Master of Science in Mechanical Engineering

Master (Coursework)

Programme Type

Full-time, Part-time

Mechanical Engineering is a discipline with a long history of technology innovation, and it is at the frontier of a new wave of technological breakthroughs that are characterised by digitalisation, connectivity, and intelligence.

With world-class faculty, facilities, and a rigorous but flexible curriculum, the MSc in Mechanical Engineering builds a solid foundation in fundamental theories on structures, dynamics, and controls, and provides students with the latest tools for analysing, designing, producing, and servicing various products and systems.

Graduates from the programme are expected to find jobs and advance their careers in a wide range of industry sectors that include: Electronics, Semiconductors, Machinery and Robotics, Advanced Manufacturing, Building and Construction, Pharmaceutical, Aerospace, Defence, Marine, Oil and Gas.

Admission Information

Admissions application period for January 2024 intake has ended and applications are currently being evaluated

Admissions Application period for August 2024 intake :  1 November 2023 - 29 February 2024


  • Option to complete a dissertation 
  • Optional specialisation in Additive Manufacturing 


    MAE Graduate Study Grant

    The MAE Graduate Study Grant is awarded to outstanding graduate students seeking admission to MAE’s Master of Science programmes. On top of the admission requirements of each programme, applicants will be assessed based on multiple factors that include academic record, working experiences, past achievements and awards, nationality, financial needs etc.

    Shortlisted applicants may be invited for interviews, and successful applicants will be informed of the outcome shortly after the offer of admission. Recipients of the grant will be given co-funding (25% or more) of their tuition fees upon matriculation.

    Recipients are expected to maintain a CGPA of 3.50 each Semester to maintain the eligibility for the Grant.

    If you are interested, please complete and submit the  MAE Graduate Study Grant Form to MAE Graduate Studies Office ([email protected]). Deadline for submission [August 2024 intake] is by 29 February 2024.

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. Please ensure that you upload a scanned copy of TOEFL/IELTS along with your application (hardcopy is not required).

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 2024 intake :  1 November 2023 - 29 February 2024 

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 

OptionDescriptionNo. of CoursesCoreElectives
1Coursework and Dissertation#8 Courses + Dissertation 44
2Coursework Only (*Default Option)10 Courses46

#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 during your first Semester.


Course CodeTitleAUsPrerequisite(s)Semester
MA6801Advanced Thermal Engineering3NIL2
MA6802Engineering Measurements3NIL2
MA6803Computational Methods in Engineering3NIL1
MA6804Advanced Mechanics of Materials3NIL1


Course CodeTitleAUsPrerequisite(s)Semester
MA6086Systems Engineering Fundamentals3Recommended- Project Management experience1 & 2
MA6087Project Strategy, Risk and Quality Management3Recommended- Project Management experience1 & 2
MA6502Fundamentals and Advances in Additive Manufacturing3NIL2
MA6511Advanced Manufacturing Processes3NIL1
MA6512Fundamentals of Precision Engineering3NIL2
MA65153D Printing of Electronics 3NIL1,2
MA6703Supply Chain Inventory Planning3NIL1
MA6715Systems Simulation & Modeling3NIL1
MA6741Quality Engineering3NILnot offered in AY2023
MA6811Product Design & Development3NIL1
MA6812Advanced Materials Engineering
MA6813Robotics and Industrial Automation
MA6816Laser Assisted Manufacturing3NIL2

Please note that course offerings are subject to review every academic year.


Conditions for the Award of the Additive Manufacturing Specialisation

i. Pass all core courses

Course Code Course Title
MA6801Advanced Thermal Engineering
MA6802Engineering Measurements
MA6803Computational Methods in Engineering
MA6804Advanced Mechanics of Materials


ii. Pass any four of the following Additive Manufacturing courses

Course Code
Course Title
MA6502Fundamentals and Advances in Additive Manufacturing
MA6511Advanced Manufacturing Processes
MA6513Advanced Design for Manufacturing
MA65153D Printing of Electronics 
MA6816Laser Assisted Manufacturing
MA6811Product Design and Development

In addition to the above core and specialisation requirements, students must also meet a minimum CGPA of 2.50 in order to graduate.


Course Synopsis



MA6801 Advanced Thermal Engineering

Taught by Assoc Prof Fei Duan ​and Dr Wu Yanhua

The objective of this course is to provide you with knowledge on thermal engineering issues in advanced levels overlapping with senior years of undergraduate level. The topics cover fundamentals of heat conduction and convection, and the solution methods.

