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M-TECH in Internet Of Things at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Internet of Things at SRM Institute of Science and Technology Chengalpattu?
This M.Tech Internet of Things program at SRM Institute of Science and Technology, Chengalpattu, focuses on developing advanced skills in designing, deploying, and managing interconnected smart devices and systems. It addresses the growing demand for IoT experts in India''''s rapidly digitalizing industries, emphasizing practical applications, cutting-edge research, and interdisciplinary approaches essential for the evolving digital landscape.
Who Should Apply?
This program is ideal for engineering graduates with a background in Electronics, Computer Science, IT, or related fields, aspiring to specialize in smart technologies. It also caters to working professionals seeking to upskill in IoT architecture, embedded systems, data analytics, and security, enabling them to transition into advanced roles in the Indian tech industry.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative careers as IoT Architects, Embedded Systems Engineers, Data Scientists, or Cloud Developers within India''''s thriving tech sector. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program prepares students for roles in smart cities, healthcare, manufacturing, and agricultural technology.
Student Success Practices
Foundation Stage
Master Core Concepts with Hands-on Projects- (Semester 1-2)
Build a strong foundation in embedded systems, sensor networks, and basic IoT protocols. Actively participate in lab sessions and undertake mini-projects using development boards like Arduino or Raspberry Pi to apply theoretical knowledge, reinforcing learning through practical experience.
Tools & Resources
Arduino IDE, Raspberry Pi, Proteus/Tinkercad simulators, Coursera/edX for IoT fundamentals
Career Connection
Develops foundational technical skills essential for entry-level IoT hardware and firmware development roles, making you proficient in basic system integration.
Develop Strong Programming Skills- (Semester 1-2)
Cultivate proficiency in programming languages crucial for IoT, such as Python and C/C++. Dedicate time to competitive programming platforms and focus on embedded programming challenges and data processing scripts to enhance problem-solving and coding efficiency.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Online Python/C++ tutorials
Career Connection
Crucial for passing technical interviews for software development and embedded systems roles, ensuring a strong base for complex IoT application development.
Engage in Peer Learning and Group Study- (Semester 1-2)
Form study groups to discuss complex topics, share insights, and collaboratively solve problems. Explain concepts to peers, as teaching solidifies understanding. Participate in campus hackathons or tech events as a team to foster collaborative skill development.
Tools & Resources
SRMIST student forums, Discord/WhatsApp study groups, College tech clubs
Career Connection
Enhances teamwork, communication, and problem-solving skills, highly valued in corporate environments and collaborative project settings.
Intermediate Stage
Specialize through Electives and Advanced Labs- (Semester 3-4)
Strategically choose electives based on your career interests (e.g., AI for IoT, Cloud IoT, Security). Go beyond basic lab exercises by initiating self-driven projects that integrate multiple IoT components, focusing on advanced data analytics or cloud integration. Attend workshops on advanced IoT platforms like AWS IoT or Azure IoT.
Tools & Resources
AWS IoT Core, Azure IoT Hub, Google Cloud IoT, Specialized IoT development kits
Career Connection
Builds specialized expertise, making you a strong candidate for niche roles like IoT Cloud Engineer, IoT Security Analyst, or IoT Data Scientist.
Seek Industry Internships and Workshops- (Semester 3-4)
Actively pursue internships during semester breaks at Indian tech companies or startups focused on IoT. This provides invaluable real-world experience, industry exposure, and networking opportunities. Attend industry conferences or workshops to stay updated on emerging trends and technologies.
Tools & Resources
Internshala, LinkedIn Jobs, SRMIST Placement Cell, Industry specific conferences
Career Connection
Provides practical experience, strengthens resume, and often leads to pre-placement offers, accelerating your career entry into the Indian IoT industry.
Build a Strong Project Portfolio- (Semester 3-4)
Initiate work on a significant research project or a real-world problem statement, aligning with your M.Tech project. Document all projects meticulously on platforms like GitHub, showcasing your skills in hardware interfacing, software development, data management, and innovative problem-solving.
Tools & Resources
GitHub, GitLab, Personal portfolio website
Career Connection
A robust portfolio is a critical asset for demonstrating practical skills to potential employers, significantly improving placement chances for diverse IoT roles.
Advanced Stage
Focus on Research and Dissertation Excellence- (Semester 4)
For your Major Project/Dissertation, select a challenging, innovative topic with potential for real-world impact or publication. Collaborate closely with faculty mentors, conduct thorough literature reviews, and strive for a high-quality, well-documented project or thesis, aiming for presentation at national conferences.
Tools & Resources
Research databases (IEEE Xplore, Scopus), SRMIST Research Labs, Academic writing tools
Career Connection
Develops critical thinking, research, and analytical skills, preparing you for R&D roles, product development, or further academic pursuits like Ph.D. in India or abroad.
Network Strategically and Prepare for Placements- (Semester 4)
Leverage institutional career services for resume building, mock interviews, and placement drives. Network actively with alumni and industry professionals through LinkedIn and college events. Prepare extensively for technical and HR interviews, focusing on specific IoT domain knowledge and project experiences.
Tools & Resources
SRMIST Career Development Centre, LinkedIn, Alumni network, Interview preparation platforms
Career Connection
Maximizes your chances of securing placements in top-tier Indian companies and MNCs, leading to successful career launch or advancement in the IoT sector.
