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    Quick Facts

    Total Fees
    8.58 L
    Seats
    60

    Fees Details

    General

    ₹ 8.58 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

    48 Months

    MGM University’s B.Tech. Computer Science and Engineering (Artificial Intelligence)  with Advanced and Modern AI is a pioneering undergraduate program designed to shape future-ready AI professionals equipped for a global, interdisciplinary workforce. Developed in strategic partnership with IBM, this program integrates core IT education with cutting-edge artificial intelligence, machine learning, and deep learning frameworks, reflecting the transformative shifts of Industry 4.0 and beyond.

    The program is delivered through an outcome-based education model supported by a flexible Choice-Based Credit System (CBCS). Students engage in a balanced academic journey, mastering both foundational IT skills and specialized AI applications. Core focus areas include  AI and ML Essentials, Machine Learning Engineering, Natural Language Processing, Computer Vision, Generative AI, Applied Large Language Model Development & Deployment and Explainable AI ensuring a comprehensive and practical understanding of modern AI tools and technologies.

    A unique strength of this program is its strong industry orientation, driven by IBM’s global expertise. Students gain hands-on experience using IBM’s AI platforms and tools, such as IBM Watson, IBM Cloud Pak for Data, and OpenScale. They also undertake real-world AI projects, participate in capstone projects under expert mentorship, and receive industry-recognized certifications and digital badges directly from IBM—significantly boosting their employability and readiness for AI-focused careers.

    The curriculum further includes modules on AI modeling and deployment, ethical AI governance, human-centered AI design, AI for IoT systems, blockchain integration, and cybersecurity in AI systems. This integrated approach ensures students graduate with a solid grounding in responsible, high-impact AI development, suited for a wide variety of sectors and applications.

    MGM University’s program emphasizes not just technical proficiency but also the development of critical thinking, innovation, and collaboration skills. Through collaborative research, innovation labs, IBM-led workshops, and hackathons, students learn to solve real-world problems with creativity and confidence. The program opens doors to careers such as AI Developer, Data Scientist, AI Product Manager, ML Engineer, and roles in AI research and policy-making.

    Adding a global dimension, the program provides access to international learning opportunities, exchange programs, and exposure to cutting-edge developments through partnerships and expert sessions with global leaders in AI. Students are actively encouraged to participate in international competitions, innovation challenges, and interdisciplinary AI research.

    This future-centric B.Tech. program stands as a center of excellence in AI-driven IT education at MGM University. In collaboration with IBM, it shapes adaptable, ethical, and globally competent leaders, ready to revolutionize industries and societies through the intelligent digital transformation.


    Eligibility Criteria

    1. Maharashtra State Candidate.

    • The Candidate should be an Indian National and have domicile in Maharashtra state and/or born in Maharashtra state.
    • Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic Science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and the candidate should have appeared in MGMU - CET 2026/ MHT-CET 2026/PERA CET 2026and should obtain non zero score in MGMU - CET 2026/ MHT-CET 2026/PERA CET 2026. However, preference shall be given to the candidate obtaining a non-zero positive score in MGMU - CET 2026over the candidates who obtained a non-zero score in MHT-CET 2026/ PERA-CET 2026.
    • Passed Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only).

    2. All India Candidates

    • The Candidate should be an Indian
    • Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic Science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and candidate should have appeared in MGMU - CET 2026/ JEE Mains Paper-I/ MHT-CET 2026/ PERA-CET 2026 and should obtain non-zero score in MGMU - CET 2026/ JEE Mains Paper-I/ MHT-CET 2026/ PERA-CET 2026. However, preference shall be given to the candidate obtaining a non-zero positive score in JEE Mains Paper-I over the candidates who obtained a non-zero score in MGMU - CET 2026/ MHT-CET 2026/ PERA-CET 2026.
    • Passed Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only).

    3. NRI* Candidate

    • The candidate should be an Indian National
    • The candidate should have passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic Science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks in the above subjects taken together.
    • NRI Seats are based on AICTE Norms.

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