Goa Institute of Management's legacy of 25 years of excellence in management education -
The only programme in Big Data Analytics designed to train students to
become Future-Ready, Data-Fluent Managers!

What is Big Data Analytics?

Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Driven by specialized analytics systems and software, big data analytics can point the way to various business benefits, including new revenue opportunities, more effective marketing, better customer service, improved operational efficiency and competitive advantages over rivals.

Big Data Analytics in GIM

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 degree. 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 programme 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 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 programme 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.

Summer Project

In the summer, after the first year, students are required to spend eight to ten weeks in an organization doing a project on a significant aspect or problem related to BDA.

In-Company Project

In the last term (Term VI) the students shall be placed in companies to do actual analytics project.

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Students Testimonials

Abu Mathews

BDA Batch 2018

He shares why he chose GIM for this BDA degree, the electives he has been enjoying and his excitement toward spending his final semester on a live project as an analyst.

Admissions Open for PGDM in Big Data Analytics Batch 2019–21

GIM Analyitcs Aptitude Test (GAAT)

to be held on Sunday January 27, 2019

To know more,

GIM Big Data Analytics Advantages

Among top 2 in the Non-Blended Format in the very first year of launch*

Analytics India Magazine has ranked GIM's PGDM in Big Data Analytics among top 10 Data Science courses in India in 2018

Only management programme in Big Data Analytics in India

Among top 3 two-year Analytics programmes

Hands-on, Problem-solving mode of learning

*Blended programme combine classroom and online teaching

Prospects for BDA Professionals

According to the U.S. Bureau of Labor Statistics, business analyst jobs are predicted to increase by 22 percent by 2020. According to a recent McKinsey & Company big data report, by 2018, the United States alone could face a shortage of 140,000 to 190,000 professionals with deep analytical skills, as well as 1.5 million managers and analysts with the know-how to analyse the large chunk of big data to make effective decisions.

Another indication of supply-demand gap is the increasing trend in salaries. In the US analytics salary bands have been consistently rising over the years. The average predictive analytics salary (non-managers) in 2015 was $88.4K with a mean bonus of 11 percent, and for managers is $160K with a 19.1 percent bonus. Data scientist salaries are even higher, with the average (for non-managers) being $120K with a mean bonus of 14.5 percent and for managers $183K with a 19.5 percent bonus.

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