The course covers the following sections: Heat Conduction; Fundamental Equations for Fluids and Energy; Similarity, Vorticity Equation and Potential Flow; Momentum Boundary Layer Theory; Thermal Boundary Layer Theory; Free Convection; Internal Flow Convection Heat Transfer.


MA6802 Engineering Measurements

Taught by Assoc Prof Fan Zheng, David and Dr Cheng Fang

This course aims at introducing the students to the fundamentals of engineering measurements, discussing about various relevant concepts & terminologies. The mathematical background required to categorize & analyze various measurement devices will be presented. Subsequently several classical and modern procedures for measuring parameters of scientific interest, such as displacement, motion, stress, force, flow, pressure, temperature etc., will be discussed in detail.

The course covers the following sections: Advanced principles of measurement; Measurement system design; Advanced metrology.


MA6803 Computational Methods in Engineering

Taught by Dr Lee Yong Tsui and Professor Li Hua 

This course focusses on using numerical methods to solve problems on the computer. You will get to understand the behaviour of numerical computations and learn to construct stable solutions to mathematical and engineering problems.

The course covers the following sections: Object modeling and algorithms; Optimisation; Approximation & interpolation; Large-scale systems of linear equations; Numerical differentiation; Numerical integration; Numerical methods for ordinary differential equations; Numerical methods for partial differential equations.


MA6804 Advanced Mechanics of Materials

Taught by Assoc Prof Shu Dong Wei and Assoc Prof Seah Leong Keey

The course aims to provide you with a comprehensive knowledge of essentials of advanced topics of mechanics of solids including aspects of mechanics and aspects of materials.

The first part of the current course will cover the advanced topics of statically indeterminacy, stress concentration, and creep and viscoelasticity. The second part focuses on a very useful and common engineering structures, plates and shells, their governing equations, and particularly some numerical analysis. The third part introduces an advanced and widely applied materials of the last few decades, laminated composites materials. The various constituents of the materials are delved into as well as the bonded lamina. The fourth part closes with the introduction of the application of the aforementioned laminates as plates in topics such bending, vibration, and buckling.




MA6086 Systems Engineering Fundamentals

Taught by Dr. Chen Songlin

This course introduces students to the fundamental concepts of Systems Engineering and their application to the Management of Projects. It covers a broad spectrum of Systems Engineering topics, across both from a hard systems and soft systems perspective. Primary topics covered in this course will include stakeholder identification, stakeholder analysis, requirement definition, requirements management, system design and development, life cycle Analysis, project complexity, configuration management and interface management. Students will also be introduced to understanding more about Systems Engineering Models, Principles and Best Practices. The main feature of the course is to enable the students to take a “systems approach” to project management.​


MA6087  Project Strategy, Risk and Quality Management

Taught by Mr Lim Sui Soon

Aim of this course is to give students an understanding of project management in the context of corporate and business strategies. The course illustrates interdependencies between corporate and business strategies, and show the importance of developing an effective project strategy aligned to corporate strategy. Topics covered in this course include corporate strategy, portfolio and programme management, delivery of strategic objectives, risk and uncertainty, enterprise risk management (ERM), reputation, and governance.


MA6502 Fundamentals and Advances in Additive Manufacturing

Taught by Professor Yeong Wai Yee and Dr Ng Wei Long

This course is designed to equip the participants with fundamental knowledge and general analysis of 3D printing processes.

The course covers the following topics: Introduction to additive manufacturing; Vat photopolymerization; Material jetting;  Material extrusion; Sheet lamination; Powder bed fusion; Directed energy deposition; Binder jetting; Design for additive manufacturing and file formats; Applications of additive manufacturing; Benchmarking and future trends; Case studies.


MA6511 Advanced Manufacturing Processes

Taught by Assoc Prof Zhou Wei and Dr Tan Kai Liang

This course provides a graduate level understanding of manufacturing processes needed to provide shape, dimensions and properties to materials at an affordable cost. Starting from the nature of raw materials available for shaping, various methods to shape them will be described. The emphasis will be on linking the nature of the process to the shapes, dimensions and properties that can be achieved. Case studies will be utilized to facilitate the understanding of the choice of the manufacturing processes for various components. The course aims to provide students with a comprehensive coverage of modern manufacturing processes, emphasize on quantitative treatment of manufacturing by introducing manufacturing science concepts and mathematical models to describe and design the processes, and relate theoretical concepts to industrial practice through case studies and assignments.

