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MSc in Industrial Automation and Machine Learning (Singapore)
We provide MSc in Industrial Automation and Machine Learning (Singapore). We will wholeheartedly provide you with the best quality educational resources and support. We are committed to helping every student achieve greater success in this professional field and lay a solid foundation for future career development.
MSc in Industrial Automation and Machine Learning (Singapore)

  

About the course

The programme aims to produce graduates who have developed well-grounded knowledge and skills in industrial automation and machine learning so that they are able to bridge gaps that exist while building cyber-physical systems.

  A successful student will gain and be able to demonstrate:

  Readiness for the digital industrial revolution (Industry 4.0) and are readily employable.

  Bridging the gap in the industry that exists between Engineers who understand the physical systems and Data Scientists.

  Meeting the needs of the local industry and to enable the local work force to upskill and/or reskill so that they can make better decisions by analysing data for better business and technological decisions.

  Appropriate transferable and practical skills in computer programming, data collection and analysis, problem formulation and solving skills, project management and communication skills.

  Collaboration with fellow students via dissertation from other domains so as to carry out large inter-disciplinary projects by integrating individual components/modules. Scholarships - View all scholarships Internships

  

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

  Duration: 1 Year(s)Fees: Not available

Intake Location
Spring (January), 2024 Singapore
Autumn (September), 2024 Singapore
Spring (January), 2025 Singapore
Autumn (September), 2025 Singapore
Spring (January), 2026 Singapore
Autumn (September), 2026 Singapore
Spring (January), 2027 Singapore

  

How to apply

Entry requirements for Newcastle University

Second class lower (2.2) in relevant engineering, science or other relevant degree qualification OR

  Diploma in Engineering (all disciplines) / Science (Mathematics, Statistics or Physics) / Business Analytics (Data Analytics) with at least 8 years of experience in the industry in addition to being at least 30 years old

  Students should demonstrate that they have some computer programming experience either in terms of a module that they studied, or knowledge obtained via their hands-on experiences in their job.

  English Language Entry Requirements : IELTS overall 6.5 or equivalent

  TOEFL IBT: score of 90 with a minimum of

  Reading - 18

  Writing - 17

  Listening - 17

  Speaking - 20

  Pearson Test of English Academic: Score of 62 with a minimum sub-score of 59

  

English language requirements

  6.5

  Overall IELTS band score

  Book IELTS

  About IELTS

  Practice and prepare

  TOEFL Internet based overall score: 90.0

  

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

  

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at Newcastle University. If you want to find out more, please speak to our counsellors.

  Pathway options to study at this institution

  

Reviews and rankings

World ranking

  168th / 1250

  THE World ranking30th / 130

  Complete University guide

  

What our students think

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