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.
Admission Information
Month of Intake : Every August
Online Application Period : November to January
Admissions Application period for August 2023 intake : 1 November 2022 - 31 January 2023
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.
Admissions Application period for August 2023 intake : 1 November 2022 - 31 January 2023
Full-Time (min. 1 year, max. 2 years) and Part-Time (min. 2 years, max. 4 years);
30 AUs coursework or 24 AUs coursework and a dissertation
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.
Core Courses
Course Code | Title | AUs | Prerequisite(s) | Semester | Availability to Exchange Students |
---|---|---|---|---|---|
MA6501 | Manufacturing Control and Automation | 3 | NIL | 1 | Yes, but subject to the School's approval & class availability |
MA6502 | Fundamentals and Advances in Additive Manufacturing | 3 | NIL | 2 | Yes, but subject to the School's approval & class availability |
MA6503 | Laser and Optics in Smart Industry | 3 | NIL | 1 | Yes, but subject to the School's approval & class availability |
MA6504 | Management of Global Manufacturing | 3 | NIL | 2 | Yes, but subject to the School's approval & class availability |
Elective Courses
Course Code | Title | AUs | Prerequisite(s) | Semester | Availability to Exchange Students |
---|---|---|---|---|---|
MA6511 | Advanced Manufacturing Processes | 3 | NIL | 1 | Yes, but subject to the School's approval & class availability |
MA6512 | Fundamentals of Precision Engineering | 3 | NIL | 2 | Yes, but subject to the School's approval & class availability |
MA6513 | Advanced Design for Manufacturing | 3 | NIL | 1 | Yes, but subject to the School's approval & class availability |
MA6514 | 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 |
MA6515 | 3D Printing of Electronics | 3 | NIL | 1 | Yes, but subject to the School's approval & class availability |
MA6715 | Systems Simulation & Modeling | 3 | NIL | 1 | Not Available |
MA6802 | Engineering Measurements | 3 | NIL | 2 | Yes, but subject to the School's approval & class availability |
MA6803 | 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.
Course Synopsis
Core Courses
MA6501 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.
MA6502 Fundamentals and Advances in Additive Manufacturing
Taught by Assoc Prof Yeong Wai Yee, Dr Sing Swee Leong and Dr An Jia
The course covers the following sections: An introduction to additive manufacturing processes and systems based on ASTM/ISO standards; Design and applications in various high value industries including aerospace, biomedical and manufacturing; Current potentials and challenges in additive manufacturing for industrial 4.0.
MA6503 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.
MA6504 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.
Elective Courses
MA6511 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.
MA6512 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.
MA6513 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.
MA6514 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.
MA6515 3D Printing of Electronics
Taught by Assoc Prof Yeong Wai Yee and Assoc Prof Tuan Tran
The course covers the fundamental topics that are essential for 3D printing of electronics and smart sensors. It is suitable to prepare students for the future of smart and advanced manufacturing techniques. And this course provides a comprehensive overview of the recent progress and discusses the fundamentals of the 3D printed electronics technologies, their respective advantages, shortcomings and potential applications.
MA6715 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.
MA6802 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.
MA6803 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.
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 |
Deposit Payment (The deposit will be used to offset the semester 1 tuition fees after matriculation) | Non-refundable (payable upon acceptance of offer of admission) | 1000 |
Programme Tuition Fee (Full Programme) Exclusive of GST | Singapore Citizen (SC) | 36,000 |
Singapore Permanent Resident (SPR) | 40,500 | |
International Student (IS) | 45,000 | |
Programme Tuition Fee (per AU) Exclusive of GST | Singapore Citizen (SC) | 1200 |
Singapore Permanent Resident (SPR) | 1350 | |
International Student (IS) | 1500 |
To attain an MSc in Smart Manufacturing, candidates must complete ten courses, or eight courses and dissertation.
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.