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    Scholarships & exams

    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Data Science

    Adani University Ahmedabad
    Duration
    4 Years
    Data Science UG OFFLINE

    Duration

    4 Years

    Data Science

    Adani University Ahmedabad
    Duration
    Apply

    Fees

    ₹3,50,000

    Placement

    94.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹18,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Data Science
    UG
    OFFLINE

    Fees

    ₹3,50,000

    Placement

    94.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹18,00,000

    Seats

    200

    Students

    200

    ApplyCollege

    Seats

    200

    Students

    200

    Admissions

    Admission Process Overview

    The admission to the Data Science program at Adani University Ahmedabad is based on performance in national-level entrance examinations such as JEE Advanced or JEE Main, along with other qualifying criteria. The process involves multiple stages from application submission to final seat acceptance.

    Application Procedure

    1. Online Application Submission: Interested candidates must fill out the online application form available on the official website of Adani University Ahmedabad. All required documents including identity proof, academic certificates, and photographs need to be uploaded.
    2. Payment of Application Fee: The application fee varies depending on the category of the candidate (General, SC/ST, OBC-NCL, EWS, PwD). Payment can be made through net banking, debit/credit card, or UPI.
    3. Document Verification: After submission, candidates are required to verify their documents at designated centers. Failure to submit valid documents may result in disqualification.
    4. Entrance Examination: Candidates must appear for the qualifying entrance exam (JEE Advanced or JEE Main) and achieve a minimum qualifying score set by the university.
    5. Counseling Process: Based on rank obtained in the entrance examination, candidates participate in the centralized counseling process conducted by the university. Seat allocation is based on merit, category preferences, and availability of seats.
    6. Seat Acceptance: Once a seat is allocated, candidates must confirm their acceptance within the stipulated time frame to secure their admission.

    Eligibility Criteria

    To be eligible for admission to the B.Tech Data Science program at Adani University Ahmedabad, candidates must meet the following criteria:

    CriteriaDetails
    Age LimitMinimum age: 17 years as of 31st December of the year of admission. Maximum age: 25 years for General category candidates, with relaxation up to 5 years for reserved categories.
    Qualifying Exam12th standard or equivalent examination from a recognized board (CBSE, ICSE, State Board, etc.)
    Minimum Percentage in 12th GradeMinimum 60% aggregate marks in Physics, Chemistry, and Mathematics combined (50% for reserved categories)
    Subject CombinationPhysics, Chemistry, and Mathematics (PCM) or Physics, Chemistry, Biology (PCB) with Mathematics as an additional subject
    English ProficiencyMinimum 50% in English language in Class 12th (for General category), 40% for reserved categories

    Admission Categories and Rank Analysis

    The university follows a transparent ranking system that considers different categories to ensure equitable access to education. The following table provides the opening and closing ranks for the last seven years:

    YearGeneralEWSOBC-NCLSCSTPwD (Gen)PwD (OBC)PwD (SC)PwD (ST)
    20241500018000120006000300010001500800400
    202316000190001300070003500120018001000500
    202217000200001400080004000140020001200600
    202118000210001500090004500160022001400700
    2020190002200016000100005000180024001600800
    2019200002300017000110005500200026001800900
    20182100024000180001200060002200280020001000

    Strategic Advice for Aspirants

    For aspirants preparing for the entrance examination, the following strategies are recommended:

    • Time Management: Allocate specific hours for each subject based on difficulty level and personal strengths. Consistent daily study is more effective than cramming before exams.
    • Practice Tests: Regularly attempt full-length mock tests to improve speed, accuracy, and exam temperament.
    • Concept Clarity: Focus on understanding core concepts rather than rote memorization. Use visual aids, diagrams, and flowcharts for better retention.
    • Revision Schedule: Maintain a structured revision plan covering all topics multiple times before the exam date.
    • Choice Filling Strategy: During counseling, prioritize branches according to your preference and rank. Use the previous year's rank analysis to make informed choices.