Online MTech in IoT & Autonomous System


This comprehensive program equips students with in-depth knowledge of IoT architecture, communication protocols, and autonomous decision-making. Through a structured curriculum spanning wireless communication, cyber-physical systems, and intelligent automation, students gain hands-on experience in real-world Internet of Things course implementations. As an industry-aligned IoT online course, it focuses on emerging technologies like 5G/6G, digital twins, and network security, preparing learners for cutting-edge careers in IoT and autonomous systems. Practical projects, including a capstone and major project, ensure that students develop the technical and problem-solving skills needed to design and deploy advanced M Tech in IoT solutions.

Commencement Date: 5th July (Saturday)
Campus Immersion Opportunity: One week per year
Alumni Status: Earn IIIT Sri City alumni status upon completion, with access to the Alumni Portal and exclusive networking opportunities

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Course Eligibility:


  • Applicants should have a B.Tech / BE /BS/ M.Tech / MSc (4 semester program) / MCA (4-semester program) / MS Degree (min. 4 semester) / equivalent degree in the relevant discipline with at least 55% marks or 5.5/10 CPI. In the case of the candidate belonging to SC, ST, or Persons with Disability (PwD) category, this is relaxed to 50% or equivalent 5.0 CGPA/CPI
  • For MCA/MSC passed graduates, the percentage score of MCA/MSC would be considered. For BE/BTech Engineering graduates without PG specialization, the percentage score of the undergraduate degree would be considered. For a post-graduation in the Engineering field of study,
  • PG score qualification can be considered.
  • GATE is not mandatory.
  • Selection process will be scheduled post-counseling & application process, depending on the number of eligible applications as per seat availability for the program. This entire process will be online.
  • Candidates who do not meet the minimum CGPA or percentage requirement, can still be considered if they provide relevant work experience in the technical field.

Key Benefits of Online MTech in IoT and Autonomous Systems


Comprehensive IoT & Autonomous Systems Expertise

Develop a strong foundation in IoT architecture, communication protocols, and autonomous decision-making through an industry-aligned IoT online course.

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Hands-on Learning & Real-world Applications

Engage in practical labs, network simulations, and end-to-end IoT system implementations.

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Industry-Relevant Projects & Practical Experience

Work on a capstone project and major research-based projects, building solutions for real-world challenges.

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Exposure to Emerging Technologies

Gain insights into 5G/6G communication, digital twins, and network security, preparing for the future of IoT.

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Strong Focus on Wireless Communication

Learn advanced wireless communication techniques and IoT protocols essential for seamless connectivity, making it ideal for learners pursuing an M Tech in IoT.

Program Objectives:


    • Develop a deep understanding of IoT systems, cyber-physical systems, and autonomous technologies through a comprehensive IoT online course.
    • Equip students with skills to design, deploy, and manage IoT-based intelligent solutions.
    • Foster proficiency in wireless communication and IoT protocols for seamless connectivity.
    • Strengthen programming and simulation capabilities for IoT and network security applications.
    • Enable students to work on real-world projects, focusing on aerial and underwater autonomous vehicles.

    Program Highlights:


    • Live sessions by the prestigious and renowned IIIT Sri City faculty
    • An Esteemed Degree from IIIT Sri City
    • Hands-on experience with modern tools
    • Flexible online learning environment
    • Industry-aligned curriculum
    • IIIT Sri City Alumni Status

Program Outcome:


  • Ability to design and implement IoT and autonomous systems using modern technologies, making this IoT online course ideal for future innovators.
  • Proficiency in integrating wireless communication and network protocols in IoT applications.
  • Competence in developing intelligent and secure autonomous solutions for various industries.
  • Hands-on experience with network simulation, Python programming, and digital twin applications.
  • Readiness to contribute to cutting-edge IoT and automation projects in professional settings.

Program Structure

Introduction to Internet of Things
  • Fundamentals of IoT & Its Ecosystem
  • Connectivity Technologies in IoT
  • Communication Protocols in IoT
  • Advanced IoT Sub-Modules & Emerging Technologies
  • Arduino-Based IoT Development
  • Raspberry Pi for IoT & Cloud Integration
Introduction to Cyber Physical System
  • Examples and Basic Technologies
  • CPS – Platform components
  • Introduction to Robotics
  • Principles of Automated Control Design
  • CPS Case Studies: Automotive
Digital Twins – Concepts and Applications
  • Introduction to Industry 4.0
  • Digital Twins in Industry 4.0
  • Building Blocks of Digital Twins
  • Digital Shadow & Digital Thread
  • Types & Applications of Digital Twins
  • Communication & AI Integration in Digital Twins
Intelligent and Autonomous System (IAS)
  • Introduction to Autonomous Systems
  • Intelligent Systems & Knowledge Processing
  • Wireless Sensor Networks & Communication Technologies
  • Design & Development of Autonomous Systems
  • Case Studies in Intelligent & Autonomous Systems
  • Prediction Algorithms & Integral Communication Systems
Wireless Communication
  • Introduction to Wireless Communication Systems
  • Cellular Network Strategies & Access Techniques
  • Radio Wave Propagation & Path Loss Models
  • Small-Scale Multipath Propagation & Fading
  • Wireless System Components & Data Transmission
  • Advanced Wireless Technologies
  • Advanced Wireless Communications and IoT Protocols
  • MIMO and Massive MIMO
  • OFDM, Non-Orthogonal Multiple Access (NOMA)
  • Multihop Communication
  • Ultra Wide Band, Cognitive Radio and Software Defined Radio
  • Self Organising Networks (SON)
  • TX-RX Chain Prototype
B4G/5G/Advanced Topics in Communication Systems
  • System Architectures
  • Communications Protocols
  • Applications
  • Advanced Communication Paradigms
  • Smart/Intelligent Communication Systems
  • Security and Privacy Engineering
Introduction to Cyber Security and Network Security
  • Foundations of Cybersecurity
  • Security Layer
  • Data Security and Access Control
  • Network Security
  • Operating System Security
  • Incidence Response
Technologies for IoT and Autonomous System
  • Control Systems for Autonomous Systems
  • Sensing and Perception I
  • Sensing and Perception II
  • Navigation
  • SDN in IoT
  • Cloud Computing, Service Models for IoT
Networks, Data Science and Python Programming
  • Introduction to Python
  • Introduction to NumPy and 2D Plotting
  • Scientific Computing Using SciPy
  • Time-Series Analysis and Data Manipulation with Pandas
  • Data Access and Visualization
  • Introduction to Machine Learning with Scikit-Learn
Applications of Autonomous Systems: Aerial and Underwater Autonomous Vehicl
  • Introduction to Python
  • Sensors for aerial and underwater vehicles
  • Motion Planning and Control Strategies
  • AI-Driven Decision Making for Autonomous Vehicles
  • Design and Architecture of Autonomous Vehicles
  • Applications and Future of Autonomous Systems

