
M-TECH in Embedded System Technology at SRM Institute of Science and Technology


Chengalpattu, Tamil Nadu
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About the Specialization
What is Embedded System Technology at SRM Institute of Science and Technology Chengalpattu?
This M.Tech Embedded System Technology program at SRM Institute of Science and Technology focuses on designing, developing, and implementing integrated hardware and software solutions for specialized applications. It addresses the growing demand in India for engineers proficient in real-time systems, IoT, and advanced microcontrollers, crucial for sectors like automotive, aerospace, and consumer electronics, providing a strong foundation in modern embedded design practices.
Who Should Apply?
This program is ideal for engineering graduates with a B.E./B.Tech degree in ECE, EEE, EIE, CSE, IT, or Mechatronics, seeking entry into the high-tech embedded industry. It also suits working professionals aiming to upgrade their skills in advanced embedded systems or career changers transitioning into the rapidly evolving field of IoT and cyber-physical systems, requiring a solid technical background.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths in India as Embedded Software Engineers, Hardware Design Engineers, IoT Architects, or Firmware Developers. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program fosters expertise aligned with industry certifications and equips students for leadership roles in product development and innovation within Indian and global tech firms.

Student Success Practices
Foundation Stage
Master Core Embedded Fundamentals- (Semester 1-2)
Focus on building a strong foundation in Real-Time Operating Systems, Advanced Embedded Processors, and Embedded C programming. Dedicate extra hours to lab work, debugging code, and understanding hardware-software interaction. Regularly solve problems from textbooks and online platforms to reinforce theoretical concepts.
Tools & Resources
Proteus, Keil µVision, GCC ARM Embedded Toolchain, FreeRTOS tutorials, STM32CubeIDE
Career Connection
Essential for cracking technical interviews for firmware development and hardware verification roles.
Engage in Peer Learning and Projects- (Semester 1-2)
Form study groups to discuss complex topics and collaborate on mini-projects beyond coursework. Participate in inter-departmental hackathons or small embedded system design challenges. Document learning and project work diligently, including schematics and code, to build a foundational portfolio.
Tools & Resources
GitHub for code sharing, Discord/Slack for group discussions, Arduino/Raspberry Pi for personal projects
Career Connection
Develops teamwork, problem-solving skills, and a practical portfolio, crucial for internships and entry-level positions.
Cultivate Analytical Thinking and Problem-Solving- (Semester 1-2)
Beyond syllabus, delve into competitive programming for logic building and critical thinking. Analyze and understand various algorithms and data structures relevant to embedded systems. Practice optimizing code for memory and speed, a key skill in resource-constrained environments.
Tools & Resources
HackerRank, LeetCode (focus on C/C++), GeeksforGeeks, Books on embedded system design patterns
Career Connection
Sharpens analytical abilities vital for debugging complex embedded systems and designing efficient solutions, highly valued by recruiters.
Intermediate Stage
Focus on Project-Based Learning and Elective Specialization- (Semester 3)
Begin actively working on your Phase I project, focusing on defining a clear problem, conducting thorough literature review, and outlining a robust methodology. Choose electives strategically to specialize in areas like IoT, automotive, or AI in embedded systems, aligning with career aspirations.
Tools & Resources
Research papers via IEEE Xplore/ACM Digital Library, Mendeley for citation management, Project management tools like Trello
Career Connection
Develops research acumen and deep technical expertise in a chosen domain, crucial for advanced roles and Ph.D. aspirations.
Seek Internships and Industry Exposure- (Semester 3)
Actively search for internship opportunities in embedded system companies, startups, or R&D departments in India. Apply concepts learned in Embedded Linux and Embedded Networking to real-world scenarios. Participate in workshops or webinars conducted by industry experts.
Tools & Resources
LinkedIn, Internshala, College placement cell, Industry specific job boards
Career Connection
Provides invaluable practical experience, industry networking, and often leads to pre-placement offers.
Network with Professionals and Mentors- (Semester 3)
Attend industry conferences, tech meetups (physical or virtual) in major Indian tech hubs like Bengaluru, Hyderabad, or Pune. Connect with alumni working in embedded systems on LinkedIn. Seek mentorship to gain insights into career paths and skill development.
Tools & Resources
LinkedIn, Eventbrite, College alumni network, Professional associations like IEEE
Career Connection
Opens doors to job opportunities, collaborative projects, and provides guidance for career progression.
Advanced Stage
Deliver High-Impact Final Project- (Semester 4)
Dedicate substantial effort to Project Work - Phase II, focusing on implementation, rigorous testing, and comprehensive documentation. Aim for a publishable paper or a patent filing if the project demonstrates significant innovation. Prepare for a strong final presentation and viva-voce.
