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    Quick Facts

    Total Fees
    10.01 L

    Fees Details

    General

    ₹ 10.01 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

    24 Months

    The MBA PRO in AI and Data Analytics is a two-year postgraduate management program offered by S-VYASA University. This course enables students to master AI, decode data, and drive business decisions with engineering precision.

    Unlike conventional MBA programs, our curriculum goes beyond basic coding and data analysis—it is designed to engineer the entire decision-making pipeline, from data ingestion to insight generation and intelligent action. Students develop a Decision Engineering mindset, building critical thinking from first principles and learning how to transform ideas into deployable, data-driven solutions.

    The program features SAS-powered full-stack skills in data modeling, risk analytics, and visualization, combined with hands-on training in scalable, cloud-native platforms. With a strong emphasis on ethical and impactful AI, students explore responsible AI practices, embedded storytelling, and business ethics—preparing them to lead with insight, integrity, and innovation in today's data-driven world.


    Eligibility Criteria

    • A bachelor’s degree with 50% from any recognized university.
    • Should have completed their higher secondary education (10+2) or equivalent with a minimum aggregate score of 50%
    • Optional: Score a valid cut-off on relevant entrance exams, such as CAT, MAT ,XAT, PG - CET
    • Note: 5%relaxation for SC/ST Students, but extended for OBC ALSO, for eligibility of admission
    • Age Limit: there is no age limit for applying to an MBA. However, candidates with a gap in career / bachelors degree of over 3 years may be required to mandatorily take a bridge programme.
    • Work Experience: No specific requirement of relevant work experience in the field, and this this is optional.

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