Master of Technology in Communications, Signal Processing and Learning

PhD Program (last date:
11 April 202420 April 2024)  MTech Programs (last date: 08 April 2024)
MTech Course Structure
The course structure is common for 2year MTech and 3year MTech programmes
Core Courses (9+2+2 Credits) 

Random variables & stochastic processes (3) 
Matrix theory (3) 
Courses from core basket (3) 
Labs (2) 
English communication (1) 
Industry lectures (1) 
Elective Courses (15 credits) 

Divided into 3 baskets (Communications, Signal Processing, Learning) 
Students must take at least 2 credits from each basket 
Thesis (24 Credits) 

Work on project with a faculty advisor 
The 2year MTech (TA and selfsponsored) students typically start working on a project during the second semester. 
The 3year MTech (RA) students are assigned a project from the start, and get to spend 3 years working on their project. There is greater emphasis on research and development, and many students publish in toptier conferences/journals by the time they graduate. 
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Fees and Stipend
 Fee Details will be updated in July 2024.
 2year MTech (TA) students receive stipend from the Ministry of Education
 3year MTech students are supported by projects carried out by faculty members
Stipend:
MTech admissions
 2year MTech: Online application, typically open during midMarch to midApril.
 3year MTech
 August admissions: online application typically open during midMarch to midApril
 January admissions: online application typically open during November
Admission Process
 Admission to the MoE sponsored MTech (TA) programme for candidates with a GATE score is via COAP.
 All other admissions will involve a written test and/or interview
Written Test and Interview
The admission process consists of the following stages. The written test and interview are typically conducted on the same day in offline mode in IIT Hyderabad campus — the test in the morning session (about 90 minutes) and the interview of the shortlisted candidates (about 20 minutes) in the afternoon session. However, depending on logistical constraints, this may extend to the next day. Details regarding this will be intimated to candidates selected for the written test.
The written test and the interview are designed to examine the mathematical and logical reasoning of the candidates. We are looking for students who are willing to learn and improvise. In particular, we are not interested in rote formulabased approaches for solving problems. The candidates are expected to have a clear understanding of the fundamentals. The focus of the written test is on
 Linear algebra
 Probability theory & random variables
 Mathematical aptitude
 Their respective areas of interest
 Basics of communications and/or signal processing
 Programming aptitude
Linear Algebra 

Vector spaces, linear independence, basis, dimension 
Inner product and norm 
Matrix algebra, rank, eigenvectors, determinant 
Solving systems of linear equations 
Special matrices (diagonal, triangular, orthogonal, symmetric etc.) 
Probability Theory & Random Variables 

Probability density and distributions 
Combinatorial probability 
Binomial, exponential, normal, Poisson, exponential random variables 
Jointly distributed random variables 
Mean, variance, mode etc. 
Independence, Conditional probability, Bayes theorem 
References
We recommend the following textbooks to prepare for linear algebra and probability theory & random variables.
 Boyd, Stephen, and Lieven Vandenberghe, "Introduction to applied linear algebra: vectors, matrices, and least squares", Cambridge University Press.
 David Lay, “Linear Algebra and its Applications”, Pearson.
 Gilbert Strang, “Linear Algebra and its Applications”, Cengage.
 Erwin Kreyszig, “Advanced Engineering Mathematics”, John Wiley & Sons.
 Bertsekas, Dimitri, and John N. Tsitsiklis, "Introduction to probability", Vol. 1. Athena Scientific.
 Athanasios Papoulis and S. Unnikrishna Pillai, “Probability, Random Variables and Stochastic Processes”, McGraw Hill.
 Sheldon Ross, “A First Course in Probability”, Pearson.
MTech 3 Year RA Placements
Academic Year  Avg CTC (in Lakh INR)  Min CTC(in Lakh INR)  Max CTC(in Lakh INR) 

201920  35.33  22.5  52.45 
202021  22.5  22.5  22.5 
202122  22.59  11.5  40.24 
List of recruiters:
Bharti Airtel, Yokogawa, TCS, Samsung Semiconductor, Qualcomm, Philips, Mediatek, Rakuten, Steradian Semiconductors
SelfSponsored MTech Placements
Academic Year  Avg CTC (in Lakh INR)  Min CTC(in Lakh INR)  Max CTC(in Lakh INR) 

202122  24.74  11.71  40.24 
List of recruiters:
Accenture S&C, Qualcomm, Mathworks, Mediatek, Rakuten, BEL
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