

M-TECH in Name Communication Engineering Seats 18 at Federal Institute of Science And Technology (FISAT)


Ernakulam, Kerala
.png&w=1920&q=75)
About the Specialization
What is {"name": "Communication Engineering", "seats": 18} at Federal Institute of Science And Technology (FISAT) Ernakulam?
This Communication Engineering program at Federal Institute of Science And Technology, Ernakulam, Kerala focuses on advanced concepts in digital, wireless, and optical communication systems. With India''''s rapidly expanding telecommunications sector and digital infrastructure, this specialization is highly relevant, addressing the critical need for skilled professionals in 5G, IoT, satellite, and next-generation network technologies. The program aims to equip students with theoretical depth and practical expertise to innovate in the communication landscape.
Who Should Apply?
This program is ideal for engineering graduates with a B.Tech/B.E. in Electronics and Communication, Electronics, or Telecommunication seeking to specialize in advanced communication technologies. It also caters to working professionals in the telecom industry looking to upskill in areas like wireless, satellite, and digital signal processing, or those aspiring for research and development roles. Aspiring academicians and those looking to contribute to India''''s digital transformation initiatives will find this program beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as R&D engineers, network architects, wireless system designers, or communication specialists in leading Indian and multinational companies. Entry-level salaries typically range from INR 4-8 lakhs per annum, with experienced professionals earning significantly more. The program prepares students for roles in telecom operators, equipment manufacturers, and defense organizations, aligning with certifications in advanced networking and wireless technologies.

