The logistics 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 & Logistics) program aims to address the needs of both the manufacturing and service sectors with an integrated and comprehensive program in Supply Chain and Logistics, 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.
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 (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 Code||Title||AUs||Prerequisites||Semester||Availability to Exchange Students|
|L6002||Quantitative Methods for Logistics Analysis||3||NIL||1||Yes, but subject to the School's approval & class availability|
|L6003||Corporate Resource Planning||3||NIL||2||Yes, but subject to the School's approval & class availability|
|L6103||Supply Chain Analysis and Design||3||Recommended - L6002||2||Not Available|
|L6116||Manufacturing and Service Operations Management||3||NIL||1||Yes, but subject to the School's approval & class availability|
|Course Code||Title||AUs||Prerequisites||Semester||Availability to Exchange Students|
|L6102||Procurement & Supplier Development||3||NIL||2||Yes, but subject to the School's approval & class availability|
|L6115||Management of Logistics Functions||3||NIL||1||Yes, but subject to the School's approval & class availability|
|M6141||Quality Engineering||3||NIL||2||Yes, but subject to the School's approval & class availability|
|M6205||Systems Simulation & Modeling||3||NIL||1||Not Available|
|M6401||Product Design & Development||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, statistics
|2||Yes, but subject to the School's approval & class availability|
|M6931||System Reliability & Risk Analysis||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|
Please note that the courses available to exchange students are subject to change every academic year.
L6002 Quantitative Methods for Logistics Analysis
Taught by Dr. Albert Tan & Dr. Chen Songlin
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.
L6003 Corporate Resource Planning
Taught by Assoc Prof Rajesh Piplani and Dr. Kaushik Ghatak
The course covers the followng 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.
L6103 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.
L6116 Manufacturing & Service Operations Management
Taught by Assoc Prof Appa Iyer Sivakumar and Mr. Sanjay Gandhi
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.
L6102 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.
L6115 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.
M6141 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.
M6205 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.
M6401 Product Design & Development
Taught by Assoc Prof 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.
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.
M6931 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.
MA6535 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.
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.
Fees & Financial Aid
Admission portal will be open from November to January. The application outcome will be released between April to May.
Please note this MSc programme is a self-financed, non-MOE subsidised programme.
(payable when you submit your application)
(payable upon acceptance of offer of admission)
|Programme Tuition Fees|
To attain an MSc in Supply Chain & Logistics, candidates must complete
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.
For more information, please refer to the Student Financial Services here.
Financial Aid for Singaporeans and Singapore PRs
The MiniMasters™ in Supply Chain Engineering is fully supported by SkillsFuture Singapore (SSG).
Singapore Citizens and Singapore Permanent Residents are able to enjoy 70% course fee subsidy and 90% subsidy for Singapore Citizens aged 40 and above.
To apply for the MiniMasters™ through PaCE@NTU, please click here.
To be awarded with MiniMasters™ in Supply Chain Engineering, learners need to complete 15AUs of courses and obtain minimum grade of C+ per course.
Learners who complete 9AUs of coursework and obtain a minimum grade of C+ per course, will receive a Graduate Certificate in SupplyChain Engineering.
These courses are stackable towards the Master of Science (MSc) in Supply Chain and Logistics degree programme upon subsequent formal admissions to the MSc programme, subject to the prevailing rules and regulations.
*PaCE candidates interested in pursuing the MSc in Supply Chain and Logistics are requested to complete the full MiniMasters first, and then submit the completed PaCE certifications when applying for MSc admissions*
Candidates must then fulfill the remaining programme requirements to obtain the MSc in Supply Chain and Logistics (A total of ten courses or eight courses and one dissertation).
Fees for courses without government subsidy is $3600 per course or $1200 per Academic Unit.