Master of Robotics and Automation Engineering
12 monthsProgramme duration
52,842 NZDTuition Fee/year
04 Jul, 2025Application Deadline
Mar, JulStarting Month
Programme overview
Main Subject
Engineering - General
Degree
Other
Study Level
Masters
Study Mode
On Campus
As the world of work evolves, we see a growing need for expertise in the robotics and automation field – in Aotearoa and globally. This is based on their widespread applicability in many industries, including healthcare, agriculture and manufacturing. The MRobotEng aims to produce graduates with the knowledge to develop, deploy and support these technologies at advanced levels, for years to come.
Many of our teaching staff are well-recognised experts in the field, and are a part of the University’s Centre for Automation and Robotic Engineering Science, who boast collaborations with industry and researchers at a global scale. This ensures that our courses are kept up-to-date with recent real-world applications, as well as containing direct insights into the emerging technologies available here in New Zealand.
Our history of interdisciplinary collaborations also means that you will have opportunities to participate in projects with a variety of industry partners. While this is a primarily taught programme, there is a valuable, distinctive research component that will let you demonstrate your ability to apply theoretical principles to applicable real-life scenarios. You will also be exposed to hands-on work to gain the theoretical and practical knowledge necessary to thrive in this sector.
Programme overview
Main Subject
Engineering - General
Degree
Other
Study Level
Masters
Study Mode
On Campus
As the world of work evolves, we see a growing need for expertise in the robotics and automation field – in Aotearoa and globally. This is based on their widespread applicability in many industries, including healthcare, agriculture and manufacturing. The MRobotEng aims to produce graduates with the knowledge to develop, deploy and support these technologies at advanced levels, for years to come.
Many of our teaching staff are well-recognised experts in the field, and are a part of the University’s Centre for Automation and Robotic Engineering Science, who boast collaborations with industry and researchers at a global scale. This ensures that our courses are kept up-to-date with recent real-world applications, as well as containing direct insights into the emerging technologies available here in New Zealand.
Our history of interdisciplinary collaborations also means that you will have opportunities to participate in projects with a variety of industry partners. While this is a primarily taught programme, there is a valuable, distinctive research component that will let you demonstrate your ability to apply theoretical principles to applicable real-life scenarios. You will also be exposed to hands-on work to gain the theoretical and practical knowledge necessary to thrive in this sector.
Admission Requirements
You must have completed a BE or BE(Hons) in a relevant subject with a Grade Point Average of 4.0 in 120 points above Stage III.
Or
Completed the Degree of Bachelor of Engineering or Bachelor of Engineering (Honours) from this University; and, passed 60 points in the Postgraduate Certificate in Engineering in a relevant subject or (b) passed 60 points in the Postgraduate Certificate in Engineering in a relevant subject or Postgraduate Diploma in Engineering in a relevant subject or Postgraduate Certificate in Robotics and Automation or Postgraduate Diploma in Robotics and Automation from this University with a Grade Point Average of 4.0 or higher, provided that the postgraduate certificate or postgraduate diploma has not been awarded.
Or
Completed a relevant Bachelors degree from this University with a Grade Point Average of 4.0 or higher in 75 points above Stage II; and, at least three years of relevant professional experience approved by the Dean of Faculty of Engineering.
Note: Whether a degree is considered relevant will depend on the courses passed. Degrees or subjects in applied science, bioengineering, computer science, data science, electrical engineering, electronic engineering, information technology, mechatronics, science, or technology may be considered relevant.
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