Student Success Practices
Foundation Stage
Master Core Communication Principles- (Semester 1)
Focus intensely on subjects like Advanced Digital Communication, Advanced Digital Signal Processing, and Advanced Electromagnetic Theory. Actively solve complex problems, attend concept-clarification sessions, and form peer study groups. Utilize NPTEL and other online resources for supplementary learning and concept reinforcement.
Tools & Resources
NPTEL courses, University digital library, MATLAB for simulations, GeeksforGeeks for concepts
Career Connection
Strong theoretical foundation is critical for clearing technical rounds in placements and for undertaking advanced research projects, improving R&D career prospects.
Cultivate Advanced Mathematical Skills- (Semester 1)
Prioritize the Advanced Engineering Mathematics course. Practice problem-solving rigorously, focusing on areas like probability, random processes, and optimization, which are foundational for advanced communication concepts. Participate in mathematical modeling workshops if available.
Tools & Resources
Standard textbooks, Online calculus/linear algebra resources, Wolfram Alpha, Mathematical software
Career Connection
Advanced mathematical aptitude is highly valued in R&D roles, algorithm development, and data analysis within the communication sector, opening doors to diverse technical roles.
Initiate Research Thinking and IPR Awareness- (Semester 1)
Fully engage with the Research Methodology and IPR course. Begin identifying areas of interest for future projects, conduct preliminary literature surveys, and understand the basics of intellectual property. Attend research paper presentations within the department.
Tools & Resources
IEEE Xplore, Google Scholar, Mendeley/Zotero for referencing, Institutional library resources
Career Connection
Essential for developing a strong M.Tech project/thesis, which is a major component of the degree, and for potential research careers in the field.
Intermediate Stage
Advanced Stage
Program Structure and Curriculum
Eligibility:
- B.Tech/B.E. Degree in Electronics and Communication Engineering / Electronics Engineering / Communication Engineering / Telecommunication Engineering or equivalent with 60% marks or CGPA of 6.5 from an AICTE approved institution.
Duration: 4 semesters / 2 years
Credits: 68 Credits
Assessment: Internal: 40% (for theory), 60% (for practical/project), External: 60% (for theory), 40% (for practical/project)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CE6101 | Advanced Digital Communication | Core | 3 | Digital Modulation Techniques, Channel Coding Principles, Spread Spectrum Communication, Multicarrier Communication (OFDM), Wireless Channel Models, Equalization Techniques |
| 23CE6103 | Advanced Digital Signal Processing | Core | 3 | Discrete-Time Signals and Systems, Multirate Signal Processing, Adaptive Filters (LMS, RLS), Wavelet Transforms, Spectrum Estimation, DSP Architectures |
| 23CE6105 | Advanced Electromagnetic Theory | Core | 3 | Maxwell''''s Equations and Wave Propagation, Transmission Lines and Waveguides, Antenna Fundamentals and Radiation, Microwave Components, Electromagnetic Interference and Compatibility |
| 23MA6001 | Advanced Engineering Mathematics | Core | 3 | Linear Algebra and Vector Spaces, Probability and Random Processes, Stochastic Processes, Optimization Techniques, Integral Transforms |
| 23CE6111 | Elective I: Advanced Optical Communication | Elective | 3 | Optical Fiber Transmission Principles, Optical Transmitters and Receivers, Optical Amplifiers, Wavelength Division Multiplexing (WDM), Optical Network Architectures, Fiber Optic Sensors |
| 23CE6181 | Advanced Communication Lab I | Lab | 2 | Digital Modulation/Demodulation Experiments, DSP Algorithm Implementation, Antenna Radiation Pattern Measurement, RF Circuit Design and Analysis, Network Simulation Tools |
| 23CE6191 | Research Methodology and IPR | Core | 3 | Research Problem Formulation, Literature Survey Techniques, Data Collection and Analysis Methods, Technical Report Writing, Intellectual Property Rights (IPR), Patenting and Copyright |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CE6102 | Wireless Communication Systems | Core | 3 | Cellular System Concepts, Mobile Radio Propagation, Fading and Diversity Techniques, MIMO Systems, OFDM and OFDMA, Cognitive Radio Principles |
| 23CE6104 | Satellite Communication | Core | 3 | Orbital Mechanics and Launchers, Satellite Link Design, Earth Station Technology, Multiple Access Techniques (FDMA, TDMA, CDMA), VSAT Systems and Applications, Navigation and GPS |
| 23CE6112 | Elective II: Wireless Sensor Networks | Elective | 3 | WSN Architecture and Applications, MAC Protocols for WSN, Routing Protocols (LEACH, Directed Diffusion), Localization and Time Synchronization, Security in WSN, IoT Integration |
| 23CE6122 | Elective III: Millimeter Wave Communication | Elective | 3 | MmWave Propagation Characteristics, Antennas for MmWave Systems, MmWave Transceiver Design, Channel Modeling for 5G/6G, Beamforming Techniques, Applications of MmWave |
| 23CE6182 | Advanced Communication Lab II | Lab | 2 | Wireless System Simulation (OFDM, MIMO), Satellite Link Budget Analysis, Software Defined Radio (SDR) Experiments, Network Simulation using NS3, Image/Video Processing using MATLAB/Python |
| 23CE6192 | Mini Project | Project | 2 | Problem Identification and Scope Definition, Literature Review and System Design, Implementation and Testing, Result Analysis and Documentation, Oral Presentation |
| 23CE6194 | Comprehensive Viva Voce | Core | 4 | Core Communication Engineering Concepts, Advanced Digital Signal Processing, Wireless and Satellite Communication, Research Methodology and IPR, Elective Specialization Knowledge |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CE7111 | Elective IV: IoT for Communication Engineering | Elective | 3 | IoT Architecture and Protocols, IoT Communication Technologies (LoRa, NB-IoT), Edge and Cloud Computing for IoT, Data Analytics in IoT, Security and Privacy in IoT, IoT Applications in Smart Cities |
| 23CE7121 | Elective V: Advanced Topics in Communication Networks | Elective | 3 | Software Defined Networking (SDN), Network Function Virtualization (NFV), Future Internet Architectures, Network Security Challenges, Content Delivery Networks (CDN), Quantum Communication Networks |
| 23CE7191 | Project Work (Phase I) | Project | 8 | Detailed Problem Statement and Objectives, Extensive Literature Survey, Methodology Development, Preliminary Design and Simulation, Review and Presentation of Initial Work |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CE7192 | Project Work (Phase II) | Project | 14 | Detailed Implementation and Experimentation, Data Collection and Analysis, Result Validation and Interpretation, Thesis Writing and Documentation, Final Presentation and Viva Voce |




