MSc Mechanical Engineering

Curriculum

CORE COURSES

ELECTIVE COURSES

Please note that the course offering is subject to change every academic year. 

Optional Specialisation in Additive Manufacturing

Conditions for the Award of the Additive Manufacturing Specialisation

i. Pass all core courses

ii. Pass any four of the following Additive Manufacturing courses

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

For intakes before AY2022, a separate Specialisation in Additive Manufacturing certificate will then be awarded to you in July. For intakes from AY2022, the Specialisation in Additive Manufacturing will be indicated on your official transcript.

Course Synopsis

CORE COURSES

MA6801 Advanced Thermal Engineering

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

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

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

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.

ELECTIVE COURSES

MA6086 Systems Engineering Fundamentals

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

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.

MA6090 Sustainability in Project Management

MA6502 Fundamentals and Advances in Additive Manufacturing

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.

MA6503 Lasers and Optics in Smart Industry

This course on “Lasers and Optics in Smart Industry” better maps to the Industry Transformation Maps (ITMS) through Skills Framework. Necessary elements of Advanced manufacturing and Precision Engineering are included in this course. This will give the manufacturing and precision engineering industry a better assurance that our graduates are equipped with the relevant skills of the advanced and smart manufacturing techniques using lasers and optics, to meet the evolving needs of the sector.

Topics covered are: Basic optics and lasers; Laser optics for material processing; Smart manufacturing-continuous wave and pulsed lasers; Laser beam assisted manufacturing; Interferometric patterning and feature fabrication for smart industry applications; Laser and optics for smart industry.

MA6511 Advanced Manufacturing Processes 

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

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 

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.

MA6517 Future of Manufacturing - Technologies and Management

This course aims to provide you with a comprehensive understanding of the emerging technologies and strategic management practices transforming the manufacturing industry. You will explore critical topics such as Industry 4.0, robotics, additive manufacturing, artificial intelligence, and sustainable practices, enabling you to lead and
manage technology integration effectively. This course is ideal for students and professionals in engineering,
technology management, and business who are looking to deepen their knowledge of manufacturing innovations and management strategies. By taking this course, you will gain the skills needed to drive technological
advancements, create innovative business models, and foster sustainable growth in the manufacturing sector,
empowering you to excel in future leadership roles and navigate the complexities of a rapidly evolving industry.

The course covers the following topics: Foundations of future of manufacturing, Key technologies shaping manufacturing, Business model innovation, digital disruption, technology management and P&L Management, Industrial application, case studies and industrial sharing, Sustainable manufacturing and environmental impact.

MA6518 Semiconductor Manufacturing - IC Chips Fabrication & Electronic Packaging

MA6703 Supply Chain Inventory Planning

The aim of this course is to inculcate the value of information sharing among supply chain partners. Starting with a basic understanding of supply chains and their designs, this course delves into advanced topics important to supply chain managers, such as design of inventory policies, pipeline inventory considerations, supply chain contracts and risk and sustainability considerations in global supply chains.

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 

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.

MA6788 Independent Study

The MA6788 Independent Study course aims to provide an opportunity for students to work on actual industry projects within an actual industry environment. Students are expected to apply theoretical learnings to address real industry problems and carry out projects in a systematic way, which includes project definition and scoping, project planning and scheduling, resource planning and  financial budgeting, progress and result reporting and presentation etc.

Through this project-based course, students will gain valuable industry exposure and working experience, improve problem solving capabilities, enhance communication and leadership skills. The ultimate goal of the course is to bridge the gap between theoretical learning and practical problem solving, thus laying a solid foundation for students to embark on their career development in various industries.

Note: Students taking this course are expected to work on a project over the semester, in an actual industry context through an internship or work stint. The MA6788 Independent Study course is available to students on the coursework only study option. Students who have converted to the coursework and dissertation study option are not allowed to enrol in the MA6788 course.

For more information on the course registration process, please visit the Current Students Page.

MA6811 Product Design & Development

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

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

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.

MA6814 Structural Integrity for Sustainability and Clean Energy Technologies

MA6816 Laser Assisted Manufacturing

The course covers the following sections:  Introduction to lasers used in machining; Optics for laser machining processes; Laser material interaction--salient features. Materials science for laser processing; One, two or three-dimensional laser machining; Transport phenomena for laser materials processing; Advanced laser material processing and machining. Laser-assisted 3D printing; Laser safety and hazards.

MA6817 Biomedical Systems: Mechanics, Materials, And Manufacturing

MSc Supply Chain Engineering

CURRICULUM

Core Courses

Elective Courses

Analytical Electives - (Select at least 2)

Functional Electives - (Select at least 2)

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

Free Elective

Course Synopsis

Core Courses

MA6701 Quantitative Methods for Operations Analysis

This course will train students to conduct rigorous data analysis in the decision-making processes. It is designed to equip students with fundamental quantitative techniques that will help them in making more informed managerial decisions concerning capacity planning, production, logistics, network optimization etc. Students are expected to use analytical and simulation models to understand the fundamental concepts and theories, as well as apply the techniques for practical problem solving in supply chain, logistics, manufacturing, and service operations.

The course covers the following topics: Data analysis and probability; Probability distributions; Sampling and sampling distributions; Confidence interval estimation; Regression analysis; Decision analysis; Linear optimization; Network optimization; Integer linear optimization; Nonlinear optimization; Integrated data analytics and decision making.

MA6702 Corporate Resource Planning

This course focuses on planning and control of inventories and manufacturing capacities, demand management, order fulfillment, and other supply chain issues. The objective of this course is to develop planning and analytical skills useful for demand management, order fulfillment, master production scheduling, and planning and control of capacity and component/sub-assembly requirements. The course relies on latest supply chain systems and MRP-based methodologies, as well as mathematical models, to illustrate the techniques.

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 SOP, MPC system design and strategy.

MA6703 Supply Chain Inventory Planning

A key aim of this course is to inculcate the value of information sharing for effective inventory planning among supply chain partners. Starting with the importance of information sharing in supply chains, the course covers various inventory policies for single echelon and multi-echelon inventory management, before delving into risk pooling, pipeline inventory considerations, and inventory-transportation trade-offs. The course also covers the key aspect of managing dispersed and horizontal supply chains via effective performance measurement.

