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    Quick Facts

    Total Fees
    14.40 L
    Exam
    LPU NEST

    Fees Details

    General

    14.40 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

    Big Data and Artificial Intelligence Analytics- This program is designed to equip students with the expertise to thrive in a world powered by data and intelligence. The B.tech in Big Data and AI Analytics at Lovely Professional University (LPU), combines academic rigor with real-world application to prepare future-ready professionals. By integrating the capabilities of Big Data to collect, process, and analyze massive datasets with the transformative potential of Artificial Intelligence to build smart, adaptive, and predictive systems this programme opens doors to high-impact careers across industries. Whether in healthcare, finance, retail, or technology, this programme prepares graduates not just to participate in the digital economy, but to lead it. For Big Data and AI Analytics details and to secure your seat, refer to the information below.

    Duration : 4 yrs. (8 Semesters)


    Eligibility Criteria

    Pass with 60% aggregate marks  in 10+2 (with Physics, Mathematics and English) or equivalent, subject to qualifying LPUNEST*.

    For a candidate who has not studied English as a subject, the condition of English may be waived off, provided the candidate in his qualifying exam has studied in the English medium or an equivalent subject.

    (10% relaxation on aggregate mark for North-East states and Sikkim candidates, and 5% relaxation on aggregate mark to Defence Personnel and their Dependents, or Wards of Kashmiri Migrants)

    *The LPUNEST exam offers convenient choices to candidates: Online remotely proctored from Home (recommended by the university, based on available resources) or Test centre-based options.

    Admission Details

    Merit in LPUNEST, subject to fulfilling eligibility criteria.

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