Master of Science in Supply Chain Engineering

Master (Coursework)

Programme Type

Full-time, Part-time

The supply chain industry is one of the key service sectors driving the development of Singapore as a critical hub in the global supply chains. 

As globalization drives multi-national companies to expand across the region, supply chains that Singapore based companies are part of have become even more complex, demanding a higher level of skill-set to design, analyze and manage them. The M.Sc. (Supply Chain Engineering) program aims to address the needs of both the manufacturing and service sectors with an integrated and comprehensive program in Supply Chain Engineering, equipping graduates with the right set of skills to manage end-to-end order fulfilment, including procurement and inventory management. The program also provides the candidates an appreciation of the role logistics functions, such as distribution, warehousing and transportation, play in facilitating the supply chain.

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 

Option to complete 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 at least 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  

Credit Transfer of PaCE@NTU courses

  • Transfer of credits is by application and the application will be assessed and approved by the School and Graduate College.
  • The academic units earned through PaCE@NTU are valid for five (5) years for transfer of credits to a relevant/adjoining Master’s by Coursework programme. 
  • The academic units that are approved for transfer of credits are not included in the computation of Grade Point Average (GPA) for the Masters programme. 
  • The minimum Grade Point Average (GPA) eligible for transfer of credits is 2.5 (C+) for the candidates who complete PaCE courses by May 2022 or earlier. 
  • The minimum Grade Point Average (GPA) eligible for transfer of credits is 3.0 (B-) for each short course for the candidates who start PaCE courses from May 2022 onwards and the mapping of the courses can be referenced here: Mapping FM courses to MSc SCE



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

#Full-time students choosing the dissertation option typically require 1.5 years instead of 1 year to graduate.

*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 CodeTitleAUsPrerequisitesSemesterAvailability to Exchange Students
MA6701Quantitative Methods for Operations Analysis3NIL1Yes, but subject to the School's approval & class availability
MA6702Corporate Resource Planning3NIL2Yes, but subject to the School's approval & class availability
MA6703Supply Chain Analysis and Design3Recommended - L6002
2Not Available
MA6704Management of Logistics Functions3NIL1Yes, but subject to the School's approval & class availability


Course CodeTitleAUsPrerequisitesSemesterAvailability to Exchange Students
MA6504Management of Global Manufacturing3NIL2Yes, but subject to the School's approval & class availability
MA6514Machine Learning and Data Science3

Recommended -

Background in programming, linear algebra, calculus, statistics

2Yes, but subject to the School's approval & class availability
MA6712Procurement & Supplier Development3NIL1Yes, but subject to the School's approval & class availability 
MA6715Systems Simulation & Modeling3NIL1Not Available
MA6716Manufacturing and Service Operations Management3NIL1Yes, but subject to the School's approval & class availability
MA6731System Reliability & Risk Analysis3NIL2Yes, but subject to the School's approval & class availability
MA6741Quality Engineering3NIL2Yes, but subject to the School's approval & class availability
MA6811Product Design & Development3NIL1Yes, but subject to the School's approval & class availability

Please note that the courses available to exchange students are subject to change every academic year. 

Course Synopsis


MA6701 Quantitative Methods for Operations Analysis

Taught by Dr. Chen Songlin and Assoc Prof Rajesh Piplani

The course covers the following topics: Probability and Statistical Concepts; Sampling Methods; Statistical Inference: Estimation, Hypothesis Testing. Goodness-of-fit Tests; Non-Parametric Procedures; Regression Analysis; Optimisation Techniques for Solving Logistics Problems; Linear and Integer Programming; Network Flow Analysis; Queuing Theory; Computer Applications.

MA6702 Corporate Resource Planning

Taught by Assoc Prof Rajesh Piplani and Dr Kaushik Ghatak

The course covers the following topics:  Manufacturing Planning and Control framework, Enterprise Resource Planning, Demand Management, Sales and Operations Planning, Master Production Planning, Material Requirements Planning, Distribution Requirement Planning, Capacity Planning, Advanced Concepts in MRP and SOP.

MA6703 Supply Chain Analysis & Design

Taught by Assoc Prof Rajesh Piplani 

The course covers the following topics: Supply chain management: issues and challenges, risk pooling; Value of information; Multi-echelon inventory management; Supply chain integration: push-pull supply chain; Supply chain drivers and metrics; SC performance measurement; Supply network design: pipeline inventory consideration in supply chains; Inventory-transportation trade-off; Supply contracts; Risks in global supply chains and supply chain strategies.

MA6704 Management of Logistics Functions

Taught by Mr Kenneth Tan Siah Ann & Dr Lum Kit Meng

This course will provide the students with knowledge on the management of three main logistics functions: freight management, warehousing management and distribution management. Topics covered include: Introduction to Logistics Functions and their Management, Distribution Management, Warehousing Management, Transportation Management, Freight Resource Planning, and Case Study in Management of Logistics Functions.


