Master Degree For Mechanical Engineering – Mechanical engineering is a discipline with a long history of technological innovation, and is at the forefront of a new wave of technological advancements characterized by digitization, connectivity and information.
With excellent faculty, facilities, and a rigorous yet flexible curriculum, the MSc in Mechanical Engineering builds a strong foundation in fundamental principles of structure, dynamics, and control, and provides students with advanced tools for analysis, design, manufacturing, and various. products and service systems.
Master Degree For Mechanical Engineering
Graduates from the program are expected to find jobs and pursue careers in a wide variety of industry sectors including: electronics, semiconductors, machinery and robotics, advanced manufacturing, building and construction, pharmaceuticals, aerospace, Space, Defense, Marine, Oil and Gas.
Master Of Science In Mechanical Engineering
The MAE Postgraduate Study Grant is awarded to outstanding postgraduate students seeking admission to MAE Masters of Science programmes. At the top of each program’s entry requirements, applicants will be evaluated based on a number of factors including academic record, work experience, past achievements and awards, nationality, financial need, etc.
Shortlisted candidates will be invited to interview, and successful candidates will be informed of the results shortly after being offered entry. Grant recipients will be awarded co-funding (25% or more) of their tuition fees at the time of matriculation.
Recipients are expected to maintain a CGPA of 3.50 each semester to maintain eligibility for the grant.
If you are interested, complete and submit the MAE Postgraduate Studies Grant Form to the MAE Postgraduate Studies Office ([email protected] ). The deadline for submission is 31 August 2023 [January 2024 build].
Department Of Mechanical Engineering
(a) A good bachelor’s degree in mechanical or industrial engineering or in a discipline related to mathematical and manufacturing training, or
(b) A Bachelor’s Degree in engineering or a discipline related to mathematical training and 2 years of relevant industry experience, and
(c) A good TOEFL score (iBT = 100 or more, PBT = 600 or more, CBT = 250 or more) or IELTS score (6.5 or more) for graduates of universities where English is not the medium of instruction.
Please ensure that you upload a scanned copy of TOEFL/IELTS with your application (hard copy is not required).
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Relevant subjects include, but are not limited to, Bachelor’s programs offered by the College of Engineering, Nanning University of Technology, Singapore. Business graduates will also be considered if they have relevant expertise and/or relevant experience; A letter from the employer must be supported by relevant experience
Applicants are also advised to provide reference letters and a clear statement of purpose to support their application
*Please note that each student will be automatically assigned default Option 2 – One Coursework. If you wish to apply for Option 1: Coursework and Dissertation, you must apply using the “Request for Change of Study Option” form during your first semester.
In addition to the basic and special requirements above, students must also achieve a minimum CGPA of 2.50 to graduate.
Master’s Degree In Mechanical Engineering
The aim of this course is to provide you with knowledge of thermal engineering problems at a high level that transcends the senior years to the undergraduate level. Topics include basic principles of heat flow and convection, and methods of solution.
The course covers the following sections: heat speed; basic equations for fluid and energy; Equivalence, Latent Equations and Potential Flows; wax boundary layer theory; Thermal Boundary Layer Theory; free transportation; Internal flow transfer heat transfer.
The purpose of this course is to introduce the students to the basic principles of engineering measurements, to discuss various related concepts and terms. The mathematical background required to classify and analyze different measuring devices will be presented. Then various classical and modern methods for measuring quantities of scientific interest, such as displacement, movement, stress, force, flow, pressure, temperature, etc. will be discussed in detail.
This course focuses on using numerical methods to solve problems on the computer. You will learn to understand the behavior of numerical calculations and develop stable solutions to mathematical and engineering problems.
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The course covers the following areas: object modeling and algorithms; correction; Approximation & interpolation; large-scale systems of linear equations; numerical difference; numerical integration; numerical methods for ordinary differential equations; Numerical Methods for Partial Differential Equations.
The aim of the course is to give you a comprehensive understanding of the fundamentals of the latest topics in Solid Mechanics, including aspects of mechanics and aspects of materials.