The course covers the following topics: Supply chain management: issues and challenges; Value of information; Supply chain inventory management: continuous review policies; Supply chain contracts; Supply chain designs; Supply chain inventory management: periodic review policies;  SC performance measurements; SC Game: design and manage a supply network.

MA6704 Management of Logistics Functions

The objective of this course is to provide fundamental and emerging concepts of Logistics Functions. Logistics management is becoming a vital for many industries, especially manufacturing. However, operational managers and industrial engineers who are specialized in logistics management often need to deal with a wide variety of inter-related issues that span across multiple functional departments. The rationale of introducing this course is to give students a broad overview and the fundamental theories regarding various logistics functions and their management. With this course, students will be able to approach logistics management with a holistic view and be able to understand, analyse, and coordinate various functions with a coherent framework.

Topics covered include: The role of Logistics; Customer service and distribution management; Transportation; Logistics information systems; Global logistics; Strategy, systems integration and case studies; Warehousing and materials handling.

Elective Courses

MA6712 Procurement & Supplier Development

The aim of this course is to equip the participants with an ability to develop insightful sourcing strategies and supplier relationships in a VUCA (volatile, uncertain, complex, and ambiguous) environment, in alignment with organisational goals. Starting with procurement fundamentals, this course examines real-world strategies, industry practitioners’ perspectives and case studies, with a focus on synthesizing strategies for sourcing, supplier performance management and supplier relationship development. The course will enable participants to gain a broader appreciation of the strategic role procurement and suppliers play within the evolving supply chain and enable them to create value through safeguarding of business continuity and establishing a competitive advantage for organisations.

Students will also learn the following topics: Basics of procurement; Strategic alignment; External and internal integration; Global sourcing; Category management; Inventory and quality management; Supplier performance; Supplier development; Supplier relationship management.

MA6713 Advanced Topics in Supply Chain Management

The aim of this course is to introduce current and potential issues affecting design and management of supply chains. Using case study as a vehicle for discussion, this course delves into contemporary topics and issues such as life-cycle assessment, circular economy, e-commerce, global supply chain risk, supply chain resilience, digital supply chains, and sustainability considerations in global supply chains. The objective of the course is to arm the participants with knowledge of these issues, and strategies global companies have adopted to overcome and manage the associated challenges.

Topics covered are: Supply chain management: issues; Perishable supply chain management; E-commerce supply chains; Global supply chain risk management; Digital supply chains: supply chain 4.0; Closed loop supply chains; Cradle-to-cradle: Life-cycle analysis; Sustainable supply chain management.

MA6715 Systems Simulation & Modelling

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.

MA6716 Manufacturing and Service Operations Management

This course serves to provide basic building blocks of Supply Chain and Logistics. It provides an understanding of the interfaces of manufacturing, industrial engineering, operations, and service management.

This course aims to equip graduate students with a solid theoretical foundation in system reliability and risk analysis, which can be applied to address a broad range of design, analysis, and operational issues in various engineering and enterprise systems.

The course covers the following topics: System reliability and risk: overview; System failure models; System configuration and reliability; Stochastic risk models for complex systems; Reliability of maintained systems; Bayesian reliability analysis.

MA6788 Independent Study

The MA6788 Independent Study course aims to provide an opportunity for students to work on actual industry projects within an actual industry environment. Students are expected to apply theoretical learnings to address real industry problems and carry out projects in a systematic way, which includes project definition and scoping, project planning and scheduling, resource planning and  financial budgeting, progress and result reporting and presentation etc.

Through this project-based course, students will gain valuable industry exposure and working experience, improve problem solving capabilities, enhance communication and leadership skills. The ultimate goal of the course is to bridge the gap between theoretical learning and practical problem solving, thus laying a solid foundation for students to embark on their career development in various industries.

Note: Students taking this course are expected to work on a project over the semester, in an actual industry context through an internship or work stint. The MA6788 Independent Study course is available to students on the coursework only study option. Students who have converted to the coursework and dissertation study option are not allowed to enrol in the MA6788 course.

For more information on the course registration process, please visit the Current Students Page.

MSc Smart Manufacturing

Curriculum Information – applicable to MSc SM students from intakes up to AY2025

Core Courses

Electives Courses

Please note that courses offered are subject to review every academic year.

Curriculum Information – applicable to MSc SM students from the AY2026 intake onwards

Core Courses

Electives Courses

Course Synopsis

MA6501 Manufacturing Control and Automation 

Manufacturing environment is complex and requires high level of automation for robustness, high throughput and avoid downtimes. This automation is achieved using industrial robots, CNC/NC machines and related actuators and sensors. Thus, an understanding of the technology of manufacturing automation, the common manufacturing processing, mathematical modeling of manufacturing process, the sensors to measure process output variables, the actuators available on machines and the control systems that enable operation of machines is important for most manufacturing engineers.

MA6502 Fundamentals and Advances in Additive Manufacturing

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.

MA6503 Lasers and Optics in Smart Industry

This course on “Lasers and Optics in Smart Industry” better maps to the Industry Transformation Maps (ITMS) through Skills Framework. Necessary elements of Advanced manufacturing and Precision Engineering are included in this course. This will give the manufacturing and precision engineering industry a better assurance that our graduates are equipped with the relevant skills of the advanced and smart manufacturing techniques using lasers and optics, to meet the evolving needs of the sector.

Topics covered are: Basic optics and lasers; Laser optics for material processing; Smart manufacturing-continuous wave and pulsed lasers; Laser beam assisted manufacturing; Interferometric patterning and feature fabrication for smart industry applications; Laser and optics for smart industry.

MA6504 Management of Global Manufacturing 

This course serves to address broad aspects of managing global manufacturing operation namely, Strategy, Process, Organization & Technology and Industry 4.0 as an integrated framework for dealing with analysis, execution, operation and management of changes required. In this course, we look at the challenges organizations face as they go global, and the changes required on their part to deal with those challenges.

