Master of Science in Smart Manufacturing

Master (Coursework)

Programme Type

Full-time, Part-time

The manufacturing industry is undergoing another profound transformation towards “Smart Manufacturing”, characterized by Industry 4.0 and digitalisation. 

 

The Master of Science in Smart Manufacturing programme is aligned with Industry 4.0 and focuses on one of the four major pillars, that is, smart manufacturing including 3D Printing.

This programme aims to address the needs of the manufacturing sectors with key courses in Advanced Manufacturing. The programme equips graduates with a set of skills to manage manufacturing operations on a global scale, including methodologies and processes applicable to manufacturing systems.

30 AUs coursework or 24 AUs coursework and a dissertation.

Candidates must possess 

(A) A good bachelor’s degree in Mechanical or Industrial engineering or a related discipline with mathematical and production training, or 

(B)  A bachelor's degree in engineering or a related discipline with mathematical training and 2 years relevant industry experience, and

(C) A good TOEFL score (iBT = 100 or more, PBT = 600 or more, CBT = 250 or more) or IELTS score (6.5 or more) for graduates of universities in which English is not the medium of instruction.
Related disciplines include but are not limited to bachelor's programmes offered by the College of Engineering, Nanyang Technological University, Singapore.

Business graduates will also be considered if they have relevant specialisation and/or relevant experience; relevant experience needs to be supported by a letter from the employer.​

Applicants are recommended to also provide letters of reference and a clear statement of purpose in support of their application.​

By application, on a case-by-case basis.

Full time (1 year) and Part-Time (2 years).

OptionDescriptionNo. of CoursesCoreElectives
1Coursework and Dissertation8 Courses + Dissertation​ 4
4
2Coursework Only (*Default Option)10 Courses4
6

*Please note that ALL students will automatically be assigned the default Option 2 - Coursework Only. If you wish to apply for Option 1: Coursework and Dissertation, you must apply using the "Application for Conversion of Option of study" form.

Core Courses

Course CodeTitleAUsPrerequisite(s)SemesterAvailability to Exchange Students
M6236
Manufacturing Control and Automation
3
NIL
1
Yes, but subject to the School's approval & class availability 
​M6550​Laser and Optics in Smart Industry
​3​NIL​1​Yes, but subject to the School's approval & class availability 
​M6423​Prototype & Rapid Prototyping​3​NIL​2​Yes, but subject to the School's approval & class availability 
​MA6535​Management of Global Manufacturing​3​NIL​2​Yes, but subject to the School's approval & class availability 

 

Electives Courses

Course CodeTitleAUsPrerequisite(s)SemesterAvailability to Exchange Students
M6205Systems Simulation & Modeling3NIL1
Not Available
M6235Advanced Manufacturing Processes
3NIL1Yes, but subject to the School's approval & class availability
M6301Advanced Metrology and Sensing Systems3NIL2

Not Available
M6303Fundamentals of Precision Engineering3NIL2
Yes, but subject to the School's approval & class availability
M6421Advanced Design for Manufacturing
3NIL1Yes, but subject to the School's approval & class availability
M6551Machine Learning and Data Science3Background in programming, linear algebra, calculus and statistics2Yes, but subject to the School's approval & class availability
M6802Engineering Measurements3NIL2
Yes, but subject to the School's approval & class availability  
M6803Computational Methods in Engineering3NIL1
Yes, but subject to the School's approval & class availability  

Please note that the courses offered are subject to review every academic year.

 

 

Course Synopsis

Core Courses

M6236 Manufacturing Control and Automation

Taught by Professor Chen I-Ming, Assoc Prof Xie Ming and Assoc Prof Zhong Zhaowei  

The course covers the following sections: Manufacturing process modeling; Manufacturing automation: CNC / NC machines and industrial robots; Devices for manufacturing automation (drives, feedback sensors, control loops); Control methodologies applicable to manufacturing systems.

 

M6423 Prototype & Rapid Prototyping

Taught by Assoc Prof Yeong Wai Yee, Dr. Sing Swee Leong and Dr. An Jia  

The course covers the following sections: Introduction to prototyping; Soft and virtual prototyping; Fundamentals of rapid prototyping; Rapid prototyping systems; Rapid prototyping data format; Applications of rapid prototyping.

 

MA6535 Management of Global Manufacturing 

Taught by Assoc Prof Appa Iyer Sivakumar

The course covers the following sections: Introduction and overview; Global manufacturing operations: planning and implementation; Justification and evaluation of global manufacturing; Global manufacturing operations: management; Case study. 

