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M-TECH in Communication Engineering And Signal Processing at Indian Institute of Engineering Science and Technology, Shibpur
Howrah, West Bengal
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About the Specialization
What is Communication Engineering and Signal Processing at Indian Institute of Engineering Science and Technology, Shibpur Howrah?
This Communication Engineering and Signal Processing program at IIEST Shibpur focuses on advanced concepts and applications in digital communication, wireless systems, and signal processing. It addresses the growing demand for skilled professionals in India''''s rapidly evolving telecom, data science, and consumer electronics industries. The program uniquely blends theoretical foundations with practical, industry-relevant challenges to prepare students for innovation.
Who Should Apply?
This program is ideal for engineering graduates, especially from Electronics, Telecommunication, Electrical, and Computer Science backgrounds, seeking to specialize in cutting-edge communication and signal processing technologies. It also caters to working professionals aiming to upskill and contribute to R&D in telecom and semiconductor sectors, and those looking to transition into roles requiring advanced analytical and design skills.
Why Choose This Course?
Graduates of this program can expect to pursue careers as R&D engineers, system architects, DSP specialists, or wireless communication engineers in top Indian and multinational companies. Entry-level salaries typically range from INR 6-12 LPA, with experienced professionals earning significantly more. The strong curriculum prepares students for roles in 5G/6G development, IoT, AI/ML for signal processing, and defense technologies in India.
Student Success Practices
Foundation Stage
Master Core Communication & DSP Fundamentals- (Semester 1-2)
Focus deeply on understanding the mathematical foundations of Advanced Digital Communication and Advanced Digital Signal Processing. Utilize online resources like NPTEL courses, Coursera specializations in DSP/Communication, and standard textbooks.
Tools & Resources
MATLAB, Simulink, Python (NumPy, SciPy), NPTEL, Coursera
Career Connection
A strong grasp of fundamentals is crucial for technical interviews in R&D, design, and analysis roles across telecom, embedded systems, and data science industries.
Engage Actively in Labs and Simulations- (Semester 1-2)
Beyond completing lab assignments, actively experiment with different parameters, explore alternative algorithms, and implement small projects using lab equipment or simulation tools. Document findings thoroughly to build a practical skill base.
Tools & Resources
MATLAB, Simulink, GNU Radio, USRP/SDR kits (if available), Official lab manuals
Career Connection
Hands-on experience is highly valued by employers for roles involving system design, testing, and prototyping, helping to build a strong technical portfolio for job applications.
Participate in Technical Seminars and Workshops- (Semester 1-2)
Attend department seminars, guest lectures, and workshops on emerging topics like 5G, IoT, and AI in communication. Actively participate in the EC5104 Seminar course by choosing a contemporary topic and preparing a thorough, well-researched presentation.
Tools & Resources
Conference proceedings (IEEE Xplore), Department announcements, NPTEL webinars, ACM Digital Library
Career Connection
Develops presentation and research skills, broadens technical knowledge, and helps identify potential areas for future research or projects, valuable for both academic and industry roles.
Intermediate Stage
Deep Dive into Research Methodology and Literature Review- (Semester 3)
Leverage the ''''Technical Writing and Research Methodology'''' course to identify a specific research problem. Conduct an exhaustive literature review using academic databases, focusing on recent trends and open challenges in communication and signal processing.
Tools & Resources
Scopus, Web of Science, IEEE Xplore, Google Scholar, Mendeley/Zotero
Career Connection
Essential for successful dissertation work and crucial for R&D positions where problem-solving, critical analysis, and identification of research gaps are paramount.
Initiate Dissertation Part I with Strong Mentorship- (Semester 3)
Collaborate closely with your supervisor to define a feasible and impactful research problem for Dissertation Part I. Regularly meet for discussions, seek feedback, and establish clear milestones. Start building prototypes or simulation models early for concrete progress.
Tools & Resources
Python, MATLAB, NS-3 (Network Simulator), C++, Academic papers, Supervisor''''s expertise
Career Connection
This hands-on research project is a major differentiator in placements, showcasing your ability to conduct independent research, develop innovative solutions, and manage a long-term technical project.
Explore Elective Specializations and Certifications- (Semester 2-3)
Strategically choose electives that align with your career interests (e.g., AI/ML for signal processing, advanced optical communication). Consider pursuing relevant industry certifications or advanced online courses to deepen specialized knowledge beyond the core curriculum.
Tools & Resources
edX, Coursera, NPTEL advanced courses, Industry certification bodies (e.g., in wireless tech)
Career Connection
Specialization enhances employability for niche roles in specific communication or signal processing domains and demonstrates proactivity and continuous learning to potential employers.
Advanced Stage
Complete and Refine Dissertation Part II for Impact- (Semester 4)
Dedicate substantial effort to completing your dissertation, focusing on rigorous experimentation, in-depth analysis, and clear presentation of results. Aim for a high-quality thesis and actively consider publishing a research paper in a reputable conference or journal.
