MS Communications and Signal Processing
The MS in Communications and Signal Processing is a two-year graduate degree with a specialization in communications, networking, machine learning, artificial intelligence, signal processing, and data science. Additionally, it provides you with a wonderful opportunity to gain advanced knowledge in all computer-related fields. Theoretically, signal processing and communications lay the groundwork for every application that generates, processes, transmits, or stores signals of any form. Signal processing and communications are critical pillars of today's machine learning revolution and the Internet of Things.
- Advanced Wireless Communications
- Advanced Coding Techniques
- Machine Learning for Signal Processing
- Adaptive Signal Processing
- Digital Signal Processing Laboratory
- Discrete-Time Signal Analysis
- Digital Communication Fundamentals
- Image Processing
- Bachelor’s degree from a recognized university/institute in any discipline with at least 60% marks or CGPA 2.00 out of 4.
- Passing marks in entry test.
MS Communications and Signal Processing provides chances for students to get a grasp of both theoretical underpinnings and advanced areas at the cutting edge of signal processing and communications research, including:
- Machine learning.
- Deep neural networks for compressive sensing.
- Numerical Bayesian approaches in wireless communication theory.
This curriculum will appeal to graduates interested in pursuing careers in the following industries:
- Machine learning and deep learning
- Data science
- Internet of things
- Medical imaging
- Anywhere else signal processing is applied