The first part of the current course will cover the following advanced topics: static neutrality, stress concentration, and shear and viscosity. The second part focuses on a very useful and general engineering structure, plate and shell, their governing equations, and especially some numerical analysis. The third section introduces the most advanced and widely applied material of the last few years, infinite composite materials. Different components of the material are assembled in the closed lamina. The fourth section closes with an introduction to the applications of laminates as plates described above with materials such as bending, vibration and buckling.
This course is designed to provide participants with a basic knowledge and general analysis of 3D printing processes.
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The course covers the following topics: introduction to additive manufacturing; UV photopolymerization; depth of content; material extrusion; sheet lamination; Powder bed fusion; direct energy storage; binding bond; design for plug-in manufacturing and file formats; additive manufacturing applications; future standards and trends; Case study.
This course provides graduates with an understanding of the manufacturing processes required to provide the shape, dimensions and properties of materials at a reasonable cost. Starting from the nature of the raw materials available for molding, the different ways of molding them will be explained. Emphasis will be placed on relating the nature of the process to the forms, dimensions and properties that can be achieved. Case studies will be used to facilitate understanding of the selection of various component manufacturing processes. The course aims to provide students with comprehensive coverage of modern manufacturing processes, with an emphasis on the quantitative treatment of manufacturing to introduce manufacturing science concepts and mathematical models to describe and design processes, and to relate theoretical concepts to industrial practice. studies and assignments.
The course contains the following sections: product overview; consolidation process; metal formation; The process of adding content; the process of deleting the content; Processing of metal particles and ceramics; assembly technology; Production process selection and process planning.
The objective of the course is to provide basic engineering knowledge and apply the concepts to industrial situations. In offering the course, MSc Smart Manufacturing aims to provide a solid foundation for manufacturing science in precision engineering and enable a good understanding of concepts that can be applied to industrial problems.
Master’s Degree Programme In Mechanical Engineering
The course covers the following topics: overview and history of health engineering; tolerance technology; measure ; Principles of precision machine design; mechanical
The course covers the fundamentals necessary to 3D print smart electronics and sensors. It is ideal for preparing students for the future of smart and innovative manufacturing technologies. And this course provides a comprehensive overview of recent developments and discusses the basics of 3D printed electronics technologies, their respective advantages, disadvantages and potential applications.
Topics include: an introduction to traditional electronics manufacturing and electronics 3D printing; Traditional contact printing techniques for printed electronics; Free 3D 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 and future trends of 3D printed electronics; laboratory visit; Workshop.
The course covers the following topics: Supply Chain Management: Issues and Challenges, Risk Pools; 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 Considerations in Supply Chains; inventory-carrying trade-offs; supply contracts; Risks in global supply chains and supply chain strategies.
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The main objective of this course is to provide an insight into effective decision making using simulation modelling. Much of the time in the course is spent on simulation modeling of discrete events. Building components of simulation models of discrete systems (such as production and logistics facilities, supply chains) are covered in detail. The course also demonstrates the effectiveness of computer simulation to successfully model, analyze and optimize the system being studied. Simulation software (Arena) is used to demonstrate the construction and operation of the model. Continuous and integrated system design is also covered in the last part of the course. The course also covers the topic of creative life cycle analysis, and issues such as model validation and validation. In addition, it looks at the modeling of input data and the analysis of model outputs.
The course covers the following topics: discrete event simulation; basic model building blocks; creative case studies; Modeling of production facilities; supply chain simulation; Creation Workshop; continuous innovation; Creativity in the process industry; input-output analysis; creative life cycle analysis; Validation and verification of models, simulations and languages.
This course covers the concepts and techniques necessary for quality assurance. They involve classical and modern qualitative methods, as well as statistical methods to improve or optimize processes and products. In addition to management insight, the emphasis is on understanding strategies and tools from an engineering perspective, as well as built quality and life cycle rather than local defect prevention.
The course covers the following topics: systems approach to quality standards; improvement strategy; Performance analysis; control chart applications; Six Sigma Framework; process modeling; experimental
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