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Data Science and Information Technology● OpenMastersPreview

Master of Data Science

A multidisciplinary master’s programme equipping graduates from any field with expertise in big data and data-driven decision-making.

Best for:Best for professionals or graduates from any discipline seeking to transition into data science, with an interest in leveraging big data for business and technological innovation.

University of Southern Queensland (UniSQ) · Online, Australia
More professors at University of Southern Queensland (UniSQ)
Big Data AnalyticsData-Driven Decision MakingInformation Technology ApplicationsData Interpretation and VisualizationContemporary Data Challenges
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Full-time
Location
Online
Australia

Overview

The Master of Data Science at the University of Southern Queensland is designed for graduates across all disciplines, offering foundational knowledge in big data technologies. This programme focuses on extracting actionable insights from raw data to drive innovation in product development, service improvement, and business strategy. Students will develop independent and collaborative problem-solving skills, applying key information and communication technology (ICT) tools and data science methodologies. The curriculum emphasizes critical analysis of contemporary issues in a global market, preparing graduates to tackle real-world challenges with data-driven approaches.

Data ScienceBig DataData AnalyticsInformation TechnologyData-Driven InsightsCoursework Master’sGlobal Market ApplicationsCollaborative Problem-Solving

What you'll do

  • Develop and apply key ICT and data science technologies to interpret major theories and solve contemporary issues in a global market.
  • Work independently and collaboratively to analyze and extract insights from raw data.
  • Apply data science methodologies to inform the development of new products, improved services, and innovative business models.
  • Critically investigate and address core data-related challenges in diverse industries.
  • Engage in practical projects that bridge theoretical knowledge with real-world applications.

Requirements

Degree required: Completion of an Australian university three-year Bachelor degree in any field or equivalent, or a minimum of five years professional work experience equivalent to a bachelor qualification (AQF Level 7).

Language: English proficiency (assumed for international applicants based on admission standards).

Instruction: English

Required skills
  • Proven ability to complete a Bachelor degree or equivalent professional experience.
  • Basic proficiency in information technology and data handling.
Nice to have
Prior exposure to data analysis or related fields.Interest in leveraging data for business innovation.
Eligibility
  • Open to international applicants.
  • No specific nationality restrictions.

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
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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 directly through the University of Southern Queensland’s official portal. The process involves submitting academic transcripts, proof of professional experience (if applicable), and meeting the English language requirements if not from an English-speaking country. Additional application materials may be requested.

Documents required
  • CV or resume
  • Academic transcripts (Bachelor degree or equivalent)
  • Proof of professional work experience (if applicable)
  • English proficiency test results (if required)
↗Check programme and admissions

Contact

Lab
Information Technology
University of Southern Queensland (UniSQ)
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.