About the Program:
The MS programme in Electronics and Communication Engineering (ECE) is a research-based programme that imparts the knowledge, skills and attitude to contribute to world class research in the area of ECE. The research can be in any of the broad areas in ECE. The core strength of the institute is currently in the following core areas: signal/speech /image processing, VLSI and embedded systems, robotics, and communications. The thesis work requires understanding the state of art in an area, analysis and refinement of ideas with sufficient mathematical rigour and validation. The research is expected to be of sufficient quality to be publishable in leading international conference and journals pertaining to an area of research.
This programme has a limited amount of course work that can be completed in one year. The course work is aimed at providing a student with sufficient breadth and to carry out research. The main emphasis is on the research work leading to a thesis. Typically students decide on their research area and faculty advisor within the first year while doing course work. Thereafter, the steps involved are: finishing course work (to build research background and breadth), conducting research to develop a thesis and thesis defense.
Flexible (Minimum: 3 semesters minimum; Maximum: 6 semesters for regular and 8 semesters for part-time). Typical duration varies between 2-3 years.
All who have completed (or going to complete) BE/B.Tech. in Engg (ECE, EE or Computer Science.) or Master's degree in Science/Maths/IT/ICT/Computer Science or MCA.
Breadth/Depth Requirements: A student should demonstrate the knowledge of the basic courses in at least 4 stream areas and must take an advanced course in a minimum of 3 stream areas. Typically, a student takes 3 elective courses in each of the first two semesters, and thereafter is expected to focus on thesis work.
Sample elective courses typically offered in the institute include:
- Speech Processing
- Artificial Neural Networks
- Digital Image Processing
- Computer Graphics
- Computer Vision
- Pattern Recognition
- Advanced Signal & Image Processing
- Digital Communications
- Digital Signal Processing
- Time Frequency Analysis
- Adaptive Signal Processing
- Multirate Signal Processing
- Machine learning
- Embedded Systems
- VLSI Algorithms
- Digital Design with VHDL
- Analog and Mixed Signal Design
- Computer Architecture
- Advanced Embedded Systems
- Embedded Systems for Robotics
- Numerical Methods
Page last updated on 15th February, 2019