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Data, Information, and Knowledge● OpenMastersPreview

Master of Data Analytics

A master’s programme equipping professionals with advanced data analytics skills for enterprise solutions and evidence-based decision-making.

Best for:Best for professionals with a bachelor’s degree seeking to specialise in data analytics, enterprise systems, and technology-driven organisational solutions.

CQUniversity Australia · Online Study, Australia
More professors at CQUniversity Australia
enterprise information systemsdata modellingdata visualisationdata analysisbusiness intelligenceevidence-based decision-making
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Location
Online Study
Australia

Overview

The Master of Data Analytics at CQUniversity Australia is a coursework-based programme designed to provide students with a comprehensive understanding of enterprise systems and analytics. It focuses on leveraging modern data analytics tools and techniques to develop technology-enabled solutions that enhance organisational performance. Students will gain expertise in data modelling, visualisation, and analysis, enabling them to implement information systems and support evidence-based decision-making. The programme also covers operations, ethics, and management of enterprise information systems, preparing graduates for advanced careers in data-driven industries.

data analyticsenterprise systemsdata modellingdata visualisationbusiness analyticsinformation systemsdata-driven decision-makingtechnology-enabled solutions

What you'll do

  • Develop and implement data-driven solutions to support organisational objectives.
  • Apply advanced data modelling and visualisation techniques to analyse business environments.
  • Contribute to the design and management of enterprise information systems.
  • Leverage contemporary data analytics tools to enhance management and organisational performance.
  • Support evidence-based decision-making processes within organisations.
  • Analyse and manage changes required to implement information systems effectively.

Requirements

Degree required: A completed Australian Qualifications Framework (AQF) equivalent Bachelor degree or higher equivalent qualification

Language: English proficiency as outlined on the course page

Instruction: English

Required skills
  • Proficient use of data analytics tools and techniques
  • Ability to model and visualise data for business applications
  • Understanding of enterprise information systems and their management
  • Analytical skills to support evidence-based decision-making
Eligibility
  • Must meet English Language Proficiency Requirements as specified by the university
  • No restrictions on nationality or residency

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: unknown

Applicants must apply through the official CQUniversity portal. The process involves submitting an application form, providing proof of degree completion, and meeting English proficiency requirements. Additional documents may be required as specified on the course page.

Documents required
  • Proof of completed Bachelor degree or equivalent
  • English Language Proficiency documentation
  • Application form
↗Check programme and admissions

Contact

Lab
School of Engineering and Technology
CQUniversity Australia
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.