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Manufacturing and Data Analytics● OpenMastersPreview

Master of Advanced Manufacturing with Data Analytics

A cutting-edge master’s programme integrating data science with sustainable manufacturing systems.

Best for:Best for engineers, data analysts, and industry professionals aiming to specialise in sustainable manufacturing and data-driven process optimisation.

Queensland University of Technology (QUT) · Brisbane, Australia
More professors at Queensland University of Technology (QUT)
Advanced manufacturing systemsData-driven process optimisationSustainable and circular manufacturingIndustrial automationDigital transformation in manufacturing
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Full-time
Location
Brisbane
Australia

Overview

This master’s programme at Queensland University of Technology (QUT) focuses on designing, optimising, and improving modern manufacturing systems using emerging technologies. Students will explore data-driven approaches to create holistic and circular manufacturing processes, addressing global sustainability challenges. The curriculum blends advanced manufacturing techniques with data analytics to prepare graduates for roles at the intersection of industry and innovation. Ideal for professionals seeking to bridge technical and analytical skills in a rapidly evolving field.

Advanced ManufacturingData AnalyticsIndustrial AutomationSustainable ManufacturingProcess OptimisationDigital TransformationManufacturing SystemsCircular Economy

What you'll do

  • Design and optimise modern manufacturing systems using advanced technologies and data analytics.
  • Apply data-driven methodologies to improve efficiency, sustainability, and productivity in manufacturing processes.
  • Develop solutions for circular and holistic manufacturing approaches to address global sustainability challenges.
  • Collaborate on interdisciplinary projects integrating engineering, data science, and industry best practices.
  • Conduct research and develop innovative strategies for integrating new technologies into manufacturing workflows.

Requirements

Degree required: Bachelor’s degree in Engineering, Data Science, Computer Science, or a related field (requirements may vary by country).

Language: English proficiency (IELTS 6.5 or equivalent).

Instruction: English

Required skills
  • Basic understanding of manufacturing processes and systems.
  • Familiarity with data analytics tools and techniques.
  • Problem-solving and analytical skills.
  • Ability to work in interdisciplinary teams.
Nice to have
Experience with programming languages such as Python or R.Knowledge of machine learning or artificial intelligence applications.Background in sustainability or circular economy principles.
Eligibility
  • Requirements may vary depending on country of origin.
  • No specific age or residency restrictions mentioned.

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 directly through the Queensland University of Technology’s official portal. The application process typically involves submitting academic transcripts, a personal statement, and proof of English proficiency. Additional documents may be required based on eligibility.

Documents required
  • Academic transcripts (Bachelor’s degree and any relevant postgraduate studies)
  • Personal statement or research proposal
  • Proof of English proficiency (e.g., IELTS or TOEFL scores)
  • Curriculum Vitae (CV)
↗Check programme and admissions

Contact

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