How is the life of a GIM big data analytics student?

I worked for 4.5 years in HR at HCL Technologies in the IT sector and now I am doing a PGDM in Big Data Analytics at the Goa Institute of Management. Life at GIM is awesome. Even though the Big Data Analytics program is only two years old, the curriculum is well-organized and meets industry standards. The number of seats has already doubled in a year, showing how successful the course is.

GIM uses a case-based teaching method. Students tackle real-world business scenarios and are expected to come up with solutions. Besides these cases, they get access to actual business data, using it to apply different analytical tools and models. For this, we have top-notch facilities, including a fully equipped Data Lab and teaching support. Plus, experienced BDA professionals and industry experts teach parts of the courses to bring real-world insights into the classroom. We also collaborate with SAS India, so instructors from SAS Institute come to teach us analytics topics.

Beyond academics, the Big Data Analytics students have the same opportunities as those in other PGDM programs at GIM. For more details, you can visit the Goa Institute of Management, one of India's leading management schools, located in Goa, India.

Studying Big Data Analytics at GIM is quite an enriching experience. The course is well-rounded, focusing on both data science and management, which suits my career goals perfectly. The faculty here is highly qualified, with many having substantial industry experience, making classes engaging.

The summer internships are a real highlight; I worked on live projects that gave me a glimpse into the corporate world. The placement record is fantastic, with 100% placements and offers ranging from 14 to 42 LPA, making it a great return on investment considering the fees. Overall, the environment is competitive but supportive, helping us grow both academically and personally.

Life as a Big Data Analytics student at GIM is quite engaging and intensive. The curriculum is designed to blend technical skills with managerial insights, which is great for someone like me coming from a tech background. The faculty is impressive; most have over 10 years of industry experience, and they encourage a lot of interaction in class.

The exams are detailed and make you think deeply about the subjects. On the internship front, around 38 companies visited last year, and I managed to secure a good stipend of 1.28 lakhs per month. The placement record is solid too, with 100% placements and packages ranging from 14 to 42 LPA. Overall, the experience is rigorous but fulfilling.

Being a Big Data Analytics student at GIM is a mix of hard work and opportunities. The student-faculty ratio is around 1:13, which allows for personalized learning. The curriculum challenges us with both theoretical and practical applications, and the faculty often includes guest lecturers from the industry, which adds a lot of value to our learning.

I found the summer internship program really beneficial, as I got to work on live projects, which is a great way to understand real-world data challenges. The campus life is vibrant with numerous clubs and events, making it easier to balance academics and social activities.