B. Tech. Computer Science and Engineering (IoT)

B.Tech AI & ML Program

Programme Overview

The B.Tech. in Computer Science and Engineering (Internet of Things) is an undergraduate program, structured over eight semesters. The program focuses on the design, development, and deployment of smart interconnected systems using sensors, devices, networks, and data analytics..

The curriculum covers key areas such as programming, data structures, embedded systems, sensors and actuators, wireless communication, cloud computing, data analytics, and IoT architectures. It enables students to build intelligent systems that can collect, process, and exchange data in real time across various applications.

Students gain strong theoretical knowledge and practical exposure through laboratories, project-based learning, internships, and research. The programme emphasizes innovation, system design, and problem-solving skills to develop smart solutions for real-world challenges in domains like smart cities, healthcare, agriculture, and industrial automation.

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Programme Highlights

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Interdisciplinary learning across computer science, electronics, and communication domains

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Focus on IoT, embedded systems, cloud computing, sensors, wireless communication and data analytics

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Strong foundation in computer science and embedded systems

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Hands-on, experiential, and project-based learning approach

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Modern labs with IoT devices and development platforms

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Internship, industry collaboration, and research opportunities

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Emphasis on real-time data processing and smart applications

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Flexible electives in emerging IoT and smart technologies

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Skill development aligned with Industry 4.0 requirements

Career Pathways

Graduates of Computer Science and Engineering (Internet of Things) can explore diverse opportunities in industries such as smart technology, manufacturing, healthcare, agriculture, transportation, and IT sectors.

Career Roles Include:

IoT Engineer

Embedded Systems Engineer

IoT Solutions Architect

Network Engineer

Cloud IoT Developer

Automation Engineer

Cybersecurity Analyst (IoT)

Smart Systems Developer

Programme Structure

The B.Tech. in Computer Science and Engineering (Internet of Things) is a four-year program divided into eight semesters, comprising a total of 163 credits. The curriculum includes a balanced mix of core courses, electives, laboratory work, and project-based learning, designed to progressively build students’ technical knowledge and practical skills.

Semester-wise Curriculum Overview

Semesters 1 & 2: Foundation Stage: Focuses on building a strong foundation in Mathematics, Basic Sciences, and Computer Science fundamentals. Students are introduced to programming, problem-solving techniques, and basic electronics concepts. The curriculum also includes engineering graphics and communication skills to enhance visualization, teamwork, and professional interaction.

Semesters 3 & 4: Core Engineering Fundamentals: Focuses on developing core competencies in computer science and electronics. Students learn data structures, object-oriented programming, digital electronics, and microprocessors. The curriculum integrates networking fundamentals and database management systems to support IoT system development and connectivity.

Semesters 5 & 6: IoT Core & Applications: Focuses on advanced IoT concepts including embedded systems, sensor networks, wireless communication, and cloud integration. Students gain hands-on experience in designing IoT architectures, interfacing hardware devices, and building smart applications. The curriculum also includes data analytics for IoT and cybersecurity fundamentals. Practical exposure is provided through internships, mini-projects, and skill development activities.

Semesters 7 & 8: Advanced Learning & Specialization : Focuses on advanced topics such as industrial IoT, smart cities, edge computing, and AI integration in IoT systems. Students explore emerging technologies through professional electives and gain industry exposure via internships and training. The programme culminates in a capstone project, enabling students to design and implement real-world IoT solutions.

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.

Semester-wise curriculum graph
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Eligibility Criteria

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Candidates seeking admission to the B.Tech. programs must have successfully completed their 10+2 / Intermediate or equivalent examination from a recognized board with Physics, Mathematics, and Chemistry (or relevant subjects), securing a minimum of 60% aggregate marks in the qualifying examination.

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Admissions will be based on merit in the qualifying examination and/or performance in recognized national or state-level entrance examinations, such as Joint Entrance Examination (JEE) or relevant State Common Entrance Tests, as per the admission guidelines of the University.

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Fee Structure

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 $5000
Hostel Fees
(Includes Room & Mess Charges)
$2500
Caution Deposit
(Refundable at the End of the Course or After Graduation)
$400

Note:
Hostel stay is Mandatory for students and fees are subject to revision every year

Refund Rules:
Fee refund & cancellation policy will be as per guidelines published by UGC/Statutory authorities.

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Important Dates

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Admissions for the academic year 2026-27 are now open.

Note:
Dates and schedules are subject to change.

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Kaveri University was established as per the Telangana Private Universities (Establishment & Regulation) Act, 2018 under section 3.

Admissions Open 2026-27