Option to pursue a dissertation project in lieu of two courses

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MAE Graduate Study Grant

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

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

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

If you are interested, please complete and submit the MAE Graduate Study Grant Form to MAE Graduate Studies Office ([email protected]). Deadline for submission [August 2025 intake] will be announced soon.

Candidates must possess 

(A) A good bachelor’s degree in Mechanical or Industrial engineering or a related discipline with mathematical and production training, or 

(B)  A bachelor's degree in engineering or a related discipline with mathematical training and 2 years relevant industry experience, and

(C) A good TOEFL score (iBT = 85 or more, PBT = 563 or more, CBT = 223 or more) or IELTS score (6.0 or more) for graduates of universities in which English is not the medium of instruction. Please ensure that you upload a scanned copy of TOEFL/IELTS along with your application (hardcopy is not required).

Related disciplines include but are not limited to bachelor's programmes offered by the College of Engineering, Nanyang Technological University, Singapore.

Applicants must also provide 2 letters of reference from academic or professional supervisors and a clear statement of purpose in support of their application.​

 Admissions Application period for August 2025 intake will be from 4 November 2024 to 28 February 2025.

Full-Time (min. 1 year, max. 2 years) and Part-Time (min. 2 years, max. 4 years);

30 AUs coursework or 24 AUs coursework and a dissertation 

Option	Description	No. of Courses	Core	Electives
1	Coursework and Dissertation#	8 Courses + Dissertation	4	4
2	Coursework Only (*Default Option)	10 Courses	4	6

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

*Please note that ALL students will automatically be assigned the default Option 2 - Coursework Only. If you wish to apply for Option 1: Coursework and Dissertation, you must apply using the "Application for Conversion of Option of study" form during your first Semester.

CORE COURSES

 

ELECTIVE COURSES

 

Course Synopsis

Core Courses

MA6901 EVTOL Aircraft Design

Manned and unmanned eVTOL aircraft and advanced air mobility have become the hot new topics for future urban transportation. This course will provide an opportunity for students  to learn the technologies for these unique aircraft and explore their applications. 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. The course will focus on electric powered VTOL aircraft.

 

MA6902 Aircraft Operations

Commercial aviation is a complex industry closely linked to airlines, aerospace manufacturers, maintenance organisations, government regulatory bodies, airports and many support services. At the core of this complex network
is the aircraft. This course provides the student with a broad understanding of the basic operation of a modern commercial aircraft. Regulatory requirements and interactions with various support services are discussed.

 

MA6903 Aviation Safety and Human Factors

Safety is integral with aircraft operation. To ensure safety in operation and maintenance we need to build a strong safety culture.  This course explains the elements of a safety culture. We start with Safety Management System (SMS) which is a legal requirement for all aviation companies. The key elements of SMS such as Human Factor & Error Management (HFEM), Risk Management, Reporting Culture, Just Culture and Accident Investigation will be discussed in detail. Finally, students will learn the process of setting an effective SMS in an aviation organisation.

 

MA6904 Air Transportation Systems

Air Transportation is a complex system of systems, whose emergent behavior is governed by non-linear interactions amongst airports, air traffic and airlines as well as humans and  weather. This course focuses on developing quantitative models of various air transportation sub-systems to gain an insight into their interactions. This course provides an introduction of the entire field, including airline networks, airport terminal design, navigation, communication, surveillance, air traffic control, runway and airspace capacity and delays, aviation environment, and safety. The course assesses the critical role of humans and impact of weather on air transportation. The environmental impact of air transportation is also analyzed and modelled for developing mitigation strategies. The course delivers simulation and modelling concepts for air traffic for hands-on learning.

 

Elective Courses

 

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.

 

MA6911 Flight Navigation and Control

The methods of formulating and solving problems concerning the flight dynamics and control must be central to the design and operation of modern aircraft to ensure efficient, comfortable and safe flight. A thorough understanding of the underlying principles and the essential techniques in the field of flight control are quantitively discussed through the existing analytical, computational and experimental tools. Hand in hand with the development of these general concepts’ key sensors and instruments of flight navigation are paired with dedicated gauges for the measurement, and prediction of aerodynamic forces required to validate the numerical models. Real-world applications of flight dynamic and control are discussed in relation to certification requirements of fixed and rotary wing aircraft, and VTOL, and their acceptable means of compliance.

 

MA6912 Future Aviation Technology

The course will introduce students to several key up-and-coming technologies that are predicted or already beginning to have significant impact upon the aviation industry.  Each of these emerging technologies will be covered between 1 to 2 lectures, where their fundamental working principles will be introduced and their implementations explained, with case studies to illustrate their impact.

 

MA6913 Composites in Aviation

This course will begin with the introduction to composites, their design and manufacturing concepts. It will cover the topics on damages to aircraft composites, their detection, inspection techniques, and finally, the small- and large-scale repairs of aircraft composites.

 

MA6914 Airline Management and Economics

This course provides detailed analysis of airline economics largely driven by Revenue, Cost, Market and Regulation. Market and Network structures are discussed along with various business models. The impact of de-regulation, high oil prices and world financial crises are discussed. Vulnerability to disruptions by ground support services, terrorists and Infectious diseases underlines the complexity of the airline business.

The programme is ideal for engineering graduates (e.g., Aerospace, Mechanical, Electrical and Computer Science) and professionals looking to specialize in the aviation industry or advance their careers with the latest industry knowledge. The programme is also suited for those aiming for leadership roles, providing critical perspectives into aviation management and decision-making.

Graduates can pursue diverse career opportunities in areas such as Aerospace, Automation, Aircraft Manufacturing, Air Traffic Management, Aviation Safety.

Fees

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

Fees are subject to annual revision.

• NTU Alumni students are entitled to 10% study incentives in the form of reduction in fees.
• Students who are Singapore Citizens and Singapore Permanent Residents will receive a one-time subsidy of $5,000.

Notes on payment of fees:

Students will be billed after course registration period each Semester, and payment due date is 2 weeks after billing date.
A student who withdraws or leaves the University after course registration period is liable to pay the fees due for the semester.