The B.Tech. in Computer Science and Engineering (Robotics and Automation) is a four-year undergraduate programme designed to prepare students for the future of intelligent machines and automated systems. This multidisciplinary programme integrates core computer science with robotics, artificial intelligence, embedded systems, and industrial automation to create technology professionals capable of driving the next wave of innovation.
Students gain hands-on experience in robot design, sensor integration, control systems, machine learning, autonomous navigation, and smart automation technologies. The curriculum blends theoretical learning with practical training through robotics labs, simulation environments, automation tools, and real-world project development.
The programme equips graduates with the skills required to build and program intelligent robots, develop AI-driven automation solutions, and contribute to emerging fields such as autonomous vehicles, drones, humanoid robotics, and Industry 4.0 systems.
Graduates of this program can pursue dynamic careers across robotics manufacturing, automation industries, automotive, aerospace, healthcare, logistics, and technology sectors.
Career Roles Include:
Robotics Engineer
Automation Engineer
Embedded Systems Engineer
Control Systems Engineer
Machine Vision Engineer
AI & Robotics Programmer
Industrial Automation Specialist
Mechatronics Engineer
Autonomous Systems Developer
Maintenance & Robotics System Integrator
Research Engineer (Robotics/Automation)
IoT and Smart Manufacturing Specialist
The B.Tech. in Computer Science and Engineering (Robotics and Automation) 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.
Semesters 1 & 2: Foundation SCategory: Provides a strong foundation in mathematics and basic sciences, enabling analytical thinking and problem-solving essential for robotics and automation. It integrates fundamental concepts of electrical, electronics, and mechanical engineering to support interdisciplinary system development. Students also develop programming skills for problem solving using structured and algorithmic approaches. Additionally, engineering graphics enhances design visualization, while communication skills prepare students for effective collaboration and professional practice in robotics and automation domains.
Semesters 3 & 4: Core Computing & Engineering Category: This component builds core competencies in computing and system design through interdisciplinary courses. Integrates digital electronics with sensors and actuators for real-world interfacing, along with microprocessors and microcontrollers for embedded system development. Students gain knowledge of control systems and basic robotics for automation, supported by concepts of signals and systems or engineering mechanics to understand system behavior and dynamics.
Semesters 5 & 6: Robotics & Automation Core Category: Focuses on advanced robotics and intelligent automation, including robotics engineering, kinematics, and embedded systems for real-time applications. Integration of various technologies such as artificial intelligence, machine learning, and computer vision to enable perception and decision-making in autonomous systems. Students also explore IoT for connected devices, while gaining practical experience through mini projects, internships, and skill development activities for real-world robotic and automation solutions.
Semesters 7 & 8: Advanced & Specialization Category : Focuses on advanced robotics and autonomous systems, including human-robot interaction and smart manufacturing applications. Students explore emerging technologies through professional electives and gain hands-on industry exposure via internships and training. The programme culminates with a capstone project, enabling students to design and develop innovative, real-world robotics and automation 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.
| 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.
Note:
Dates and schedules are subject to change.
Kaveri University was established as per the Telangana Private Universities (Establishment & Regulation) Act, 2018 under section 3.