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    Quick Facts

    Total Fees
    9.25 L

    Fees Details

    General

    9.25 L

    Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

    Course Details

    MODE

    Full time

    DURATION

    36 Months

    The B.Tech in Computer Science (Artificial Intelligence & Machine Learning) at the S-VYASA Global City Campus Deemed to be University, is an innovative program designed to prepare students for the rapidly evolving world of intelligent technologies. This program focuses on the development and application of AI-driven systems that can learn, adapt, and make decisions, shaping the future of industries and everyday life.

    With a strong foundation in computer science principles, the program introduces students to modern AI and ML techniques through a balanced mix of theory and practical implementation. It emphasizes problem-solving, critical thinking, and innovation, enabling students to design smart solutions for real-world challenges.

    Students gain hands-on experience through projects, workshops, and internships, working with current tools and platforms used in AI development. The program also encourages research, collaborative learning, and industry exposure to ensure graduates are ready to contribute meaningfully in the AI and tech ecosystem.

    Supported by experienced faculty and a tech-forward learning environment, this program equips students with the knowledge and confidence to pursue careers in artificial intelligence, machine learning, data science, intelligent automation, and emerging tech domains.


    Eligibility Criteria

    • Candidates must have passed 10+2 (or equivalent) from a recognized board.
    • They should have studied Physics and Mathematics as compulsory subjects along with Chemistry, Biotechnology, Biology, or a Technical Vocational subject.
    • Minimum Marks Requirement:
      • General category: 45% aggregate in the above subjects.
      • Reserved categories (SC/ST/OBC/PwD): 40% aggregate.

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