Kaveri University offers 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.
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, robotics, control systems, and automation technologies.
Develop the ability to design, analyze, and deploy robotic systems and intelligent automation solutions.
Equip students with practical skills in programming robots, operating sensors/actuators, and using simulation tools.
Provide hands-on experience with AI-based control, machine vision, embedded systems, and autonomous navigation.
Foster innovation, teamwork, and problem-solving to tackle challenges in robotics and industrial automation.
Promote ethical responsibility and awareness of the societal impact of robotics and automation.
Prepare students for advanced research, entrepreneurship, and industry careers in robotics and intelligent systems.
Graduates of this program can pursue dynamic careers across robotics manufacturing, automation industries, automotive, aerospace, healthcare, logistics, and technology sectors. Key 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.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.