Tools & Resources
Advanced simulation tools (e.g., MATLAB/Simulink, LTSpice), Professional reporting software, LaTeX for thesis
Career Connection
A well-executed and documented final project is a powerful resume booster, showcasing expertise and readiness for R&D roles.
Master Interview and Communication Skills- (Semester 4)
Engage in mock interviews, both technical and HR, with peers, faculty, and career counselors. Practice explaining complex technical concepts clearly and concisely. Refine your resume and cover letter to highlight embedded system skills and project experiences.
Tools & Resources
InterviewBit, Pramp, Communication skills workshops, College career services
Career Connection
Crucial for converting job applications into successful placements in top companies.
Plan for Continuous Learning and Career Growth- (Semester 4 and beyond)
Identify emerging technologies in embedded systems (e.g., edge AI, RISC-V, quantum computing for embedded) and commit to continuous self-learning. Explore professional certifications that add value to your profile. Develop a long-term career plan, considering further specialization or entrepreneurial ventures.
Tools & Resources
Coursera, NPTEL, Udemy for specialized courses, Industry reports for future trends
Career Connection
Ensures long-term relevance and adaptability in a dynamic industry, opening doors for leadership and innovation roles.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. degree in ECE/EEE/EIE/CSE/IT/Mechatronics/Instrumentation & Control Engineering or an equivalent degree with a minimum aggregate of 50%
Duration: 2 years / 4 semesters
Credits: 70 Credits
Assessment: Internal: 50% for Theory, 60% for Practical, 50% for Project, External: 50% for Theory, 40% for Practical, 50% for Project (End Semester Examination)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PTE22101 | Advanced Mathematics for Engineers | Core | 3 | Linear Algebra, Calculus of Variations, Probability and Random Variables, Numerical Methods, Transform Techniques |
| PTE22102 | Real Time Operating Systems | Core | 3 | RTOS Concepts, Task and Thread Management, Inter-Task Communication, Memory Management, Synchronization |
| PTE22103 | Advanced Embedded Processors | Core | 3 | ARM Processors, Microcontroller Architectures, Processor Peripherals, Instruction Sets, Memory Interfaces |
| PTE22104 | Advanced Embedded Processors Lab | Lab | 2 | Processor Interfacing, Peripheral Programming, GPIO and Timers, Communication Protocols |
| PTE22105 | Real Time Operating Systems Lab | Lab | 2 | RTOS Task Creation, Semaphores and Mutexes, Message Queues, Priority Inversion, Event Flags |
| PTE22E01 | Elective I (e.g., Embedded System Design with FPGA, Automotive Embedded Systems, Industrial IoT, Advanced Digital Signal Processing) | Elective | 3 | Varies based on chosen elective |
| PTE22E02 | Elective II (e.g., Cyber Physical Systems, VLSI for Embedded Systems, Wireless and Mobile Communication, Soft Computing) | Elective | 3 | Varies based on chosen elective |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PTE22201 | Embedded Linux | Core | 3 | Linux Kernel, Bootloader, Device Drivers, File Systems, Embedded Linux Development |
| PTE22202 | Embedded Networking | Core | 3 | Network Topologies, CAN Protocol, Ethernet and Wi-Fi, IoT Protocols, Network Security |
| PTE22203 | Embedded System Design and Verification | Core | 3 | Design Methodologies, Hardware-Software Co-design, Verification Techniques, Testing and Debugging, Design for Testability |
| PTE22204 | Embedded Networking Lab | Lab | 2 | Network Stack Implementation, Communication Protocols, Data Transmission, IoT Connectivity |
| PTE22205 | Embedded Linux Lab | Lab | 2 | Kernel Compilation, Custom Root Filesystem, Device Driver Programming, Application Deployment |
| PTE22E03 | Elective III (e.g., Distributed Embedded Systems, Advanced Computer Architecture, Artificial Intelligence in Embedded Systems, Low Power Embedded System Design) | Elective | 3 | Varies based on chosen elective |
| PTE22E04 | Elective IV (e.g., System on Chip Design, Image and Video Processing for Embedded Applications, Cloud Computing and Virtualization, Research Methodology and IPR) | Elective | 3 | Varies based on chosen elective |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PTE22301 | Project Work - Phase I | Project | 8 | Problem Definition, Literature Review, Project Planning, Methodology Development, Preliminary Design |
| PTE22E05 | Elective V (e.g., Hardware Security, Mixed Signal Embedded Systems, Big Data Analytics, Quantum Computing) | Elective | 3 | Varies based on chosen elective |
| PTE22E06 | Elective VI (e.g., Autonomous Systems, Medical Embedded Systems, Deep Learning for Embedded Systems, Human Computer Interaction for Embedded Systems) | Elective | 3 | Varies based on chosen elective |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PTE22401 | Project Work - Phase II | Project | 20 | System Implementation, Experimental Analysis, Result Validation, Thesis Documentation, Project Defense |