The course covers the following sections: Overview of manufacturing; Solidification processes; Metal forming; Material addition processes; Material removal processes; Particulate processing of metals and ceramics; Assembly technologies; Manufacturing process selection and process planning.


MA6512 Fundamentals of Precision Engineering

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

The course aims to provide a fundamental understanding of precision engineering and apply concepts to industrial situations. As a course offered is targeted at MSc Smart Manufacturing it aims to provide a firm grounding of manufacturing science in precision engineering and to enable a good grasp of the concepts that can be applied to industrial problems.

The course covers the following topics: Overview and history of precision engineering; Tolerance technology; Measurement; Principles of precision machine design; Machining.


MA6515 3D Printing of Electronics 

Taught by Professor 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.

Topics included are: Introduction to conventional electronics manufacturing and 3D Printing of electronics; Conventional contact printing techniques for printed electronics; 3D freeform electronics printing techniques; Materials and inks for 3D printed electronics; Substrates and processing for 3D printed electronics; Sintering techniques for metallic nanoparticle inks; Computational design and simulation; Applications of 3D printed electronics and future trends; Lab tour; Workshop.


MA6703 Supply Chain Inventory Planning

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.


MA6715 Systems Simulation & Modeling 

Taught by Assoc Prof Rajesh Piplani

The primary objective of this course is to provide an insight into effective decision-making using simulation modeling. The bulk of the time in the course is spent on discrete event simulation modeling. Simulation model building aspects of discrete systems (such as manufacturing and logistics facilities, supply-chains) are covered in detail. The course also demonstrates the effectiveness of computer simulation to successfully model, analyze and improve systems under study. Simulation software (Arena) is used to demonstrate building and executing the models. Continuous and combined system simulation is also covered in later part of the course. The course also covers the topic of simulation life cycle analysis, and goes over issues such as model verification and validation. Additionally, it looks into the modeling of input data and analysis of model output.

The course covers the following topics: Discrete-event simulation; Basics model-building blocks; Simulation case studies; Simulation modelling of manufacturing facilities; Supply-chain simulation; Simulation workshop; Continuous simulation; Simulation in the process industry; Input-output analysis; Simulation life-cycle analysis; Model verification and validation, Simulation paradigms and languages.


MA6741 Quality Engineering

Taught by Adjunct Professor Goh Thong Ngee  

This course covers essential concepts and techniques for quality excellence. These are related to both classical and modern quality approaches, as well as statistical methodologies for process and product improvement or optimization. Emphasis is placed on the appreciation of strategies and tools from an engineering point of view supplemented by management insights, as well as the approach to built-in and life-cycle quality rather than localized defect prevention.

The course covers the following topics:  Systems approach to quality; Improvement strategies; Process capability analysis; Control chart applications; Six Sigma Framework; Process modelling; Experimental design; Small sample analysis; Taguchi methods; Quality by design; R&D Quality Engineering.


MA6811 Product Design & Development

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

Covered within this subject are the description of a multi-disciplinary, cross-functional approach, the product development processes, the various product development strategies, needs finding and identifications, establishing product specifications, generation of ideas and concepts, concepts evaluation and selection, product architecture, product aesthetics, form creation, and corporate and product identity. Design theories and collaborative product development utilizing the latest technology, e.g. the Internet, will also be included to complete the overall picture of new product development.

The course covers the following topics: Principles of Concurrent Engineering; Design for Excellence (DFX); PLM and Product Planning; CPD and Its Tools; Industrial Design; Axiomatic Design; CRM and Mass Customization; Product Development Process; Needs and Product Specifications; Generation of Ideas and Concepts; Product Architecture; Corporate Identity and Management; Product Family & Platform Design.


MA6812 Advanced Materials Engineering

Taught by Assoc Prof Sunil C. Joshi, Professor Michael Khor Khiam Aik and Dr Narasimalu Srikanth

This course is expected to cover the key engineering aspects of various materials, such as, metals, composites, polymer and ceramics. It will also educate students to understand failures with causes and preventive measures, material selection and applications.

The course covers the following sections: Metallic and composite materials; materials selection and failure analysis; Polymeric materials; Ceramic materials.


