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.

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.

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.

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.

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.

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.

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.

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

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.

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.

MSc Smart Manufacturing

Curriculum

Core Courses

Electives Courses

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

Course Synopsis

Core Courses

MA6501 Manufacturing Control and Automation 

This course provides 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.

The course covers the following topics: Manufacturing process modeling; Automation technology: robots; Automation Technology: machines; Robotic control; Machine control.

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.

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.​

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.

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.

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 

MSc PM Programme and Curriculum Information - Intakes up to AY2023

MSc PM Programme and Curriculum Information - Intakes from AY2024

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

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.

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.

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.

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.

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.

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.

MA6716 Manufacturing and Service Operations Management

MA6731 System Reliability & Risk Analysis

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.

Joint NTU-UOM MSc Project Management 

Dissertation Introduction

The MSc PM Dissertation Module involves you being able to complete an extensive research project dealing with a work-based problem.

A research dissertation is based on the traditional approach to researching a challenge whereby a number of hypotheses questions / aims / objectives are formulated from a specific research question or problem. You must then collate information from published literature pertinent to the stated aims and objectives. Investigation of these questions is done by following relevant quantitative and analytical techniques; data is collected, analyzed and reported. You must then critically integrate and evaluate the data in the light of other published work and make reasonable conclusions from the data and background information that is relevant to the original aims and objectives.

You are highly encouraged to choose a work related problem for your MSc PM dissertation so that you would be able to relate better and propose solutions at your workplace.

Process flow and Milestones

Please find appended the overall dissertation process flow. Please take note of the mandatory milestones that are set to help you plan and complete your dissertation on schedule.

Dissertation_Process_Flow

Registration of Dissertation

MAE MSc Dissertation System

Please register your project via the GSLink, “MAE MSc Dissertation System”.

To ensure legitimacy and suitability of the project, prior discussion with your Supervisor is advised. Your project will be registered upon the approval by the Programme Director and an email notification will be sent to you informing you of the outcome of your registration.

If you have any enquiries regarding proposing a topic for your project, please approach your Programme Director for advice.

Please take note that registration of the Dissertation title is mandatory and must be completed within 6 weeks from plenary introduction of Dissertation.

Research Integrity (RI)

The University Research Integrity Office (RIO) has stipulated that all postgraduate students must complete the online Research Integrity (RI) NTULearn course. Apart from a short Introduction to RI, this 5 module course provides details on planning and conducting research, reporting research results and societal responsibilities of researchers. You need to answer the on-line module quiz with 100% success rate (MULTIPLE ATTEMPTS ARE ALLOWED). Please also complete the course survey to get your Epigeum course certificate. Expected time to complete the course is 5 to 8 hours. MSc Project Management delegates doing dissertation, will have to complete the course within the first 6 months of starting your dissertation

The instructions to self-enroll in the course site are appended:

ERIC-STUDENT Access Guide (self-enrollment)

Submission

Interim Report Submission

You are required to submit the following documents to your Supervisor and Dissertation Co-ordinator within six months.

1. Interim report
2. Updated Dissertation Project Plan
3. Copy of Epigeum Course certificate

The Interim report should include the following:

• clearly define project’s objective(s)  
  indicate the progress of the project
• possible chapter’s heading of the final dissertation
• indicate obstacles that might prevent the accomplishment of the project’s objective or timeline
• action plan to overcome the obstacles

Interim Report Submission Deadline:

                                               July 1^stweek (for Dissertations started in Jan)

                                               Jan 1^stweek (for Dissertations started in Jul)

Change of Dissertation Title/Dissertation Supervisor

For changes in the Title/ Supervisor of the registered Dissertation, please complete the Application for Change of Dissertation Title - Dissertation Supervisor - Withdrawal from Dissertation and submit it to the MAE Graduate Studies Office.

Dissertation Submission

Guideline plan for meeting the July convocation

Submission of Hard-Bound copies of Dissertation

The Examiners will review the Dissertation and return it to the MAE Graduate Office with a confidential report. If further amendment is required, MAE Graduate Office will inform you through the Supervisor. You will then be required to submit one hard-bound copy of your Dissertation after the final amendment to MAE Graduate office.

Note: Please submit hard-bound copy to the supervisor if the submission has been requested by the supervisor.

Assessment Timeline

Note: The time period mentioned below is only an approximate timeline.

Guideline for Dissertation Writing

 Please find appended the Guidelines for MSc Dissertation

Guidelines to writing MSc PM Dissertation