Tools & Resources
Advanced simulation/experimental setups, Data analysis software, LaTeX for thesis writing, Academic publication guidelines, Grammarly
Career Connection
A strong dissertation and potential publication significantly boost your profile for R&D roles, PhD admissions, and leadership positions, showcasing innovation, analytical prowess, and strong communication skills.
Develop Professional Portfolio and Interview Skills- (Semester 4)
Curate a comprehensive portfolio of your projects, including code repositories (GitHub), research papers, and detailed lab reports. Practice technical and HR interview questions specific to communication and signal processing roles. Participate in mock interviews and career guidance sessions.
Tools & Resources
LinkedIn, GitHub, Resume builders, Mock interview platforms, IIEST Shibpur Career Services
Career Connection
This stage is critical for converting your academic achievements into successful placement outcomes, ensuring you are well-prepared for the competitive Indian job market and can articulate your skills effectively.
Network with Alumni and Industry Professionals- (undefined)
Actively connect with IIEST Shibpur alumni working in your target industries through LinkedIn and alumni events. Attend industry webinars and conferences. These connections can provide invaluable insights, mentorship, and potential job leads within India''''s tech landscape.
Tools & Resources
LinkedIn, IIEST Alumni Association network, Industry conferences (e.g., IEEE India events), Professional meetups
Career Connection
Networking is invaluable for discovering hidden job opportunities, securing referrals, and understanding industry trends, significantly enhancing your long-term career trajectory and professional development.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech in Electronics & Telecommunication Engineering, Electronics Engineering, Electrical Engineering, Computer Science & Engineering, Information Technology, Instrumentation Engineering or equivalent, typically with a valid GATE score for stipendiary seats.
Duration: 2 years (4 semesters)
Credits: 66 Credits
Assessment: Internal: 40% (for theory courses), External: 60% (for theory courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC5101 | Advanced Digital Communication | Core | 4 | Digital Modulation Techniques, Channel Coding, Spread Spectrum Communication, Multi-carrier and MIMO Systems, Equalization, Source Coding |
| EC5102 | Advanced Digital Signal Processing | Core | 4 | Discrete Fourier Transforms, Filter Design and Implementation, Multi-rate Signal Processing, Adaptive Filters, Wavelet Transforms, Spectrum Estimation |
| EC5103 | Advanced Communication Systems Laboratory | Lab | 4 | Digital Modulation/Demodulation Simulation, Channel Coding Implementation, Wireless Channel Fading Analysis, DSP Algorithms on Platforms, Software Defined Radio Experiments, Network Simulation |
| EC51XX (Elective I) | Elective I | Elective | 4 | Antenna and Microwave Engineering, Wireless Sensor Networks, RF and Millimeter Wave Circuit Design, Fiber Optic Communication |
| EC5104 | Seminar | Core | 2 | Technical Paper Presentation, Literature Survey, Presentation Skills Development, Report Writing, Research Topic Selection |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC5201 | Information Theory and Coding | Core | 4 | Information Measures, Channel Capacity, Error Control Codes, Block Codes, Convolutional Codes, Turbo Codes and LDPC |
| EC5202 | Wireless Communication | Core | 4 | Wireless Channel Models, MIMO Systems, OFDM Principles, Cognitive Radio, Cellular System Design, 5G/6G Technologies |
| EC5203 | Digital Signal Processing Laboratory | Lab | 4 | DSP Processor Interfacing, FIR/IIR Filter Implementation, Speech Signal Processing, Image Processing Techniques, Real-time DSP Applications, Hardware-Software Co-design |
| EC52XX (Elective II) | Elective II | Elective | 4 | Speech and Audio Processing, Advanced Optical Communication, Radar and Satellite Communication, Pattern Recognition and Machine Learning for Signal Processing |
| EC52XX (Elective III) | Elective III | Elective | 4 | Internet of Things (IoT), Embedded Systems Design, Image and Video Processing, Digital System Design using VHDL |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC6101 | Advanced Topics in Communication and Signal Processing | Core | 4 | Advanced MIMO and Massive MIMO, Millimeter Wave Communication, Deep Learning for Communication, Medical Signal Processing, Compressed Sensing, Quantum Communication Fundamentals |
| EC6102 | Technical Writing and Research Methodology | Core | 4 | Research Problem Formulation, Literature Survey Techniques, Technical Report Structure, Scientific Paper Writing, Plagiarism and Ethics, Referencing and Citation Styles |
| EC6103 | Dissertation Part – I | Project | 8 | Problem Identification and Scope Definition, In-depth Literature Review, Methodology Design and Planning, Preliminary Experimental/Simulation Setup, Project Proposal Development, Progress Report and Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC6201 | Dissertation Part – II | Project | 12 | Advanced Research and Development, Experimental Validation and Data Collection, Result Analysis and Interpretation, Thesis Writing and Documentation, Final Project Presentation and Viva, Potential for Publication |