MA6813 Robotics and Industrial Automation

Taught by Dr Ahmad Khairyanto Bin Ratmin and Dr Xie Zhen

This course is designed to provide an overview of the role of automation and Robotics in industries such as manufacturing, healthcare, transportation, food industry, etc. It will explore the various applications of automation and Robotics in manufacturing, the impact of these technologies on productivity and efficiency, and the challenges and opportunities that arise from their adoption. The course will also cover the ethical and societal implications of using these technologies in industries. Besides, this course aims to equip participants with the knowledge and tools to deploy intelligent perception approaches to real-world robotic applications. It mainly focuses on the domains of computer vision and motion planning, targeting their applications in collaborative Robotics. The sessions are organized to offer a hands-on experience based on Python programming, and state-of-art perception libraries.

The course covers the following sections Introduction to Automation and Robotics in Industries, Types of Automation and Robotics in Industries, Applications of Automation and Robotics in Industries, Perception for industrial and collaborative robots, Robot motion planning and simulation of robotic solutions, Integration of subsystems and system architecture for robotic perception, Impacts of Automation and Robotics in Industries, Challenges and Opportunities of AI and Robotics in Industries, Implementing Automation and Robotics in Industries, Advanced Topics in Automation and Robotics in Industries, Case Studies in Automation and Robotics in Industries, Ethical and Societal Implications of AI and Robotics in Industries, Robots hands-on and experiments


MA6816 Laser Assisted Manufacturing

Taught by Assoc Prof Zhou Wei

The course covers the following sections:  Introduction to lasers used in machining; Optics for laser manufacturing processes; Laser-material interaction; Transport phenomena for laser materials processing; Laser safety and hazards; Materials science for laser processing; Advanced laser material processing and machining.


This MSc programme is specifically designed for graduate engineers, R&D engineers, scientists, researchers, and other related professionals who wish to equip themselves with more advanced knowledge in mechanical engineering to face the ever changing world. 



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



Application Fees 

(Inclusive of 9% GST)



(Payable when you submit your application)

Academic Year 2024-2025 (Aug intake)


Deposit Payment

(Inclusive of 9% GST)


(payable upon acceptance of offer of admission)

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

Academic Year 2023-2024 (Jan intake)


Academic Year 2024-2025 (Aug intake)


Academic Year 2023-2024 (Jan intake)

Tuition Fee

(Inclusive of 9% GST)

To attain an MSc in Mechanical Engineering, candidates must complete ten courses (30 AUs), or eight courses (24 AUs) and one dissertation (6 AUs)

Singaporean  -

39,240 (Full Programme)

1,308 (Per Academic Unit)

Singapore Permanent Resident -

44,145 (Full Programme)

1,471.50 (Per Academic Unit)

International Student -

49,050 (Full Programme)

1,635 (Per Academic Unit)

Academic Year 2024-2025 (Aug intake)

Tuition Fee

(Inclusive of 9% GST)

To attain an MSc in Mechanical Engineering, candidates must complete ten courses (30 AUs), or eight courses (24 AUs) and one dissertation (6 AUs)

52,320 (Full Programme)

1,744 (Per Academic Unit)

* above fees are applicable to all students.

Fees are subject to annual revision

From Academic Year 2023-2024:

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. You must submit before November to claim towards Semester 2 tuition fees)

To do so, please follow the following steps:

  1. Log in to SkillsFuture portal and click on “Make SkillsFuture Credit Claim”
  2. Select NTU MSc Mechanical Engineering
  3. To submit a claim, you should have supporting documents such as letter of offer, matriculation documents etc.
  4. In your claim, indicate the course start date to be first day of the upcoming Semester in the Academic Calendar.
  5. As your e-bill for the upcoming Semester would not be available yet, take note of your SFC Claim ID.
  6. Notify School ([email protected]) and NTU NSS-Finance ([email protected]) with the SFC Claim ID and the amount to be claimed through SFC.
  7. When you receive your e-bill for the Semester, leave the SFC amount to be claimed out of your payment.
  8. Please refer to Skillsfuture FAQ at this link.

From Academic Year 2024-2025 onwards:

  • NTU Alumni students are entitled to 10% study incentives in the form of reduction in fees.
  • Students who are Singapore Citizens and Singapore Permanent Residents will receive a one-time subsidy of $5,000.
  • SkillsFuture Credit claim remains applicable (please see section above).
Notes on payment of fees: 

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.