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Business and Information Technology● OpenMastersPreview

Master of Business Analytics

Develop practical data science and machine learning skills to solve complex business problems.

Best for:Best for students seeking to bridge the gap between technical data science skills and business strategy.

Victoria University (VU) · City Campus, Australia · R1 · First-stage researcher
More professors at Victoria University (VU)
Data ScienceMachine LearningBusiness IntelligencePredictive AnalyticsCloud TechnologyData Governance
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
unknown
Location
City Campus
Australia

Overview

The Master of Business Analytics at Victoria University is a coursework-based programme designed to equip students with the technical and strategic skills required to leverage data for business success. Students will explore core principles of data science, machine learning, and artificial intelligence while gaining hands-on experience with industry-standard tools like R, Python, AWS, and SAP. The curriculum emphasizes the application of these technologies to real-world business challenges, including data security, predictive analytics, and IT project management. Graduates will build a professional portfolio of projects, supported by strong industry connections and mentorship opportunities.

Business AnalyticsData VisualizationArtificial IntelligenceBig DataIT Project ManagementData Mining

What you'll do

  • Master the principles of data wrangling and advanced data visualization techniques.
  • Apply machine learning and AI models to generate actionable business insights.
  • Manage IT projects using industry-standard methodologies and cloud platforms.
  • Develop a comprehensive portfolio of data-driven projects for professional job applications.
  • Engage with industry experts and mentors through the Postgraduate Data Analytics association.
  • Implement data security and governance protocols within business environments.

Requirements

Degree required: Australian Bachelor degree (or equivalent) in any discipline, or an Australian Graduate Diploma in a similar discipline.

Degree offered: Master of Business Analytics

Language: English; IELTS (or equivalent) overall score of 6.5 with no band less than 6.0.

Instruction: English

Required skills
  • Foundational understanding of data analysis concepts.
  • Ability to work with open-source environments such as R and Python.
  • Capacity to engage with cloud-based infrastructure like AWS.
  • Proficiency in English language standards.
Nice to have
Prior experience in business or IT-related roles.Familiarity with enterprise software platforms like SAP.Experience with data mining or warehousing projects.
Eligibility
  • Completion of an Australian Bachelor degree or equivalent.
  • Completion of an Australian Graduate Diploma in a similar discipline for non-related Bachelor degrees.

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

Interested applicants should visit the official Victoria University course page to review specific entry requirements and submission procedures. Applications are processed through the university's international student portal.

Documents required
  • Academic transcripts
  • Proof of English proficiency
  • CV
↗Check programme and admissions
Lab
College of Business
Victoria University (VU)
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.