

Key details

Degree Type
Graduate Certificate
Duration
6 years full-time, 2 years part-time
Course Code
098600K
Study Mode
In person
Intake Months
Feb, Jul

About this course

Highlights
  • NEW: This course now offers Commonwealth Supported Places which makes it over 60% more affordable. Eligibility criteria applies.
  • Be at the cutting edge of a highly sought-after capability that can be applied across industries.
  • Translate data into insight and intelligence to be able to drive change and make key decisions.
  • Design the analyses of problems; produce data visualisations; develop and validate appropriate statistical and machine learning models; and incorporate analyses into solution pipelines.
  • Learn from expert academics and leading researchers who apply data science and data analytics to a range of real-world challenges, and who have world-wide industry connections.
Highlights
  • Be at the cutting edge of a highly sought-after capability that can be applied across industries.
  • Translate data into insight and intelligence to be able to drive change and make key decisions.
  • Design the analyses of problems; produce data visualisations; develop and validate appropriate statistical and machine learning models; and incorporate analyses into solution pipelines.
  • Learn from expert academics and leading researchers who apply data science and data analytics to a range of real-world challenges, and who have world-wide industry connections.

Entry requirements

Entry requirements

You must have one of:

  • A recognised bachelor degree (or higher qualification) in any discipline; or
  • A recognised diploma (or higher qualification) in any discipline followed by at least two years full-time (or equivalent) professional work experience as an analyst and/or in the information technology field; or
  • At least five years full-time (or equivalent) professional work experience as an analyst and/or in the information technology field.

A recognised bachelor degree (or higher qualification) in any discipline.

Study locations

Gardens Point

What you will learn

This course will prepare you for a future-focused career in the fast-paced ever-changing world of data analytics. With a collaborative curriculum across disciplines you'll not only learn theories and methods but you'll apply that knowledge to predict forecast visualise and make decisions in a range of applied areas.

You'll study data analytics for information professionals with an opportunity to further your knowledge in additional fields such as statistical data analysis programming fundamentals data manipulation or business process modelling.

Career pathways

Careers and outcomes

You'll graduate with professional skills in the general application of data analytics and you'll have the necessary knowledge to work in a range of industries.

This degree can serve as a pathway to the Master of Data Analytics where you may specialise in areas of data analytics data systems development or data-driven decision making.

Possible careers
  • Data analyst
  • Data analytics specialist
  • Data systems developer
  • Data-driven decision maker

Course structure

You must complete 48 credit points of course units consisting of:

  • 1 core unit (12 credit points)
  • 36 credit points of elective units selected from an approved list.

You must complete 48 credit points of course units consisting of:

  • 1 core unit (12 credit points)
  • 36 credit points of elective units selected from an approved list.

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at QUT (Queensland University of Technology).
79%
Overall satisfaction
86.8%
Skill scale
67.4%
Teaching scale
71.4%
Employed full-time
$85.6k
Average salary