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B.Tech Computer Science and Engineering with Specialisation in Robotics and Artificial intelligence (AI)

program-details

The B.Tech. in Computer Science and Engineering (Robotics & Artificial Intelligence) is a four-year undergraduate program designed to equip students with a strong foundation in computer science, robotics, and artificial intelligence. The program integrates the principles of hardware and software systems to develop intelligent machines capable of performing complex tasks autonomously. Students gain hands-on experience in areas such as machine learning, deep learning, computer vision, control systems, and robotic automation. The curriculum blends theoretical knowledge with practical applications to prepare graduates for the rapidly evolving fields of robotics, automation, and AI-driven technologies.

Industry Immersion

The program emphasizes strong industry-academia collaboration through:

  • Internships and Industrial Training: Students undergo real-world industrial exposure with leading companies and research organizations in AI, robotics, and automation.
  • Live Projects and Hackathons: Opportunities to work on real-time projects and challenges in collaboration with industry partners.
  • Workshops and Guest Lectures: Regular sessions with industry experts, entrepreneurs, and researchers to understand current trends and emerging technologies.
  • Capstone Project: A final-year project that integrates interdisciplinary knowledge to design and implement innovative robotic or AI-based systems.

eligibility criteria

Passed 10+2 examination with Physics/ Mathematics/ Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship as per table 8.4 Agriculture stream (for Agriculture Engineering) Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together 
OR
Passed D.Voc. Stream in the same or allied sector (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme)

Admission criteria

Merit in Scholarship Test, subject to fulfilling eligibility criteria.

Duration

4 Years

fees

Details

Amount

Programme Fees (per Semester)

75000

Examination Fees

3000

International Programme Fees (per Year)

Not Applicable

Modes of Payment

Slab >=60% - 74.99% >=75% - 89.99% >=90% & Above
Fee ₹70000 ₹65000 ₹60000

Students can avail these slots depending on the marks they have scored. Each slot reflects a different academic range, helping students understand where they stand and what benefits they qualify for.

Programme Outcomes

  • Apply knowledge of mathematics, science, and engineering fundamentals to solve complex engineering problems in computer science and robotics.
  • Identify, analyze, and interpret real-world problems to develop effective AI and robotics-based solutions.
  • Design and develop intelligent systems, components, and processes that meet specified needs with due consideration for safety, ethics, and sustainability.
  • Conduct investigations and use research-based knowledge to analyze and interpret data for drawing valid conclusions.
  • Utilize modern tools, technologies, and programming frameworks to design, simulate, and implement AI and robotic systems effectively.
  • Understand the societal, health, safety, legal, and cultural issues relevant to AI and robotics and apply ethical principles in professional practice.

Programme Specific Outcomes

  • Apply core concepts of computer science, artificial intelligence, and machine learning to design and develop intelligent robotic systems capable of autonomous decision-making.
  • Integrate mechanical, electronic, and computational components to create efficient and adaptive robotic applications for real-world problems.
  • Utilize advanced AI algorithms, neural networks, computer vision, and data analytics for innovation and automation in robotics and intelligent systems.
  • Develop, test, and deploy AI-driven software and robotic solutions using modern programming tools, frameworks, and simulation environments.
  • Analyze, model, and optimize robotic and AI-based systems for improved performance, reliability, and scalability.
  • Conduct research and innovation in emerging areas such as autonomous vehicles, industrial automation, healthcare robotics, and smart.

Salient Features

  • Opportunities for global exposure through exchange programs, international internships, and collaborative projects.
  • Dedicated focus on developing strategic thinking, innovation, and teamwork skills for entrepreneurial and research-oriented careers.

How To Apply