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:

1. 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
   
   
2. 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.