 

M6550 Laser and Optics in Smart Industry

Taught by Assoc Prof Murukeshan Vadakke Matham ​

Basic knowledge in optics and lasers is very essential in Smart Manufacturing. The objectives of the course are to familiarize the learners with different optical and Laser concepts, light sources and how they can be applied in smart industry applications.

 

Elective Courses

M6205 Systems Simulation & Modelling

Taught by Assoc Prof Rajesh Piplani

The course covers the following sections: Discrete-event simulation; Basic model-building blocks; Simulation of global manufacturing facilities; System life cycle analysis; Simulation validation and verification; Continuous Simulation; Supply Chain Modelling; Simulation Case Study 

 

M6235 Advanced Manufacturing Processes 

Taught by Assoc Prof Zhou Wei and Assoc Prof Liu Erjia ​

The course covers the following sections: Manufacturing processes; Nature and various methods of raw materials for shaping; Emphasis on the link between the nature of the process to the shapes, dimensions, and properties that can be achieved; Case study.

 

M6301 Advanced Metrology and Sensing Systems

Taught by Assoc Prof Fan Zheng, David and Dr. Sidharthan Raghuranman

The course covers the following sections: International standards, linear and geometric tolerances; Surface, mechanical and optical metrology; Pneumatic and hydraulic devices for measurement; Transducers for in-processand post-process measurements, piezo devices, signal handling and processing, computer-aided-metrology, residualstress measurement; Scanning electron microscopy, atomic force microscopy and electron probe microanalysis.

 

M6303 Fundamentals of Precision Engineering 

Taught by Assoc Prof Yeo Swee Hock and Assoc Prof Murukeshan Vadakke Matham ​

The course covers the following sections: History of precision engineering. Principles and definitions of precision machine design; State-of-the-art in research, prototyping and full production from ultra-precision machining through micro-engineering, microelectronics and molecular manipulation; Application of displacement transducers to machines and instruments; Tolerance technology.

 

M6421 Advanced Design for Manufacturing 

Taught by Professor Lye Sun Woh, Dr. Lee Siang Guan, Stephen and Professor Lam Yee Cheong

The course covers the following sections: DFM principles and strategies; Classification system for manual, automatic and robotic assemblies; Evaluation of assembled parts; Analysing products for high-speed automatic assembly; Procedure for redesign; Design of parts for feeding and orienting; Vibratory and non-vibratory feeders; QFD process; Reliability analysis for product design; Selection of materials and processes; Design for repair and recycling.

 

M6551 Machine Learning and Data Science

Taught by Dr. Sim Siang Kok and Assoc Prof Leong Kah Fai

The purpose of this introductory course in Machine Learning (ML) is to show how to adopt ML as an important and essential paradigm in advancing a corporation’s operation and decision making processes towards Industry 4.0.

 

M6802 Engineering Measurements 

Taught by Assoc Prof Fan Zheng David and Dr. Suchand Sandeep

The course covers the following sections: Advanced principles of measurement that examine the static and dynamic characteristics of instruments; The design of measurement system through the application of sensing and signal conditioning elements for data acquisition; Overview of the operations of some specialised measurement systems which have important industrial applications; Advanced principles of measurements which examine the static and dynamic characteristics of instruments; The design of measurements system through the application of sensing and signal conditioning elements for data acquisition; An overview of the operations of some specialised measurements systems which have important industrial applications.

 

M6803 Computational Methods in Engineering 

Taught by Assoc Prof Lee Yong Tsui and Assoc Prof Li Hua ​

The course covers the following sections: Overview of computational requirements in engineering; Object modeling and algorithms; Optimisation; Approximation and Interpolation; Large-Scale Systems of Linear Equations; Numerical Differentiation; Numerical Integration; Numerical Methods for ODEs; Numerical Methods for PDEs.

The programme is tailored for practicing industrial engineers, supervisors and technologists employed or seeking employment in manufacturing sectors.

Admission application portal will be open from November to January.

The application outcome will be released between April to May.

The new Academic Year begins in August.


Fees and Financial Aid

Please note that this MSc programme is a non-MOE subsidised programme.

  S$
Application Fees

Non-refundable

(payable when you submit your application)

21.40

Programme Tuition Fees

(exclude GST)

Full programme

To attain an MSc in Smart Manufacturing, candidates must complete ten courses or eight courses and one dissertation

Fees are $4500 per course or $1500 per Academic Unit

45,000

Notes on payment of fees

Fees are subject to annual revision
Students will be billed at the commencement of each semester, and payment due date is 2 weeks after billing date.
A student who withdraws or leaves the University two or more weeks after the commencement of his candidature or the commencement of the semester is liable to pay the fees due for the semester.
For modes of payment, please refer to the Student Financial Services here.