MA6504 Management of Global Manufacturing

Taught by Assoc Prof Appa Iyer Sivakumar

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

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.

MA6712 Procurement & Supplier Development

Taught by Ms Jeanette Ng Chia Hui

The course will provide students the knowledge to Manage Procurement Management Process which includes to identify supplier contract milestones, to review supplier performance against contract, to identify and resolve supplier performance issues. The course also covers these sections: Systematic coordination of all aspects of the procurement process: bids, price negotiations, assuring proper quantities and specifications, shipping and delivery; Challenges in Public Procurement, Engineering economics, and analysis; Contracting-out and outsourcing decision.

Students will also learn the following topics: Public and private project considerations; Present worth method and annual worth method, Benefit-cost ratio method for projects evaluation; Strategic Purchasing and Supply Management, Type of contract: Fixed-price, Cost-reimbursement, Incentive, Indefinite-delivery, Time-and-materials, etc., Selecting Suppliers for Development, Key Technical Purchasing Skills, Contract Management, Project Management Skills and Interpersonal Skills; Industry Trends, Decision Process, Specification Development, Bid Process: Soliciting Bids and Selecting a Supplier, Receiving Process, Alternate Purchasing Strategies, Supplier Performance Measurement and Evaluation.

MA6715 Systems Simulation & Modelling

Taught by Assoc Prof Rajesh Piplani

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

MA6716 Manufacturing & Service Operations Management

Taught by Assoc Prof Appa Iyer Sivakumar and Dr Kaushik Ghatak

The course covers the following topics:  Introduction to Operations Management, Inventory Theory and Control; Basics of Lean Manufacturing and Push-Pull Systems; Factory Dynamics; Variability Analysis; Theory of Constraints; Demand Forecasting; Aggregate Planning; Basic and Advanced Scheduling; Queuing, and Role of Operations Management within Supply Chain and Manufacturing Systems. 

MA6731 System Reliability & Risk Analysis

Taught by Dr Chen Songlin

The course covers the following topics: Introduction of system reliability and risk; Statistical methods in system reliability modelling; System failure rate distribution and estimation; System configuration and reliability; Failure mode and effects analysis; Stochastic risk models for complex systems; Optimal policies for system maintenance.

MA6741 Quality Engineering

Taught by Adjunct Professor Goh Thong Ngee

The course covers the following topics:  Quality concepts, statistical process control, process improvement, design of experiments, reliability, quality management systems and design, product liability; Case studies and examples of industrial applications will be used throughout the course; The course will help the students develop an appreciation of advanced quality engineering techniques and a perception of how quality can be built into all stages of a product's lifecycle.

MA6811 Product Design & Development

Taught by Professor Chen Chun-Hsien and Assoc Prof Moon Seung Ki

The course covers the following topics: A multi-disciplinary approach to product design and development; Product development process and strategies; Need identification and product specifications; Generation and evaluation of ideas and concepts; Product architecture; Product aesthetics and form creation; Product semantics and identity.

The program is tailored for practicing engineers, logisticians and information technologists employed (or seeking employment) in manufacturing or logistics sectors. The program relies intensively on industry speakers, site visits, case studies and hands-on computer modeling and game plays to support in-class learning. 



Please note this MSc programme is a self-financed, non-MOE subsidised programme.

Application Fees


(payable when you submit your application)


Deposit Payment

(The deposit will be used to offset the semester 1 tuition fees after matriculation)


(payable upon acceptance of offer of admission)

Programme Tuition Fees

Full programme

To attain an MSc in Supply Chain Engineering, candidates must complete
ten courses, or eight courses and one dissertation

Fees are $3600 per course or $1200 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.

# If you are a Singaporean student, you may use up to $1000 of your SkillsFuture credits towards tuition fees. The claim submission has to be completed 60 days before the start date of the next Semester (e.g. Submit before November to claim towards Semester 2 tuition fees)

To do so, please follow the following steps:

  1. Log in to NTU MSc Supply Chain Engineering programme page on SkillsFuture portal
  2. Click on “Claim SkillsFuture Credit”
  3. To submit a claim, you should have supporting documents such as letter of offer, matriculation documents etc.
  4. As your e-bill for the upcoming Semester would not be available yet, take note of your SFC Claim ID.
  5. Notify School ( and NTU NSS-Finance ( with the SFC Claim ID and the amount to be claimed through SFC.
  6. When you receive your e-bill for the Semester, leave the SFC amount to be claimed out of your payment.



FlexiMasters in Supply Chain Engineering (through PaCE@NTU)

To indicate your interest for the FlexiMasters through PaCE@NTU, please complete the enquiry form here. PaCE@NTU will follow-up to contact you if there are courses to be offered.

*PaCE candidates interested in pursuing the MSc in Supply Chain Engineering are requested to complete the full FlexiMasters first, and then submit the completed PaCE certifications when applying for MSc admissions*