The course covers the following topics: Global manufacturing introduction; Enterprise architecture in global manufacturing; Missing link between corporate strategy & manufacturing; Industry 4.0 and computer integrated manufacturing; Industry 4.0 applications in global manufacturing; Inflection and value chain in global manufacturing; Control of value chain; Framework of manufacturing strategy formulation; Competing for the future; Technology value chain; change management.

MA6086 Systems Engineering Fundamentals

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.​

MA6511 Advanced Manufacturing Processes

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

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.

MA6513 Advanced Design for Manufacturing

The course aims to provide and familiarize students with various design methodologies and tools used in the manufacturing of products.

Topics covered include: Design overview and design principles for manufacturing; Design for manufacturing; Design for assembly; Design for maintainability; Design for customer orientation and quality; Design for automated assembly equipment and devices; Robotic assembly; Selection of materials; Selection of manufacturing processes.

MA6514 Machine Learning and Data Science

The purpose of this introductory course in Machine Learning 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. Using Python, Numpy, Pandas and Colab Notebook as its development environment, the presentation of outcome of machine learning computations are achieved through visualization tool, Matplotlib. Scikit-Learn, an extensive well-documented open source suite of machine learning algorithms serves as the platform to analyse data for underlying trends, classification, identifying criteria parameters, deriving rules for decision making in real-world problem solving, thus leading to a rapid prototyping of a suitable machine learning system.

Topics included are: Context of machine learning and data science in Smart Manufacturing for Industry 4.0; Types of machine learning; Unsupervised learning; Supervised learning; Neural networks and reinforcement learning; Model evaluation and improvement.

MA6515 3D Printing of Electronics

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.

MA6516 Manufacturing in the Circular Economy: Processes, Technologies and Design

This course provides a graduate level understanding of sustainable manufacturing in the transition towards circular economy. It covers a broad range of concepts, including sustainable assessment frameworks and sustainable manufacturing, with a heavy focus on product end-of-life management to ‘close the loop’. There is a strong emphasis on the enabling tools, technologies, and processes in sustainable manufacturing, supplemented by up-to-date industry insights and illustrated by actual case studies. The course also covers the concept of remanufacturing, which is the process of restoring used products to their original condition, thereby extending their useful life and reducing waste. This course aims to empower you with practical tools and analytical skills to put sustainability at the heart of manufacturing operations and processes.

MA6517 Future of Manufacturing - Technologies and Management

This course aims to provide you with a comprehensive understanding of the emerging technologies and strategic management practices transforming the manufacturing industry. You will explore critical topics such as Industry 4.0, robotics, additive manufacturing, artificial intelligence, and sustainable practices, enabling you to lead and
manage technology integration effectively. This course is ideal for students and professionals in engineering,
technology management, and business who are looking to deepen their knowledge of manufacturing innovations and management strategies. By taking this course, you will gain the skills needed to drive technological
advancements, create innovative business models, and foster sustainable growth in the manufacturing sector,
empowering you to excel in future leadership roles and navigate the complexities of a rapidly evolving industry.

The course covers the following topics: Foundations of future of manufacturing, Key technologies shaping manufacturing, Business model innovation, digital disruption, technology management and P&L Management, Industrial application, case studies and industrial sharing, Sustainable manufacturing and environmental impact.

MA6518 Semiconductor Manufacturing - IC Chips Fabrication & Electronic Packaging

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.

MA6788 Independent Study

The MA6788 Independent Study course aims to provide an opportunity for students to work on actual industry projects within an actual industry environment. Students are expected to apply theoretical learnings to address real industry problems and carry out projects in a systematic way, which includes project definition and scoping, project planning and scheduling, resource planning and  financial budgeting, progress and result reporting and presentation etc.

Through this project-based course, students will gain valuable industry exposure and working experience, improve problem solving capabilities, enhance communication and leadership skills. The ultimate goal of the course is to bridge the gap between theoretical learning and practical problem solving, thus laying a solid foundation for students to embark on their career development in various industries.

Note: Students taking this course are expected to work on a project over the semester, in an actual industry context through an internship or work stint. The MA6788 Independent Study course is available to students on the coursework only study option. Students who have converted to the coursework and dissertation study option are not allowed to enrol in the MA6788 course.

For more information on the course registration process, please visit the Current Students Page.

MA6802 Engineering Measurements

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

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.

NTU MSc Project Management

Programme and Curriculum Information – applicable to MSc PM students from intakes up to AY2023

# Electives may be offered once per every academic year. Course offering is subject to review every year.

• Students complete the entire  programme  within 1 year (Full-time) or 2 years (Part-Time).
• Full-Time students choosing the dissertation option typically require 1.5 years instead of 1 year to graduate.
• The maximum candidature for Full-Time students is 3 years and for Part-Time students is 6 years. 
• In each semester, Part-Time students can take up to 3 courses, and Full-Time students can take up to 5 courses, depending on option of study.

The available Electives are:

Note:- Course offerings are subject to review every academic year.

Programme and Curriculum Information – applicable to MSc PM students from intakes from AY2024

below:

• Students can complete the entire programme within 1 year (Full-time) or 2 years (Part-Time).
• Full-Time students choosing the dissertation option typically require 1.5 years instead of 1 year to graduate.
• The maximum candidature for Full-Time students is 3 years and for Part-Time students is 6 years. 
• In each semester, Part-Time students can take up to 3 courses, and Full-Time students can take up to 5 courses, depending on option of study.

Courses

Elective courses offered by other MSc programmes may be on Monday-Friday, 7pm-9.50pm, for 13 Weeks of each Semester.

Core Courses:

• It is recommended that students complete the core courses MA6081 and MA6082—as prerequisites or corequisites—before progressing to the more advanced elective courses.

Course Synopsis

MA6081 Fundamentals of Project Management

The Fundamentals of Project Management course provides an overview of project management and the essential tools and techniques needed to deliver successful projects on time and on budget. The course will provide an introduction to the key aspects of the project management processes and specific techniques that have been devised to bring about the successful conclusion of projects. This course introduces the tools and techniques for project definition, cost & time estimation, resource planning, critical path development, project monitoring and control, scope management, risk management and project closure. The course is intended as a foundation for the MSc (PM) Programme modules and therefore should be studied first, alone or with one other modules.

