Program Master of Engineering - Smart manufacturing engineering Monash University

Master of Engineering - Smart manufacturing engineering

Australia

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1

Apa yang akan saya pelajari?

Enhance your knowledge and transform your career by equipping yourself with cutting-edge skills in connecting systems and data to drive innovation and manage quality in smart manufacturing.Gain expertise and hands-on experience in robotics and automation, AI and neural networks and cyber-physical systems for optimising lean processes and outcomes.The dynamic and transformative field of smart manufacturing offers businesses unprecedented opportunities to enhance productivity, reduce costs, and improve overall competitiveness.You’ll learn to optimise production systems, improve efficiency and drive innovation by harnessing the power of advanced technologies like artificial intelligence, machine learning, robotics and cyber-physical connectedness.Use digital twin technology to simulate an entire production facility, optimising layouts, resource allocation, and workflow efficiency. Or harness and analyse real-time data to forecast equipment maintenance needs, reducing downtime.

CRICOS

104589A

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah
A$60.740,00 (Rp 627.250.101) per tahun
Accommodation Cost - Halls of Residence- $353.15 per week
Batas akhir pendaftaran

Direncanakan April 2027

Tanggal mulai

Juli 2027

Tempat

Clayton Campus

Wellington Road,

Clayton,

Victoria,

3800, Melbourne, Australia

Purna Waktu (1 tahun)

Biaya kuliah
A$60.740,00 (Rp 627.250.101) per tahun
Accommodation Cost - Halls of Residence- $353.15 per week
Batas akhir pendaftaran

01/11/2026

Tanggal mulai

Maret 2027

Tempat

Clayton Campus

Wellington Road,

Clayton,

Victoria,

3800, Melbourne, Australia

Persyaratan masuk

Untuk mahasiswa internasional

An Australian Bachelor of Engineering* degree (or equivalent) in a discipline relating to the specialisation to be studied within the Master course as approved by the Faculty, with at least high credit (65%) average

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