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    Quick Facts

    Total Fees
    21.45 L
    Exam
    CAT
    Seats
    180

    Fees Details

    General

    21.45 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

    Post Graduate Diploma in Big Data Analytics is a two-year full-time course offered by Goa Institute of Management, Goa and approved by All India Council for Technical Education.

    Big Data Analytics (BDA) has created a new paradigm of facts-based or data-driven decision making in the area of management. The world of business has recognized its prowess and many companies have already adopted it in varying degrees. But BDA is not confined only to businesses and it holds huge promise to serve governments in policy formulations as well. GIM in its 25th year of operation has decided to make its foray into this area.

    The main objective of the program is to create future-ready, data-fluent managers, who shall be fully equipped to manage the new paradigm of data-driven decision making. The program is designed to give the students an adequate understanding of different areas of management with a focus on the application of the BDA tools and techniques to solve business problems. Students will have exposure to statistical theory, data management including big data, and business intelligence systems including machine learning, artificial intelligence, and deep learning and related tools, techniques and algorithms. The major emphasis will be on providing hands-on training to the students using all major software tools in vogue and working on actual industry projects. At the end of the program, the students will be fully capable of comprehending actual business situations and apply appropriate tools and techniques of BDA to get enhanced insights into/around the issues/problems sensed by them so as to devise optimum solutions. The program is structured to have a 40:60 mix of business knowledge and BDA related experience. The state-of-the-art Data Science Laboratory with cloud service which will enable the students.


    Eligibility Criteria

    Applications for Admission to full time PGDM programmes are invited from graduates. Shortlisted candidates are invited for a further evaluation.

    • Minimum 50% aggregate in Bachelor’s Degree*Candidates who will complete all requirements for the degree by June 2025 may also apply. Candidates in the last year of degree should have obtained minimum 50% aggregate (45% for SC/ST category) in the latest examination.

    Admission Details

    • Minimum 50% aggregate in Bachelor’s Degree*Candidates who will complete all requirements for the degree by June 2026 may also apply. Candidates in the last year of degree should have obtained minimum 50% aggregate (45% for SC/ST category) in the latest examination.
    • Must have taken/ appeared for any one of the following:
      • XAT 2026
      • CAT 2025 
      • GMAT taken between 01 January 2024 to 15 January 2026 (GMAT or 10th Edition. Details here: https://mba.com/gmatfocus ). Ask GMAC to send the score by 31 January 2026. The GMAT code for GIM is 6VN-62-51.

    Student Reviews for PGDM Big Data Analytics

    College Infrastructure: 5/5
    Academics: 4.3/5
    Placements: 4/5
    Value for Money: 4.3/5
    Campus Life: 5/5

    A good experience overall, would recommend

    Verified Review

    College Infrastructure

    A lush campus surrounded by trees and mountains. The natural feel is very good, air is fresh. The campus id very big too, multiple hostels, academic buildings, a cafeteria, a library, and some shops for daily needs.

    Great experience

    College Infrastructure

    Great infrastructure with all the facilities and essentials that are needed. Hostels are very good and Health club’s facilities for food is the best part of my college. Would suggest students to join HEALTH CLUB rather than other clubs in the college

    Very good college.

    College Infrastructure

    College is so good that you cannot imagine . The way they have maintained they college infrastructure is so beautiful. All the things are neat and clean . When I first visited here . I love it and then after I joined the college.

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