MA6082  Management of Project Plan, Schedule and Resources

This course introduces concepts of project planning, scheduling and resource management and aims to develop understanding of how principles, methods, and tools in planning and resource management apply to the management of projects. This course places project controls, particularly in respect of time, as the core of the Project Management process and ensure that students understand and apply appropriate techniques to control the schedule and resource of the overall project. covered include project scope definition, work break down structure (WBS), network scheduling (CPA) techniques, scheduling of resources, and techniques of project monitoring and control. New techniques such as critical chain project management and agile project management are introduced.

MA6083 Project Budget and Cost Management 

The course aims to develop understanding of concepts and techniques of cost estimating, project progress monitoring and control the overall project cost. This course places project control with respect of budget and cost as the center of the project management process. covered include techniques of cost estimating, budget management, estimating uncertainty and risk, monitoring & control techniques, earned value management (EVM), and life cycle costing.

MA6084 Procurement and Contract Management in Projects 

Aim of this course is to give an understanding of the commercial interests and relationships between companies involved at different levels in projects. It provides an understanding of how these relationships are managed to meet the needs of projects and the ways in which these relationships are shaped by legal and other restraints. Lessons and choices in strategies for the procurement of goods and services are also discussed. Topics covered include: bidding process, types of contract, the law of contract, law and commercial relationships, liability law and dispute resolution.

MA6085  Organization Culture and Leadership in Projects

The objective of the course is to help students think about organizations from a cultural and project management perspective. Students will be introduced to both theoretical frameworks and models in organization culture and will be provided multiple case studies to reflect on practical organization challenges from a project manager’s perspective. Primary topics covered in this course will include project organization and environment, team management, conflict management, leadership,motivation, diversity management and communication techniques. The main feature of the course is to help students gain knowledge and understanding on a wide range of people, organization and culture topics relevant to a project manager.

MA6086 Systems Engineering Fundamentals

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

This primary objective of the course is to introduce strategic thinking into project management. More specifically, the course aims to teach students what strategy is in a general business/corporate context, and how strategic thinking can be applied in project management.

MA6088  Research Project Management

The Research Project Management Course develops students' ability to conduct and manage a research project or assignment within the domain of project management and to prepare students to successfully carry out the dissertation component of the programme. The course introduces the principles of research design and illustrates the application of alternative research methods to research problems in the domain of project management. In addition, emphasis will be given to carrying out a literature review including searching for relevant literature as the basis for “life-long learning”, organized writing, a well structured and coherent review including an element of critical review of public domain literature.

MA6089 International Project Management

The course aims to develop comprehensive understanding of how principles, and methods, of the management of project are extended and elaborated to the management of International Projects.  Concepts of International
Projects are introduced, and success in international project management are defined in this course.  This course focuses on international project management, particularly in respect of the global nature of managing strategy and managing communications, contracts, time, cost and quality in the international project management process and ensure that students understand and apply appropriate concepts and techniques in leading and managing
international projects.  

The course covers the following topics: Introduction to International Project Management; Planning the International Project in Terms of Time, Cost, and Quality; Leading and Management of International Project; Managing Risk and Uncertainty in International Project.

MA6090 Sustainability in Project Management

This course serves to address broad aspects of managing global manufacturing operation namely, Strategy, Process, Organization & Technology and Industry 4.0 as an integrated framework for dealing with analysis, execution, operation and management of changes required. In this course, we look at the challenges organizations face as they go global, and the changes required on their part to deal with those challenges.

The course covers the following topics: Global manufacturing introduction; Enterprise architecture in global manufacturing; Missing link between corporate strategy & manufacturing; Industry 4.0 and computer integrated manufacturing; Industry 4.0 applications in global manufacturing; Inflection and value chain in global manufacturing; Control of value chain; Framework of manufacturing strategy formulation; Competing for the future; Technology value chain; change management.

MA6702 Corporate Resource Planning

This course focuses on planning and control of inventories and manufacturing capacities, demand management, order fulfillment, and other supply chain issues. The objective of this course is to develop planning and analytical skills useful for demand management, order fulfillment, master production scheduling, and planning and control of capacity and component/sub-assembly requirements. The course relies on latest supply chain systems and MRP-based methodologies, as well as mathematical models, to illustrate the techniques.

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 SOP, MPC system design and strategy.

MA6703 Supply Chain Inventory Planning

A key aim of this course is to inculcate the value of information sharing for effective inventory planning among supply chain partners. Starting with the importance of information sharing in supply chains, the course covers various inventory policies for single echelon and multi-echelon inventory management, before delving into risk pooling, pipeline inventory considerations, and inventory-transportation trade-offs. The course also covers the key aspect of managing dispersed and horizontal supply chains via effective performance measurement.

The course covers the following topics: Supply chain management: issues and challenges; Value of information; Supply chain inventory management: continuous review policies; Supply chain contracts; Supply chain designs; Supply chain inventory management: periodic review policies;  SC performance measurements; SC Game: design and manage a supply network.

MA6704 Management of Logistics Functions

The objective of this course is to provide fundamental and emerging concepts of Logistics Functions. Logistics management is becoming a vital for many industries, especially manufacturing. However, operational managers and industrial engineers who are specialized in logistics management often need to deal with a wide variety of inter-related issues that span across multiple functional departments. The rationale of introducing this course is to give students a broad overview and the fundamental theories regarding various logistics functions and their management. With this course, students will be able to approach logistics management with a holistic view and be able to understand, analyse, and coordinate various functions with a coherent framework.

Topics covered include: The role of Logistics; Customer service and distribution management; Transportation; Logistics information systems; Global logistics; Strategy, systems integration and case studies; Warehousing and materials handling.

MA6716 Manufacturing and Service Operations Management

This course aims to equip graduate students with a solid theoretical foundation in system reliability and risk analysis, which can be applied to address a broad range of design, analysis, and operational issues in various engineering and enterprise systems.

The course covers the following topics: System reliability and risk:overview; System failure models; System configuration and reliability; Stochastic risk models for complex systems; Reliability of maintained systems; Bayesian reliability analysis.

