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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 Internet of Things (IoT) program at SRM Institute of Science and Technology focuses on equipping students with advanced knowledge and practical skills to design, develop, and deploy intelligent IoT solutions. The curriculum is meticulously crafted to meet the growing demand for IoT professionals in the Indian market, covering core areas from sensor networks to cloud integration and data analytics. It differentiates itself by emphasizing hands-on project work and industry-relevant technologies.
Who Should Apply?
This program is ideal for engineering graduates holding a B.E/B.Tech in relevant disciplines like ECE, CSE, IT, or EEE, who are keen to specialize in the rapidly evolving IoT domain. It also caters to working professionals seeking to upskill and transition into IoT development, system architecture, or data engineering roles, providing a robust foundation for innovation in smart technologies across various sectors.
Why Choose This Course?
Graduates of this program can expect promising career paths as IoT Architects, IoT Developers, Data Scientists for IoT, Embedded Systems Engineers, or IIoT Specialists in India. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program prepares students for roles in both product-based companies and service-oriented firms, driving innovation in smart cities, healthcare, and industrial automation.
Student Success Practices
Foundation Stage
Master Core IoT Fundamentals- (Semester 1-2)
Dedicate significant time to thoroughly understand foundational concepts like IoT architectures, protocols (MQTT, CoAP), embedded systems, and wireless sensor networks. Utilize online courses from Coursera (e.g., Google IoT courses), NPTEL lectures, and platform-specific documentation (e.g., Arduino, Raspberry Pi). Participate in mini-projects to build small-scale IoT solutions from scratch.
Tools & Resources
NPTEL, Coursera (specific IoT courses), Arduino IDE, Raspberry Pi, Proteus/KiCad for circuit design
Career Connection
A strong foundation is crucial for any IoT role, enabling you to grasp complex systems and contribute effectively to project teams, laying the groundwork for specialized roles like IoT Developer or Embedded Engineer.
Hands-on Lab and Project Work- (Semester 1-2)
Go beyond prescribed lab exercises. Experiment with various sensors, actuators, and communication modules. Proactively seek opportunities for mini-projects or open-source contributions. Document your projects meticulously, detailing the problem, solution, architecture, and learning outcomes.
Tools & Resources
ESP32/ESP8266, NodeMCU, various sensors/actuators kits, GitHub, GitLab
Career Connection
Practical experience is highly valued. A portfolio of hands-on projects demonstrates your ability to apply theoretical knowledge, enhancing your employability for entry-level engineering roles.
Build a Strong Data Analytics Base- (Semester 1-2)
Develop proficiency in data analytics tools and techniques, particularly Python with libraries like Pandas, NumPy, and Matplotlib. Focus on understanding how data is collected, processed, and visualized from IoT devices. Engage in data challenges on platforms like Kaggle with IoT datasets.
Tools & Resources
Python, Pandas, NumPy, Matplotlib, Jupyter Notebook, Kaggle
Career Connection
Data is the backbone of IoT. Strong analytical skills are essential for roles like IoT Data Analyst, enabling you to extract insights and make data-driven decisions.
Intermediate Stage
Specialize in IoT Security and Cloud Integration- (Semester 3)
Delve deeper into critical areas like IoT security vulnerabilities, privacy concerns, and secure coding practices. Explore cloud platforms (AWS IoT, Azure IoT, Google Cloud IoT) and their services for IoT device management, data ingestion, and analytics. Obtain relevant cloud certifications if possible.
Tools & Resources
AWS IoT Core, Azure IoT Hub, Google Cloud IoT Core, MQTT brokers, Wireshark, Metasploit
Career Connection
These are high-demand skills. Expertise in security and cloud makes you valuable for roles such as IoT Security Engineer, Cloud Architect for IoT, or Solution Designer.
Engage in Research and Publications- (Semester 3)
Collaborate with faculty on research projects aligned with your interests (e.g., AI/ML for IoT, IIoT). Aim to publish your findings in conferences or journals. This hones your critical thinking and problem-solving skills, and adds significant weight to your academic profile.
Tools & Resources
IEEE Xplore, Scopus, Google Scholar, LaTeX, MATLAB/Python for simulations
Career Connection
Research experience is crucial for higher studies (PhD) or R&D roles in companies. It demonstrates advanced analytical and innovative capabilities.
Network with Industry Professionals and Attend Workshops- (Semester 3)
Actively participate in industry workshops, seminars, and hackathons. Connect with IoT professionals on LinkedIn and attend virtual or in-person tech events. Seek mentorship and stay updated on the latest industry trends and innovations in IoT.
Tools & Resources
LinkedIn, industry meetups, tech conferences (e.g., IoT India Congress), webinars
Career Connection
Networking opens doors to internships, placements, and collaborative opportunities, providing insights into real-world industry challenges and career paths.
Advanced Stage
Excel in Your Master''''s Project (Thesis)- (Semester 4)
Treat your final project as a flagship endeavor. Aim for an innovative solution to a significant problem, ensuring a robust design, thorough implementation, and rigorous evaluation. Document your work meticulously, preparing a high-quality thesis and presentation. Seek opportunities for patenting if the work is novel.
Tools & Resources
Relevant IoT platforms, development kits, simulation tools, academic writing resources, plagiarism checkers
Career Connection
A well-executed and documented thesis is your strongest showcase for interviews, demonstrating your ability to lead a complex project from conception to completion and contribute meaningfully to the field.
