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Quick Facts

Total Fees
19.40 L
Exam
CAT
Seats
180

Fees Details

General

19.40 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

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

  • Must have taken/ appeared for any one of the following:
    • XAT 2025
    • CAT 2024
    • GMAT taken between 01 January 2023 to 15 January 2025 (Including, GMAT Focus Edition. Details here: https://mba.com/gmatfocus ). Ask GMAC to send the score by 31 January 2025. The GMAT code for GIM is 6VN-62-51

  • GIM Analytics Aptitude Test (GAAT) - 2nd  February 2025

Student Reviews for PGDM Big Data Analytics

College Infrastructure: 4.7/5
Academics: 4.3/5
Placements: 5/5
Value for Money: 4.3/5
Campus Life: 4.3/5

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.

Pleasant MBA experience

College Infrastructure

It has got a beautiful infrastructure with all the necessary facilities. Hostels are equipped with Hi-speed WiFi and are well maintained. Living spaces are clear and the food provided is hygienic with decent taste.

The Campus life you aspire!!!!!

College Infrastructure

The campus provides with all the infrastructure required through the course, in times of covid it was difficult to perform lab sessions but the administration managed to provide with as many lab sessions virtually possible . Due to current covid scenario i was unable to be on campus but it didnt let me get excluded from any events organised in the campus. Also for any grievance and health concerns there is student bodies like sac and health club which perform optimally to improve stay on campus.

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