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.
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.
Full time (1 year) and Part-Time (2 years).
|Option||Description||No. of Courses||Core||Electives|
|1||Coursework and Dissertation||8 Courses + Dissertation||4||4|
|2||Coursework Only (*Default Option)||10 Courses||4||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.
|Course Code||Title||AUs||Prerequisite(s)||Semester||Availability 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|
|Course Code||Title||AUs||Prerequisite(s)||Semester||Availability to Exchange Students|
|M6205||Systems Simulation & Modeling||3||NIL||1||Not Available|
|M6235||Advanced Manufacturing Processes||3||NIL||1||Yes, but subject to the School's approval & class availability|
|M6301||Advanced Metrology and Sensing Systems||3||NIL||2||Not Available|
|M6303||Fundamentals of Precision Engineering||3||NIL||2||Yes, but subject to the School's approval & class availability|
|M6421||Advanced Design for Manufacturing||3||NIL||1||Yes, but subject to the School's approval & class availability|
|M6551||Machine Learning and Data Science||3||Background in programming, linear algebra, calculus and statistics||2||Yes, but subject to the School's approval & class availability|
|M6802||Engineering Measurements||3||NIL||2||Yes, but subject to the School's approval & class availability |
|M6803||Computational Methods in Engineering||3||NIL||1||Yes, but subject to the School's approval & class availability |
Please note that the courses offered are subject to review every academic year.
M6236 Manufacturing Control and Automation
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.
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.
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.
(payable when you submit your application)
Programme Tuition Fees
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
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.