Prepare for Placements and Interviews- (Semester 4)
Start early with placement preparation. Brush up on core computer science concepts, data structures, algorithms, and, critically, IoT-specific knowledge (protocols, security, cloud platforms, embedded systems). Practice technical interviews, aptitude tests, and soft skills.
Tools & Resources
LeetCode, HackerRank, GeeksforGeeks, technical interview books, mock interview platforms, career services at SRMIST
Career Connection
Directly leads to successful placements in top-tier companies, securing roles aligned with your specialization and career aspirations.
Develop a Professional Portfolio- (Semester 4)
Compile all your projects, research papers, certifications, and significant contributions into a professional portfolio (e.g., personal website, GitHub profile, LinkedIn profile). This visually represents your skills and accomplishments, making a strong impression on potential employers.
Tools & Resources
GitHub, GitLab, personal website builder (e.g., WordPress, Jekyll), LinkedIn
Career Connection
A well-curated portfolio significantly enhances your visibility and credibility, showcasing your capabilities to recruiters and hiring managers in a competitive job market.
Program Structure and Curriculum
Eligibility:
- B.E/B.Tech in ECE / EEE / EIE / CSE / IT / ICT / Mechatronics / Instrumentation & Control / Computer & Communication Engineering / IoT / Sensor Technology with minimum aggregate of 50%.
Duration: 4 Semesters / 2 years
Credits: 70 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IOT20101 | IoT Architecture and Protocols | Core | 4 | IoT Architectures, IoT Design Principles, IoT Communication Protocols, Wireless Sensor Networks, CoAP and MQTT, Data Serialization |
| IOT20102 | Embedded Systems Design for IoT | Core | 4 | Embedded Processors, ARM Architecture, Real-Time Operating Systems, Microcontrollers, Peripheral Interfacing, Device Drivers |
| IOT20103 | Wireless Sensor Networks | Core | 4 | WSN Architecture, Sensor Node Hardware, MAC Protocols for WSN, Routing Protocols, Data Aggregation, Localization |
| IOT20104 | Data Analytics for IoT | Core | 4 | Data Analytics Fundamentals, Descriptive and Predictive Analytics, Machine Learning Algorithms, Big Data for IoT, Data Visualization, Data Mining |
| IOT20105 | Embedded Systems Design for IoT Laboratory | Lab | 2 | Microcontroller Programming, Sensor and Actuator Interfacing, Embedded Linux, IoT Device Setup, Protocol Implementation |
| IOT20106 | Data Analytics for IoT Laboratory | Lab | 2 | Python for Data Analytics, Data Preprocessing, ML Model Implementation, IoT Data Visualization, Big Data Tools, Predictive Modeling |
| IOT20E01 | Cloud Computing for IoT | Elective | 2 | Cloud Computing Concepts, Virtualization, Service and Deployment Models, Edge Computing, Fog Computing, Cloud-IoT Integration |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IOT20201 | IoT Security and Privacy | Core | 4 | IoT Security Requirements, Security Architectures, Cryptography, Authentication and Authorization, Secure Communication, Data Privacy |
| IOT20202 | Industrial IoT and Smart Systems | Core | 4 | IIoT Architecture, IIoT Applications, Smart Manufacturing, Cyber-Physical Systems, Industry 4.0, Digital Twin |
| IOT20203 | AI and Machine Learning for IoT | Core | 4 | AI and ML Fundamentals, Supervised and Unsupervised Learning, Deep Learning, Edge AI, ML Deployment, Model Optimization |
| IOT20204 | IoT Security and Privacy Laboratory | Lab | 2 | Network Security Tools, Cryptography Implementation, Secure Coding, Threat Modeling, Penetration Testing, Device Security Auditing |
| IOT20205 | Industrial IoT and Smart Systems Laboratory | Lab | 2 | SCADA/PLC, Industrial Sensor Interfacing, Edge Analytics, Digital Twin, Real-time Monitoring, Predictive Maintenance |
| IOT20206 | AI and Machine Learning for IoT Laboratory | Lab | 2 | ML Libraries, Data Preprocessing, Model Training, Edge ML Frameworks, Deep Learning, Reinforcement Learning |
| IOT20E04 | Smart Cities and Urban IoT | Elective | 2 | Smart City Architecture, Urban Infrastructure, Smart Transportation, Smart Energy, Waste Management, Public Safety |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IOT20301 | Project Phase I | Project | 6 | Problem Identification, Literature Survey, System Design, Methodology, Initial Implementation, Proposal Writing |
| IOT20E07 | Advanced Wireless Communication for IoT | Elective | 4 | 5G for IoT, LPWAN Technologies, Satellite IoT, Millimeter Wave, Cognitive Radio, MIMO Systems |
| IOT20E10 | Blockchain for IoT Security | Elective | 4 | Blockchain Fundamentals, Cryptography, Consensus Mechanisms, Smart Contracts, DLT, DApps, Blockchain-IoT Integration |
| IOT20E13 | Wearable IoT Devices | Elective | 2 | Wearable Sensor Design, Power Management, Data Acquisition, Communication, HCI, Health Monitoring |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IOT20401 | Project Phase II | Project | 12 | Advanced Implementation, Testing and Validation, Data Analysis, Thesis Writing, Project Defense, Research Publication |
