Undergraduate

-B.Eng. ACE (2004-05)
-B.Eng. ACE (2001-04)
-B.Eng. IDE (2001-04)
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Postgraduate
-PhD Programme
-MPhil Programme
-Part-time MSc Programme
-Postgraduate Courses
-Financial Assistance
-Admission Requirements
 
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PhD Programme


The Ph.D. programme has a normative study period of 36 months for full-time students with a research-oriented Master's degree and 48 months for students without one. The maximum period for full-time student is 84 months. A Master's degree holder is required to complete, with a minimum grade of B-, at least two graduate courses related to his/her research based upon the supervisor's advice, and to take the T-courses every term from the time of admission throughout his/her thesis preparation until the thesis is finally submitted.

A candidate without a Master's degree must first enroll in the M.Phil. programme for at least one year before he/she is eligible for consideration to be transferred to the Ph.D. programme. In this case, the candidate is required to complete, with a minimum grade of B-, at least six graduate courses related to his/her research upon the supervisor's advice.

As a requirement for graduation, students must carry out a substantial amount of research which will lead to original results worthy of publication in scholarly journals. They are also required to pass the University IT (information technology) Proficiency Test and departmental qualifying examination.

The Department will consider admission of part-time Ph.D. students with Master's degrees and strong academic records. Part-time students will be required to take regular graduate courses offered in the day time. The normative study period for part-time students with a research master's degree are 48 months and for students without a research master's degree are 64 months. The maximum period are 96 months.

Fields of specialization

Department offers research studies in the following fields:

  1. CAD/CAM
  2. Virtual Reality
  3. Computer Vision and Image Processing
  4. Computational Intelligence and Intelligent Systems
  5. Micro and Nano Systems
  6. Innovation and Design
  7. Manufacturing Automation
  8. Robotics
  9. Sensors and Actuators
  10. Smart Materials and Structures
  11. Signal Processing
  12. Structural and Materials
  13. Optimization Systems and Control

 

 

 

 

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