MA6788 Independent Study

The MA6788 Independent Study course aims to provide an opportunity for students to work on actual industry projects within an actual industry environment. Students are expected to apply theoretical learnings to address real industry problems and carry out projects in a systematic way, which includes project definition and scoping, project planning and scheduling, resource planning and  financial budgeting, progress and result reporting and presentation etc.

Through this project-based course, students will gain valuable industry exposure and working experience, improve problem solving capabilities, enhance communication and leadership skills. The ultimate goal of the course is to bridge the gap between theoretical learning and practical problem solving, thus laying a solid foundation for students to embark on their career development in various industries.

Note: Students taking this course are expected to work on a project over the semester, in an actual industry context through an internship or work stint. The MA6788 Independent Study course is available to students on the coursework only study option. Students who have converted to the coursework and dissertation study option are not allowed to enrol in the MA6788 course.

For more information on the course registration process, please visit the Current Students Page.

MSc Aviation  

Curriculum

CORE COURSES

ELECTIVE COURSES

Course Synopsis

CORE COURSES

MA6901 EVTOL Aircraft Design

The objectives of the course are to familiarize the learners with the principles of how a vertical take-off and landing (VTOL) aircraft works, and then at the high level of how to design them. Course will focus on electric powered VTOL aircraft and provides key certification and regulation challenges.

MA6902 ​Aircraft Operations

​MA6903 Aviation Safety and Human Factors

By taking this course, you will gain a firm understanding of the fundamental principles of Aviation Safety and its critical role in aviation operations. Through real-world case studies, you will learn how past incidents have shaped current practices, equipping you with the tools to identify risks and apply safety strategies effectively. Whether you're an aspiring aviation professional, airline or Maintenance, Repair, and Overhaul (MRO) executive, or a researcher in the aerospace field, this course will enhance your ability to contribute meaningfully to a safer aviation environment.

MA6904 Air Transportation Systems

This course aims to provide you with a comprehensive understanding of the complexities of the Air Transportation System, focusing on its key components such as airspace, airports, human factors, automation, and their interactions. Designed for students interested in aviation, air traffic management, and transportation systems, this course is ideal for aspiring professionals in the aviation industry or researchers aiming to address its challenges. You will explore and analyze forecasting models, enabling technologies like communication, navigation, and surveillance, and evaluate airport and air traffic subsystems, including runways, taxiways, terminals, and gates. The course will also address the environmental and societal impacts of air transportation, equipping you with computational tools to analyze and mitigate these effects. Through a combination of theoretical knowledge and practical applications, you will develop problem-solving skills to address real-world air transportation challenges and conduct research to critically evaluate state-of-the-art technologies in Air Transportation, preparing you for a dynamic career in the aviation sector or advanced academic pursuits.

 ELECTIVE COURSES

MA6090 Sustainability in Project Management

This course aims to cater to the growing need to integrate project management skills with ability to incorporate sustainability considerations and solutions in projects.  Students will learn how to incorporate sustainable practices into projects, assess climate change and environmental impacts as well as contribute to building a resilient future.

MA6502 Fundamentals and Advances in Additive Manufacturing

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.

MA6514 Machine Learning and Data Science

The purpose of this introductory course in Machine Learning 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. Using Python, Numpy, Pandas and Colab Notebook as its development environment, the presentation of outcome of machine learning computations are achieved through visualization tool, Matplotlib. Scikit-Learn, an extensive well-documented open source suite of machine learning algorithms serves as the platform to analyse data for underlying trends, classification, identifying criteria parameters, deriving rules for decision making in real-world problem solving, thus leading to a rapid prototyping of a suitable machine learning system.

Topics included are: Context of machine learning and data science in Smart Manufacturing for Industry 4.0; Types of machine learning; Unsupervised learning; Supervised learning; Neural networks and reinforcement learning; Model evaluation and improvement.

MA6702 Corporate Resource Planning

This course focuses on planning and control of inventories and manufacturing capacities, demand management, order fulfillment, and other supply chain issues. The objective of this course is to develop planning and analytical skills useful for demand management, order fulfillment, master production scheduling, and planning and control of capacity and component/sub-assembly requirements. The course relies on latest supply chain systems and MRP-based methodologies, as well as mathematical models, to illustrate the techniques.

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 SOP, MPC system design and strategy.

MA6704 Management of Logistics Functions

The objective of this course is to provide fundamental and emerging concepts of Logistics Functions. Logistics management is becoming a vital for many industries, especially manufacturing. However, operational managers and industrial engineers who are specialized in logistics management often need to deal with a wide variety of inter-related issues that span across multiple functional departments. The rationale of introducing this course is to give students a broad overview and the fundamental theories regarding various logistics functions and their management. With this course, students will be able to approach logistics management with a holistic view and be able to understand, analyse, and coordinate various functions with a coherent framework.

Topics covered include: The role of Logistics; Customer service and distribution management; Transportation; Logistics information systems; Global logistics; Strategy, systems integration and case studies; Warehousing and materials handling.

MA6712 Procurement & Supplier Development

The aim of this course is to equip the participants with an ability to develop insightful sourcing strategies and supplier relationships in a VUCA (volatile, uncertain, complex, and ambiguous) environment, in alignment with organisational goals. Starting with procurement fundamentals, this course examines real-world strategies, industry practitioners’ perspectives and case studies, with a focus on synthesizing strategies for sourcing, supplier performance management and supplier relationship development. The course will enable participants to gain a broader appreciation of the strategic role procurement and suppliers play within the evolving supply chain and enable them to create value through safeguarding of business continuity and establishing a competitive advantage for organisations.

Students will also learn the following topics: Basics of procurement; Strategic alignment; External and internal integration; Global sourcing; Category management; Inventory and quality management; Supplier performance; Supplier development; Supplier relationship management.

MA6788 Independent Study

The MA6788 Independent Study course aims to provide an opportunity for students to work on actual industry projects within an actual industry environment. Students are expected to apply theoretical learnings to address real industry problems and carry out projects in a systematic way, which includes project definition and scoping, project planning and scheduling, resource planning and financial budgeting, progress and result reporting and presentation etc.

