MSc/PGDip/PGCert Mechanical Engineering
Course overview
Qualification | Master's Degree |
Study mode | Full-time |
Duration | 1 year |
Intakes | September |
Tuition (Local students) | Data not available |
Tuition (Foreign students) | ₹ 1,372,711 |
Admissions
Intakes
Fees
Tuition
- Data not available
- Local students
- ₹ 1,372,711
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- Data not available
- Foreign students
Student Visa
- Data not available
- Foreign students
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Entry Requirements
- A UK honours degree of 2:1 or above in Mechanical Engineering accredited by the Institution of Mechanical Engineers, or an accredited degree in a closely related subject such as Physics.
- A UK honours degree of 2:2 in Mechanical Engineering accredited by the Institution of Mechanical Engineers, or an accredited degree in a closely related subject such as Physics, and three years relevant industrial experience (please tell us about your experience in the 'personal statement' section of your application).
- A first degree from an overseas institution that can be shown to be equivalent to a UK Honours degree of 2:1 or above in Mechanical Engineering or in a closely related subject such as Physics.
- A first degree from an overseas institution that can be shown to be equivalent to a UK Honours degree of 2:2 in Mechanical Engineering or in a closely related subject such as Physics, and three years relevant industrial experience (please tell us about your experience in the 'personal statement' section of your application).
- Appropriate academic or professional qualifications equivalent to the above which you should describe in detail in your application.
Curriculum
The full Master's course comprises 180 credits divided into three 60 credits stages: Postgraduate Certificate, Postgraduate Diploma, and Masters. Students work incrementally through the three stages and must pass all modules at each stage in order to progress to the next.
Core modules include:
- Modelling and Simulation - An introduction to finite element analysis, practical composite Finite Element modelling techniques and computational fluid dynamics.
- Computer Vision and Modern Control - Explores imaging, image formation, image processing and analysis, 3D vision, virtual engineering, virtual instrumentation and digital control.
- Innovations in Operations Management - An in-depth look at innovations strategy, managing operations and processes, open innovation and the underpinning theories of the management of innovation learning, resource based value and social capital.
- Masters Group Project - Working in groups on research programme design, along with design and development programmes, including stakeholder requirements, specification development, revision of design process, analysis and modelling, and design for manufacture as well as purpose.
Optional modules include:
- Design of Fluid Systems - An in-depth look at the design hierarchy for fluid and thermal systems, finite origins of the governing equations, analytical solutions and their shortcomings, difference method, application to governing equations and numerical stability.
- Structural Integrity in Design - Here, you will advance your knowledge in structural integrity concepts, failure criteria, designing against fatigue, non-destructive testing and inspection techniques, structural health monitoring and fracture mechanics.
- Industrial Applications of Vision and Automation - Explores methods of machine vision and automation, software based image analysis and computer vision, to solve industrial inspection problems.
- Robotics Fundamentals - An introduction to the fundamental issues in Robotics, which are now common in both industry and service robots; including Manipulator trajectories and dynamics, use of software to simulate manipulators and kinematics solutions for manipulators with multiple degrees of freedom.
- Intelligent and Adaptive Systems - You will explore the application of Intelligent and Adaptive systems in a range of problem domains and the defining characteristics of these systems which include autonomy, learning, pattern recognition, and the ability to deal with uncertain and imprecise data.
*The optional modules available to you may be determined by the subjects you have studied in your degree.