Tools


Exam & Assessment Structure


M.Tech online program in IoT and Autonomous Systems follows a structured evaluation system with mid-semester and end-semester exams assessing theoretical concepts. Continuous assessments, including lab work, assignments, projects, and quizzes, ensure ongoing evaluation aligned with course requirements.

Exam Type Focus Areas
Mid-Sem Exam Covers embedded systems, IoT architecture, basic machine learning algorithms, and sensor networks.
End-Sem Exam Assesses advanced topics in IoT protocols, autonomous system design, real-time systems, and data analytics.
Continuous Assessments Includes project work, lab-based assignments, IoT device development, and practical evaluations of autonomous system designs.

This proposed examination structure ensures that students are thoroughly assessed on both their theoretical knowledge and their ability to apply these concepts in real-world scenarios.

Exam Type Focus Areas
Mid Semester Exam – 30% (MCQs + Fill in the Blanks + Descriptive Questions)
End Semester Exam – 40% (MCQs + Fill in the Blanks + Descriptive Questions)
Continuous Evaluation -30% (To be decided by faculty course wise)

Fee Structure


Semester Instalment 1 Instalment 2 Optional Campus Immersion Optional Alumni Fee Total
Sem 1 40000 25000+2000 67000
Sem 2 40000 25000 Actuals 65000
Sem 3 40000 25000 6000 65000
Sem 4 40000 25000 Actuals 65000
Total 160000 102000 6000 262000

Cancellation & Fee Refund Policy:

Application Fee – Rs 5000 (Non-refundable)

Course Fee Refund:

  • A refund of 80% of the paid course fee will be issued if a request is raised before the Batch commencement date.
  • No refund will be provided on or after the batch commencement date.

Admission Process


Program Coordinator


Ramesh-Kumar
​Dr Divyabramham K
​IoT and Autonomous System Faculty Coordinator

​Dr. Kandimalla Divyabramham is an Associate Professor and Associate Dean of Student Affairs at IIIT Sri City, where he also serves as Chief Warden. He obtained his M.Tech and Ph.D. in Electronics & Electrical Communication Engineering from IIT Kharagpur. His research focuses on computational electromagnetics, including high-frequency asymptotic techniques, hybrid methods like the Method of Moments combined with the Uniform Theory of Diffraction, electromagnetic scattering, radar cross-section analysis, and the design of passive components for wireless applications.
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In recognition of his work, Dr. Divyabramham was a finalist in the prestigious 2015 IEEE Symposium on Antennas and Propagation student paper competition, being one of 13 finalists out of 173 submissions and the sole representative from India in this category. He received a $1,000 USD financial support from the organizing committee. Additionally, he was awarded the International Travel Support (ITS) grant under the Young Scientist scheme from the Science and Engineering Research Board (SERB), DST, Government of India, to participate in the IEEE AP-S/URSI 2015 conference.

Sample Certificate


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Frequently Asked Questions(FAQ’s)


The MTech in IoT and Autonomous Systems at IIIT Sri City prepares students for careers in Internet of Things (IoT) development, wireless communication, cyber-physical systems, and autonomous decision-making. The curriculum covers IoT architectures, 5G/6G networks, network security, and digital twin technologies, ensuring graduates are industry-ready.

The program provides hands-on training in:

The program provides hands-on training in:

  • Python, AI-driven IoT frameworks, and network simulation tools
  • Cyber-physical systems for automation
  • 5G/6G wireless technologies for IoT connectivity
  • Digital twin modeling for real-time IoT applications
  • Wireless IoT communication protocols

Applicants need a relevant B.Tech/BE/BS/M.Tech/MSc/MCA/MS (4 semesters) or equivalent degree with at least 55% marks (50% for SC/ST/PwD). GATE is not mandatory, and work experience may be considered for those with lower scores.The selection process is online and based on seat availability. Refer to the full eligibility criteria for a smooth admission process.

Yes, upon successfully completing the MTech in IoT and Autonomous Systems, you will receive a postgraduate degree from IIIT Sri City, certifying your expertise in IoT, autonomous technologies, and advanced networking systems.

This MTech in IoT and Autonomous Systems goes beyond standard IoT courses by integrating autonomous systems, covering intelligent automation, aerial and underwater vehicles, cyber-physical systems, and 5G/6G networking. Its flexible schedule makes it ideal for working professionals looking to upskill in cutting-edge Internet of Things technologies.