Through this project-based course, students will gain valuable industry exposure and working experience, improve problem solving capabilities, enhance communication and leadership skills. The ultimate goal of the course is to bridge the gap between theoretical learning and practical problem solving, thus laying a solid foundation for students to embark on their career development in various industries.

For more information on the course registration process, please visit the Current Students Page.

MA6911 Flight Navigation and Control

The disruptive advanced-air-mobility (AAM) world and the proliferation of gyroplanes, UAV and e-VTOL vehicles for any given configuration and flight conditions require the best knowledge and judgment in the area of aircraft flight dynamic stability and control to meet the existing stringent civil requirements. Dedicated methods of prediction become fundamental for use in the design or concept study phase (Vehicle Design), to evaluate, changes resulting from proposed engineering changes, Vehicle Operations, and as a training on cross training aid (Pilot Training). The formulation and analysis of such problems are made possible through the industry state-of-the art of digital computation models/tools, MATLAB/Simulink and/or Python, recognised by the flight dynamic professionals of this field. 

MA6912 Future Aviation Technology

Flight technology is advancing at rapid speeds and in several key areas, with a particular emphasis in sustainability, artificial intelligence, EVTOL aircraft and airframe design, among several others. Hence, aviation technology as we know it today is expected to undergo significant changes over the next decades. To keep pace with these emerging technologies and how they may help aviation industry leaders to continue to be relevant and grow over the foreseeable future, good overall understanding of these new technologies will be needed. This will enable them to see the intricate relationships between these new technologies, whether they will be successful eventually and what new opportunities lie over the horizon.

MA6913 Composites in Aviation

The use of composites has been continuously increasing in all types of aircrafts. Composites are essentially different and require different know-how than metals. This course is designed to address the necessity of the aviation sector. All key elements of advanced composites, their inspection and repairs are included in this course. This course shall provide essential background and know-how to the prospective and existing composites engineers in the aviation sector working in Maintenance-Repair-Overhaul (MRO) industry as well as at Research & Development (R&D) centers.

MA6914 Airline Management and Economics

You will gain foundational insights into the airline industry, exploring the technological, economic, socio-political, and environmental forces that shape its cycles of boom and bust. This course is ideal if you are pursuing a career in aviation or aerospace—whether as an engineer, executive, pilot, researcher, airport manager, or regulator. With a focus on Singapore’s MRO-driven aerospace sector, you will learn the fundamentals of airline business essential to understanding the broader aviation ecosystem.

MSc Green Energy Technologies

Curriculum

Core Courses

Elective Courses

Course Synopsis

CORE COURSES

MA6120 Introduction to Renewable Energy Technologies and Fuels

This course covers a comprehensive overview of renewable energy technologies and fuels, focusing on their principles, applications, and impacts on sustainable energy systems. Students will explore energy conversion processes, transmission, and storage, with an emphasis on innovative solutions for addressing global energy challenges. Topics will cover Energy Conversion Processes (including solar, wind, hydropower, geothermal, biomass, tidal and wave, and electrochemical conversions), Energy Transmission, and Energy Storage and Fuel.

MA6121 Applied Mathematics for Engineering

This course equips students with the essential mathematical skills to model, analyze, and solve complex engineering problems. By focusing on three core pillars, Linear Algebra, Partial Differential Equations, and Numerical Methods—students will learn to translate real-world challenges into mathematical equations and solve them using both analytical and numerical techniques. Upon completion, students will be prepared to apply these competencies to practical  fields, including green (clean) energy production, transportation, equipment design and fabrication, vibration analysis, structural failure analysis, and material integrity analysis, etc.

This course is designed for graduate students in green energy technology, mechanical engineering, smart manufacturing, materials science, and related disciplines who are focused on the high-tech world of sustainable energies and robotics industries. It is ideal for those interested in fields such as:

•  Fuel cells
•  Hydrogen production and transportation
•  Carbon reduction
•  Robotics mechanism design and analysis.
•  Automation and Control.
•  Advanced manufacturing systems
Industry professionals involved in manufacturing or industrial processes, such as designers, engineers, and technicians, can also benefit. This course will provide them with state-of-the-art strategies for solving complex engineering problems using the advanced mathematical skills they will learn.

MA6122 Thermodynamic Analysis for Power and Energy Systems

This course aims to enhance graduate students (Master’s or Ph.D.)  in the disciplines of mechanical, chemical, aerospace, and materials engineering to establish a comprehensive understanding of fundamentals of thermodynamics; master analytical skills to identify problems and  find solutions in power and energy systems; develop the abilities to apply the approach to develop thermodynamic analysis for applications in phase changes, combustion, power generation and interfacial effects for thermodynamic systems.

ELECTIVE COURSES

MA6131 Green Hydrogen Systems, Enabling Technologies, Trends, and Future Prospects

This course covers a comprehensive overview of green hydrogen technologies, focusing on their generation, applications, and the latest advancements. Hydrogen technologies, including production, storage, and utilization, are introduced with fundamental principles discussed. The course aims to prepare students for industry, research and development in these critical areas of green and clean energy technologies.

MA6133 Materials for Sustainable Development

This course aims to provide a framework to analyse the role of materials in sustainable product development. Students will be trained to estimate energy content and carbon footprint during various stages of product usage. Life cycle analysis based competing strategies such as environment, social, cost and sustainability.

MA6134 Team-based Design Project for Green Energy

The purpose of this course is to provide students with an end-to-end, studio-style, team-based design experience focused on green energy and sustainability challenges. Students will learn to translate stakeholder needs into engineering requirements, generate and select concepts using evidence-based methods, and develop and validate a prototype (physical and/or digital). The course integrates ESG (Environmental, Social, Governance) considerations and AI-enabled engineering tools to support rigorous design decisions and responsible deployment pathways.

MA6135 Thermoeconomic Analysis of Power Systems

The purpose of this course is to equip students with a rigorous understanding of the principles and methodologies that integrate thermodynamics, economics, and systems engineering to evaluate and optimize modern power systems. By combining exergy analysis, cost allocation techniques, and performance assessment tools, the course enables students to diagnose inefficiencies, quantify the economic impact of thermodynamic losses, and design strategies for improving system sustainability, profitability, and reliability. Students will gain the analytical skills needed to evaluate thermal and green power plants, compare alternative technologies, and support data-driven decision-making in engineering design, energy product pricing, and industrial operations.

