MSc in Industrial Automation & Machine Learning
Programme Details
Type of Programme
Post-graduate taught degree, face-to-face lessons.
Intake
- January (PT), September (PT and FT)
Programme Duration
- Full time: 12 months
- Part-time: 24 months
Course Code
- Till Sept 2021 intake: 5452P (PT), 5452F (FT)
- Jan 2022 onwards: 5451P (PT)
Mode of Study
- Classroom (evening and Saturday classes)
Minimum Entry Requirements
- 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 Requirement
English Language Entry Requirements : IELTS overall 6.5 or equivalent
Exemption: You do not need to prove your English ability if you meet one of the criteria in this page.
Fees & Funding
For more information on Fees & Funding, please refer to Fees, Funding, and Student Contract
Learning Outcomes
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.
Modules
The table below shows all the modules covered in the degree, all of which are core units of the programme.
SN | Module Code | Module Title |
1 | NUS8301 | Industrial Control Systems |
2 | NUS8302 | Electro-Mechanical Systems and Systems Safety |
3 | NUS8303 | Embedded Systems and IIoT |
4 | NUS8304 | Programming for Automation |
5 | NUS8305 | Mathematical Foundations of Machine Learning |
6 | NUS8306 | Data Analytics using Machine Learning |
7 | NUS8307 | Project Dissertation – I |
8 | NUS8308 | Project Dissertation – II |
How to Apply
The application process:
- Prospective candidates are required to email newriis.research@newcastle.ac.uk to schedule an online Pre-application Counselling session or visit Newcastle Research & Innovation Institute (NewRIIS) for a Pre-application Counselling session.
(i) Kindly email the NewRIIS team for an appointment.
(ii) Please bring along the following original documents for verification when you visit NewRIIS
- NRIC or Passport
- highest academic qualification
- testimonials
- updated CV - Online application
(i) Before applying, please prepare the following documents/items
- correct programme code (please check with PG Programme Administrator/Coordinator, if you are unsure)
- scanned verified educational documents
- updated CV
- personal statement
(ii) Create account for online application
(iii) Apply online
For more information or clarifications, please email the NewRIIS team at newriis.research@newcastle.ac.uk.