The B.Tech. Computer Science and Engineering (IoT) program focuses on building intelligent, connected systems that communicate, sense, and process data across digital and physical environments. The curriculum integrates core computer science with IoT technologies such as embedded systems, wireless communication, sensor networks, cloud computing, edge computing, data analytics, and cyber-physical systems.
Students gain hands-on experience using microcontrollers, sensors, IoT platforms, and cloud services to design smart devices and applications. The program prepares graduates to develop end-to-end IoT solutions for smart homes, smart cities, healthcare, agriculture, transportation, and industrial automation—aligning with emerging industry needs and the global digital transformation.
Interdisciplinary Curriculum:Combines computer science, mathematics, statistics, and emerging AI technologies with electives from fields such as agriculture, healthcare, fintech, and automation.
Industry-Aligned Content:Designed in consultation with industry partners and aligned with frameworks like NASSCOM Future Skills and AICTE Model Curriculum.
Hands-on Learning:Project-based pedagogy, lab-intensive courses, and real-world problem-solving using Python, TensorFlow, PyTorch, and cloud platforms.
Capstone Projects & Internships: Mandatory industry internship and a final-year capstone project in collaboration with startups or corporate R&D units.
AI &AgriTech Integration: Unique opportunity to apply AI to agriculture and sustainability domains in line with Kaveri University’s core strengths.
Global Readiness: Courses on Responsible AI, cross-cultural communication, and research exposure to prepare students for international opportunities.
Entrepreneurship Support:Access to the university’s Innovation & Incubation Center for AI-driven startups and product development.
The program aims to:
Build a strong foundation in computer science, networking, electronics, and embedded systems.
Equip students with skills to design and deploy IoT architectures, smart sensors, and connected devices.
Develop competency in cloud integration, data processing, and real-time monitoring systems.
Provide hands-on experience with IoT development boards, wireless protocols, cloud platforms, and edge technologies.
Foster creativity, problem-solving, and system-level thinking for building secure and scalable IoT solutions.
Instill awareness of cybersecurity, privacy, and ethical considerations in IoT environments.
Prepare graduates for advanced studies, research, and industry roles in IoT-driven domains.
Graduates of the IoT program can pursue exciting and high-demand careers across smart manufacturing, telecommunications, consumer electronics, healthcare, agriculture, automotive, and IT sectors. Common career roles include:
IoT Developer/Engineer
Embedded Systems Engineer
IoT Network Engineer
IoT Solutions Architect
Cloud IoT Engineer
Firmware Developer
Sensor and Hardware Engineer
IoT Security Analyst
Data Analyst (IoT Systems)
Edge Computing Engineer
Automation and Control Engineer
Smart Device Designer
The B.TechCSE(AI & ML) program is structured over eight semesters, comprising a total of 163 credits, and includes a balanced blend of core courses, electives, laboratory work, internships, and a capstone project. The curriculum is designed to progressively build foundational knowledge, domain expertise, and practical skills.
Semesters 1–2: Foundations: Focus on core subjects in Mathematics, Physics, and introductory courses in Computer Science, including programming and data structures, laying the groundwork for AI and ML competencies.
Semesters 3–4: Core Computing Disciplines and AI Fundamentals: Courses in software engineering, database systems, operating systems, machine learning, and artificial intelligence provide a strong theoretical and practical base.
Semesters 5–6: Specializations and Advanced Technologies: Students choose from domain-specific electives in areas such as Advanced Machine Learning, Natural Language Processing, Data Science, Cybersecurity, and Edge/Cloud Computing, enabling in-depth skill development.
Semesters 7–8:Capstone and Emerging Technologies:Emphasis on project-based learning through a capstone project, along with exposure to emerging technologies like Generative AI, Explainable AI, AI in IoT, and Responsible AI.
The program adopts an outcome-based education (OBE) model with flexibility under the Choice Based Credit System (CBCS) and supports credit accumulation through the Academic Bank of Credits (ABC) framework
Qualify in JEE (MAIN) 2025 examination and be eligible to write the JEE Advanced 2025 Or Top All India Rank in JEE (MAIN) 2025 examination (Exact cut off rank would be announced upon declaration of results).
A Valid SAT Subject test Score (which should include Mathematics, Physics, Chemistry) – Minimum 1800
A Valid SAT Test Score – Minimum of 800
A Valid ACT Score – Minimum Composite Score of 18
Note:
| Students Under Indian Category | ₹ Per Annum |
|---|---|
| Academic Fees | ₹ 3,00,000 |
| Hostel Fees (2 Sharing Includes Room & Mess Charges) |
₹ 1,50,000 |
| Hostel Fees (4 Sharing Includes Room & Mess Charges) |
₹ 1,25,000 |
| Caution Deposit (Refundable at the End of the Course or After Graduation) |
₹ 20,000 |
| Students Under NRI/PIO/FO Category | $ USD Per Annum |
|---|---|
| Academic Fees | $3500 |
| Hostel Fees (Includes Room & Mess Charges) |
$2000 |
| Caution Deposit (Refundable at the End of the Course or After Graduation) |
$400 |
Note:
Hostel stay is Mandatory for students andfees are subject to revision every year
Refund Rules:
Fee refund & cancellation policy will be as per guidelines published by UGC/Statutory authorities.
Graduates of this program can pursue careers as:
Kaveri University was established as per the Telangana Private Universities (Establishment & Regulation) Act, 2018 under section 3.