MA6090 Sustainability in Project Management

This course covers to cater to the growing need to integrate project management skills with ability to incorporate sustainability considerations and solutions in projects. Students will learn how to incorporate sustainable practices into projects, assess climate change and environmental impacts as well as contribute to building a resilient future.

This course covers introductory in Machine Learning 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. Using Python, Numpy, Pandas and Colab Notebook as its development environment, the presentation of outcome of machine learning computations are achieved through visualization tool, Matplotlib. Scikit-Learn, an extensive well-documented open-source suite of machine learning algorithms serves as the platform to analyse data for underlying trends, classification, identifying criteria parameters, deriving rules for decision making in real-world problem solving, thus leading to a rapid prototyping of a suitable machine learning system.

Topics included are Context of machine learning and data science in Smart Manufacturing for Industry 4.0; Types of machine learning; Unsupervised learning; Supervised learning; Neural networks and reinforcement learning; Model evaluation and improvement.

MA6518 Semiconductor Manufacturing – IC Chips Fabrication and Electronic Packaging

This course provides an in-depth exploration of the semiconductor manufacturing process, focusing on integrated circuit (IC) chip fabrication and electronic packaging. Students will gain a comprehensive understanding of the technologies, materials, and mechanical processes involved in producing cutting-edge semiconductor devices. The course covers key stages from wafer processing, photolithography, etching, deposition, and packaging to testing and quality control. By bridging theory with real-world applications, students will acquire the knowledge to contribute to advancements in semiconductor technology.

MA6814 Structural Integrity for Sustainability and Clean Energy Technologies

In manufacturing a component or assembling a structure, design engineers typically consider various pertinent factors such as functional requirements, reliability, safety, cost and adverse environmental conditions that might potentially affect their product design performance in its lifetime. However, in-service failures of various structural components occur regularly, causing severe loss productivity, environmental disasters, and, at times, loss of life. Such failures occur due to limitations in material performance or critical loading conditions not taken into account during design. With the increasing emphasis on environmental protection, sustainability, and transition into clean energy technologies, it becomes imperative that mechanical engineers incorporate sustainability and emerging green technologies into the designs for structural integrity. Keeping this in view, this course, “Structural Integrity for Sustainability and Clean Energy Technologies,” is designed to train the new generation of mechanical engineers who are well versed in the relevant concepts of the mechanical behavior of materials to the design process as well as case studies in structural integrity and adapt well the changing design concepts due to the emphasis on sustainability, hydrogen economy, and Industry 4.0.

MA6815 Maritime Decarbonization: System Design and Operations 

The aim of this course is to provide students with a comprehensive understanding of the foundational principles and core concepts integral to achieving decarbonization within the maritime industry. By exploring key topics such as the International Maritime Organization's (IMO) greenhouse gas (GHG) reduction strategies, ship energy efficiency measures, and the application of alternative fuels, students will gain the knowledge necessary to critically assess and contribute to the technical, economic, and environmental aspects of decarbonizing maritime operations. The course will also address the challenges and opportunities related to integrating energy-saving technologies, renewable energy sources, and alternative propulsion systems, as well as the long-term impacts of innovations like zero-emission ships and carbon capture solutions. Through a blend of theoretical study, practical analysis, and case studies, students will be equipped to design, evaluate, and optimize maritime systems with sustainability in mind, preparing them to contribute meaningfully to the ongoing transformation of the maritime sector.

MSc Robotics and Intelligent Systems 

Curriculum

Core Courses

MA6210 Introduction to Advanced Robotics and Autonomous Systems

This course will serve as an introductory course in robotics to provide a wholistic overview of the field of robotics. You will learn the fundamentals of robotics and its key component technologies (i.e. Perception, Cognition, Action and System). The course introduces the main applications of robotics technology in the industrial and service domains, e.g. manufacturing, logistics, healthcare and built environment, etc. More advanced topics such as humanoid robots and embodied AI, robotics ecosystem, innovation and entrepreneurship shall be discussed to provide a broad survey of the current and future trends of robotics. Societal impacts and ethical issues of robot deployment will be discussed, including both the positive and negative aspects.

This course equips students with the essential mathematical skills to model, analyze, and solve complex engineering problems. By focusing on three core pillars, Linear Algebra, Partial Differential Equations, and Numerical Methods—students will learn to translate real-world challenges into mathematical equations and solve them using both analytical and numerical techniques. Upon completion, students will be prepared to apply these competencies to practical fields, including green (clean) energy production, transportation, equipment design and fabrication, vibration analysis, structural failure analysis, and material integrity analysis, etc.

This course is designed for graduate students in green energy technology, mechanical engineering, smart manufacturing, materials science, and related disciplines who are focused on the high-tech world of sustainable energies and robotics industries. It is ideal for those interested in  elds such as:

• Fuel cells

• Hydrogen production and transportation

• Carbon reduction

• Robotics mechanism design and analysis.

• Automation and Control.

• Advanced manufacturing systems     

MA6215 Robotics Projects

MA6788 Independent Study

The MA6788 Independent Study course aims to provide an opportunity for students to work on actual industry projects within an actual industry environment. Students are expected to apply theoretical learnings to address real industry problems and carry out projects in a systematic way, which includes project definition and scoping, project planning and scheduling, resource planning and financial budgeting, progress and result reporting and presentation etc.

Through this project-based course, students will gain valuable industry exposure and working experience, improve problem solving capabilities, enhance communication and leadership skills. The ultimate goal of the course is to bridge the gap between theoretical learning and practical problem solving, thus laying a solid foundation for students to embark on their career development in various industries.

Note: Students taking this course are expected to work on a project over the semester, in an actual industry context through an internship or work stint. The MA6788 Independent Study course is available to students on the coursework only study option. Students who have converted to the coursework and dissertation study option are not allowed to enrol in the MA6788 course.

For more information on the course registration process, please visit the Current Students Page.

