Communications, Signal Processing and Learning Group
MTech Course Structure
| 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 |
| Early exposure to project |
| Greater emphasis on research and development |
Course structure common for 2-year MTech and 3-year MTech programmes
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Fees, stipend
- Fee Details will be updated in July 2023
- 2-year MTech (TA) students get stipend from MoE
- 3-year MTech students get a stipend from project
- Exposure to research work right from the start of the program
- Typical Monthly stipend: Rs 12,400/-
Stipend:
MTech admissions
- 2-year MTech: Online application, typically open during mid-March to mid-April.
- 3-year MTech
- August admissions: online application typically open during mid-March to mid-April
- 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
Exam and Interview:
- Linear algebra/matrix theory
- Probability theory, random variables and random processes
- Convex and non-convex optimization
- Real and complex analysis
- Exam & interview to test how well you can solve problems mathematically
- We expect clear understanding of fundamentals (NOT formula-based approach)
- We look for ability to improvise and willingness to learn
Engineering uses mathematical tools to solve real-world problems. Many problems in Communications, Signal Processing and Learning primarily rely on
Things to keep in mind:
Focus of Written Test
- Linear algebra
- Probability theory & random variables
- Mathematical aptitude
Interview has a broader scope
- Linear algebra, probability, math aptitude, programming aptitude
- Communications, Signal Processing
- Your area of interests and previous projects
| 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 & 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
- David Lay, “Linear Algebra and its Applications”, Pearson.
- Gilbert Strang, “Linear Algebra and its Applications”, Cengage.
- Erwin Kreyszig, “Advanced Engineering Mathematics”, John Wiley & Sons.
- 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) |
|---|---|---|---|
| 2019-20 | 35.33 | 22.5 | 52.45 |
| 2020-21 | 22.5 | 22.5 | 22.5 |
| 2021-22 | 22.59 | 11.5 | 40.24 |
List of recruiters:
Bharti Airtel, Yokogawa, TCS, Samsung Semiconductor, Qualcomm, Philips, Mediatek, Rakuten, Steradian Semiconductors
Self-Sponsored MTech Placements
| Academic Year | Avg CTC (in Lakh INR) | Min CTC(in Lakh INR) | Max CTC(in Lakh INR) |
|---|---|---|---|
| 2021-22 | 24.74 | 11.71 | 40.24 |
List of recruiters:
Accenture S&C, Qualcomm,Mathworks, Mediatek,Rakuten,BEL
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