NIT Goa Ph D Admission-16

Can you tell me about the minimum academic eligibility criteria for applying for admission to Ph. D programme offered by NIT or National Institute of Technology Goa?

The minimum academic eligibility criteria for applying for admission to Ph. D programme offered by NIT or National Institute of Technology Goa are as follows:


Ph.D. programme (Discipline and Qualifications)

Engineering and Technology
Master Degree in Engineering or Technology in the relevant discipline with a minimum 6.5 CGPA on a 10 point scale grading system or 60% marks in both
Bachelor and Master Levels from recognized Technical Institute or University.

For SC/ST candidates a minimum 6.0 CGPA on a 10 point scale grading system or 55% marks.

Candidates will be considered for Ph.D. programme on the basis of:
GATE score.

Humanities & Sciences (Chemistry, Physics, Mathematics and English)
Master degree in Sciences or Humanities / M. Tech. in the relevant area with a minimum 6.5 CGPA on a 10 point scale grading system or 60% marks in both Bachelor and Master levels from recognized Institute or University

For SC/ST candidates a minimum 6.0 CGPA on a 10 point scale grading system or
55% marks.

Candidates will be considered for Ph.D. programme on the basis of:
GATE score or CSIR/NBHM/UGC-NET qualified.


Indicative list of Broad Areas of Research

Computer Science and Engineering:
Hardware-Software co-design, Reconfigurable computing, HPC application acceleration. Content Based Information Retrieval, Computer Vision, Machine Learning, Pattern Analysis, Virtual data center and Cloud computing, High speed wireless network, Performance evaluation of computer systems

Electronics & Communication Engineering:
RF and Microwaves, Antennas, Communication theory, Wireless communication, Power line communication, Diversity combining, Multi-hop transmission, Smart-grid communication, Biomedical Signal Analysis and Processing, Signal and image processing, Assistive Technology, Machine Learning, Expert Systems, Multi-resolution Analysis like Wavelet Transforms, Time-frequency based Analysis, Finite Field Transforms and their application to Cryptography, Analog and mixed signal Circuits, Microelectronics and Embedded systems, Bio-Photonics, Point-of-Care Diagnostics, Nano devices and systems, Hybrid energy system, Terahertz Imaging/ Microwave Imaging.

Electrical & Electronics Engineering:
Power Systems, Control Systems,
Power Electronics and Drives, Digital Signal Processing.

Humanities and Sciences:

Chemistry: Electron Paramagnetic Resonance spectroscopy.

Mathematics: Linear and Nonlinear Stability analyses of convective flows, Hydrodynamic Instabilities and Fluid Mechanics, Inverse
Problems, Numerical Optimization, Partial Differential Equations, Finite
Element Method, Mathematical Biology.

Physics: Photonics and Fiber optic Sensors.

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Answered By StudyChaCha Member