MAE Research Programmes - Doctor of Philosophy (PhD) / Master of Engineering Degree (MEng)

Candidature and Graduation Requirements

To be eligible for the award of a PhD or MEng Degree, a student must fulfil the following conditions:

• Obtain the total AU required for the completion of the programme within a period between the minimum and maximum candidature period stipulated for the programme.
• Fulfil the course requirements for the degree programme.
• Fulfil the minimum Cumulative Grade Point Average (CGPA) for graduation.
• Complete thesis examination and oral defence for the PhD programme, and thesis examination for Master’s by Research programme.
• Fulfil 50% of the total AU required with courses from their Academic College (for research programmes except Interdisciplinary Graduate Programme).
• Fulfil the residential requirements (i.e. minimum years of study at NTU) for joint degree programmes.
• Fulfil the minimum AU requirement for letter-graded courses from NTU (for research programmes).
• Satisfy all other requirements prescribed by the programme of study or School.

Curricular and Academic Unit (AU) Requirement

Students are required to complete graduate-level courses as part of their coursework, as follows:

*Recommended to take School of MAE courses (e.g. MA6xxx, MA7xxx)

Academic Load

MEng students may register up to 9 AU per term of study, while PhD students may register up to 15 AU per term of study.

Academic Standing

Satisfactory Academic Performance

In any term of study, a research student is deemed to be making satisfactory progress if he meets the following conditions:

• Attain a minimum TGPA and CGPA of 3.00 for Master’s  programme and 3.50 for PhD programme; and 

• Attain at least Grade Point 2.50 (grade C+) in every course; and 

• Complete all course requirements within the confirmation period as prescribed under Qualifying Examination. 

Unsatisfactory Academic Performance

A research student with unsatisfactory academic performance will be accorded the following academic standing and subjected to performance review:

Failure to fulfil coursework requirements may result in termination of financial aid and/or academic termination.

Appeal against academic termination on the grounds of extenuating circumstances may be made. The appeal must be submitted to the relevant School within 2 weeks after the release of course results or before the start of the next term, whichever is earlier. Only one appeal is allowed per candidature.

English courses for Full-time PhD students – HWG703 (Graduate English) & HWG702 (Small Group Teaching)

Full-Time PhD students will be required to take and pass both HWG703 and HWG702. Unless you have been exempted from HWG703, you must register and pass HWG703, before you can take HWG702.

The School will notify students who are granted exemption from HWG703. Students are to register HWG703 via the GSLink – Graduate Course Registration System during Registration Period.

For HWG702, the students will be informed of the registration in due course. 

PhD scholars will be required to pass HWG702 by their Qualifying Examination before they can be granted the S$500 RSS stipend increment. Those who have yet to pass HWG702 at the point of their confirmation may proceed with confirmation of candidature without the S$500 stipend increment till they pass HWG702.

There will be no backdating of stipend increment for these candidates when they subsequently pass HWG702. The increment will be affected from the date on which the candidate passes the module.

Epigeum Research Integrity (ERWA01)Course 

All research students are required to complete the Epigeum Research Integrity Course, ERWA01, within their first semester. ERWA01 is a research integrity course with 0 AUs (non-credit) that is applicable to ALL NEW PhD and Masters (Research) students who join NTU. The ERWA01 course site will be available on NTULearn on the first day of the semester starts. 

The ERWA01 exam will be administered by RIEO for all newly registered Postgraduate by Research students.

The exam details are as follows:  

Postgraduate Research Interdisciplinary Collaborative Core (PGR ICC) course (GP8000: Artificial Intelligence Literacy)

Course Information 

Artificial Intelligence Literacy is a 9-contact hour course consisting of: 

• 5 Lectures comprising 4 Modules (hybrid mode, flipped classroom). Each module consists of recorded lecture(s) with individual assessment (MCQs)
• Independent group project (~5-6 students per project)

Group project presentation and discussion:

• Compulsory : Briefing Session in Week 3: Introduction to the group project outlines and meeting your group members.
• Optional Tutorials in Weeks 6 and 9: Two sessions for groups to collaborate on their projects and consul with tutors.
• Compulsory : Tutorials in Weeks 12 and 13 (2 x 2 hours) : Group project presentations, facilitated discussions, and peer evaluations, including assessments of individual contributions to the group work and presentation.

 Course Aims

The Artificial Intelligence (AI) Literacy course aims to give an overview of AI tools, ethical issues as well as applications in both STEM and HSS.  This is to equip the postgraduate students with knowledge of AI since AI is the fast becoming an integral component for all industries. 

Preparation for Qualifying Examination (QE)

PhD Qualifying Examination (QE) 

1. Students with 6 to 9 AUs of credit transfer/exemption are eligible for the QE, after they complete the remaining AUs of NTU coursework with CGPA ≥ 3.5 and pass the oral presentation.

2. The timeframe for completing the qualifying examination is within 24 months. However, students are strongly encouraged to complete the coursework requirement and QE within the first 18 months.

 
MEng Coursework Requirements & Confirmation Exercise

1. Students should obtain 9 AUs with a CGPA ≥ 3.0.  Of this 9 AUs, a minimum of 3 AUs should be 7xxx series course(s).

2. Confirmation Exercise must be fulfilled in the first 12 months of your Candidature.

Communications / Writing Training for PhD students

PhD students admitted in the AY2019-2020 and beyond, unless being granted waiver, must complete the compulsory components of this programme as a graduation requirement. The completion is not a pre-requisite for Qualifying Examination. 

Compulsory : All PhD students must complete one of the communications courses of 39 training hours. PhD students are expected to take this course between QE and final thesis defence.

• The courses will be Pass/Fail courses. Students can take any one of these courses to fulfil this requirement: Communications / Writing Training Programme | Graduate College | NTU Singapore

Compulsory:  All PhD students must participate in a 3-minute thesis (3MT) presentation symposium before graduation.

• Symposia of 3MT are co-organized by the Graduate Students Associate (GSA) and Graduate College. 

Optional:  Should students need one-on-one tutoring/mentoring, they can schedule appointments with special tutors at LCC Communications Cube or NIE Grad Centre for individualised feedback on their writing and oral communication skills.