Explore Entrepreneurship or Advanced Specialization- (Semester 4)
Consider leveraging your Major Project for an entrepreneurial venture with guidance from college incubation centers, addressing market needs in India. Alternatively, for those aiming for deeper specialization or research careers, explore opportunities for doctoral studies or research positions, building upon your M.Tech project and academic achievements.
Tools & Resources
SRMIST Incubation Centre, Startup India initiatives, Doctoral program resources
Career Connection
Opens pathways for innovation and self-employment or propels you into advanced research and leadership roles within the rapidly evolving Indian tech ecosystem.
Program Structure and Curriculum
Eligibility:
- B.E. / B.Tech. in relevant discipline or MCA / M.Sc. (Computer Science / IT / Software Engg.) with a minimum aggregate of 50%.
Duration: 4 semesters / 2 years (Full-time)
Credits: 70 Credits
Assessment: Internal: 50% (Theory), 60% (Lab), 100% (Project), External: 50% (Theory), 40% (Lab), 0% (Project)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PHT 2101 | Research Methodology and IPR | Core | 3 | Research Process and Design, Literature Review and Problem Formulation, Data Collection and Analysis Techniques, Report Writing and Presentation, Intellectual Property Rights (IPR), Patents, Copyrights, Trademarks |
| IOT 2101 | Wireless Sensor Networks and IoT | Core | 3 | Introduction to IoT Architecture, Wireless Sensor Network Fundamentals, IoT Communication Protocols (MAC, Routing), Data Aggregation and Management, IoT Applications and Ecosystems, IoT Security and Privacy |
| IOT 2102 | Embedded System Design for IoT | Core | 3 | Embedded Processors and Microcontrollers, Real-Time Operating Systems (RTOS), Device Drivers and Interrupts, Interfacing Peripherals and Sensors, Firmware Development for IoT Devices, Power Management in Embedded Systems |
| IOT 2103 | Internet of Things Lab | Lab | 2 | Sensor and Actuator Interfacing, Embedded Programming (Arduino, Raspberry Pi), Communication Protocols Implementation, IoT Platform Integration, Data Acquisition and Visualization, IoT Application Development |
| IOT 2141 | Artificial Intelligence for IoT | Elective | 3 | AI and Machine Learning Fundamentals, Supervised and Unsupervised Learning, Deep Learning Concepts and Neural Networks, AI at the Edge for IoT Devices, IoT Data Analytics with AI, Predictive Modeling for IoT Applications |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IOT 2201 | IoT Communication Protocols | Core | 3 | TCP/IP and UDP Fundamentals, MQTT, CoAP, and HTTP Protocols, AMQP and XMPP for IoT, LPWAN Technologies (LoRaWAN, NB-IoT), ZigBee, Bluetooth Low Energy (BLE), 5G and Future IoT Communication |
| IOT 2202 | IoT Cloud Architectures | Core | 3 | Cloud Computing Models (IaaS, PaaS, SaaS), Major IoT Cloud Platforms (AWS IoT, Azure IoT), Microservices and Serverless Computing, IoT Data Storage and Databases, API Management for IoT, Cloud Security and Scalability |
| IOT 2203 | IoT Data Analytics Lab | Lab | 2 | IoT Data Collection and Preprocessing, Statistical Analysis of Sensor Data, Time Series Analysis for IoT, Machine Learning Model Implementation, Data Visualization Tools (Grafana, Power BI), IoT Analytics Platform Usage |
| IOT 2204 | Research Project – I | Project | 4 | Project Proposal Development, Literature Review and Gap Analysis, System Design and Architecture, Implementation Plan and Experimentation, Interim Report Writing, Presentation of Preliminary Results |
| IOT 2241 | Cyber Physical Systems | Elective | 3 | Introduction to Cyber Physical Systems (CPS), Sensing, Actuation, and Control Systems, Networking and Communication in CPS, Real-time Systems and Embedded Control, Safety, Security, and Reliability in CPS, Industrial IoT and Smart Grids |
| IOT 2244 | Edge Computing for IoT | Elective | 3 | Edge and Fog Computing Principles, Edge Device Architectures, Data Processing and Analytics at the Edge, Latency Optimization and Bandwidth Management, Edge AI and Machine Learning, Security and Privacy in Edge Environments |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IOT 2301 | Advanced IoT Security | Core | 3 | IoT Threat Models and Attack Vectors, Device and Network Level Security, Cloud Security for IoT Platforms, Cryptography and Blockchain in IoT, Privacy Enhancing Technologies, Security Protocols and Standards for IoT |
| IOT 2302 | Major Project – II | Project | 6 | Advanced System Design and Prototyping, Implementation of Complex IoT Solutions, Rigorous Testing and Validation, Performance Analysis and Optimization, Comprehensive Technical Report Writing, Presentation of Project Outcomes |
| IOT 2342 | Industrial IoT and Industry 4.0 | Elective | 3 | Concepts of Industry 4.0 and Digital Transformation, Industrial IoT (IIoT) Architectures, Smart Manufacturing and Predictive Maintenance, Digital Twin Technology in Industry, Automation and Robotics Integration, Cybersecurity in Industrial Environments |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IOT 2401 | Major Project – III / Dissertation | Project | 12 | In-depth Research and Innovation, Comprehensive System Development, Experimental Design and Evaluation, Statistical Analysis of Results, Thesis Writing and Documentation, Project Defense and Publication |
